阅读说明：本技术 供热系统的调度控制方法及相关装置 (Dispatching control method of heating system and related device ) 是由 吴进 张屹 施烨 金浩 于 2021-09-01 设计创作，主要内容包括：本申请实施例提供了一种供热系统的调度控制方法及相关装置,该方法通过获取第一信息,获取目标函数,并根据约束条件和运行效能,获取供热功率的调节量,该第一信息包括供热系统的状态信息,该目标函数根据上述第一信息和第二信息构建得到,用于计算上述供热系统的运行效能,该第二信息包括供热管网的输入热量、输出热量和管网储能容量,该约束条件为上述第一信息的约束条件和上述第二信息的约束条件,可以提高供热系统的运行效能。(The embodiment of the application provides a scheduling control method and a related device of a heating system, the method includes acquiring an objective function by acquiring first information, and acquiring an adjustment amount of heating power according to a constraint condition and operation efficiency, wherein the first information includes state information of the heating system, the objective function is constructed and acquired according to the first information and second information and is used for calculating the operation efficiency of the heating system, the second information includes input heat, output heat and energy storage capacity of a heating pipe network, and the constraint condition is the constraint condition of the first information and the constraint condition of the second information, so that the operation efficiency of the heating system can be improved.)

1. A scheduling control method of a heating system is characterized by being applied to the heating system, the heating system comprises a heat source, a heating pipe network and heat users, the heating pipe network comprises a heating pipeline and a heat return pipeline, and the method comprises the following steps:

acquiring first information, wherein the first information comprises state information of a heating system;

acquiring an objective function, wherein the objective function is constructed according to the first information and second information and is used for calculating the operation efficiency of the heat supply system, and the second information comprises the input heat, the output heat and the energy storage capacity of a heat supply pipe network;

and acquiring the regulating quantity of the heating power according to a constraint condition and the operation efficiency, wherein the constraint condition is the constraint condition of the first information and the constraint condition of the second information.

2. The method of claim 1, wherein after said obtaining the first information and before said obtaining the objective function, the method further comprises:

and updating a pipe network transmission model and a pipe network energy storage model according to the first information, wherein the pipe network transmission model is a model for calculating the temperature of the medium at the tail end of the pipeline, and the pipe network energy storage model is used for calculating the second information according to the temperature of the medium at the tail end of the pipeline.

3. The method of claim 1 or 2, wherein the obtaining an objective function comprises:

obtaining a first parameter according to the first information, wherein the first parameter comprises an adjustment quantity of the user side temperature of the heat user, a variation quantity of the heat user side temperature of the heat supply pipeline between two adjacent scheduling periods, and a variation quantity of the heat user side temperature of the heat return pipeline between two adjacent scheduling periods;

obtaining a second parameter according to the second information, wherein the second parameter comprises the input heat quantity of the heat source and the variable quantity of the input heat quantity of the heat source between two adjacent scheduling periods;

and constructing the objective function according to the first parameter and the second parameter.

4. The method of claim 3, wherein the objective function is expressed as:

wherein, the C_omFuel cost corresponding to unit output power of the heat source, theThe user side being the hot userA unit penalty for temperature deviation from a set value, saidUnit cost for variation in output of said heat source between two adjacent scheduling cycles, saidFor the unit cost of the temperature change at the hot user side of the heat supply line between two adjacent scheduling cycles, theFor the unit cost of the hot user side temperature variation of the heat return circuit between two adjacent scheduling periods, H_in(t) is the input heat of the heat source, X_load(t) is the adjustment of the user-side temperature of the hot user, X_in(t) is the amount of change in the input heat of the heat source between two adjacent scheduling periods, Δ τ_in(t) is the variation of the temperature of the hot user side of the heat supply pipeline between two adjacent scheduling periods, Δ τ_out(t) is the amount of change in the hot user side temperature of the thermal loop between two adjacent scheduling cycles.

5. The method according to any one of claims 1 to 4, wherein the constraint condition of the first information comprises:

the upper and lower limits of the variation of the temperature of the heat user side of the heat supply pipeline between two adjacent scheduling periods, the upper and lower limits of the variation of the temperature of the heat user side of the heat return pipeline between two adjacent scheduling periods, the upper and lower limits of the adjustment of the temperature of the user side of the heat user and the upper and lower limits of the adjustment of the input heat of the heat source.

6. The method according to any one of claims 1 to 5, wherein the constraint condition of the second information comprises:

the heat supply system comprises an upper limit and a lower limit of input heat of the heat supply pipe network, an upper limit and a lower limit of output heat of the heat supply pipe network and an upper limit and a lower limit of energy storage capacity of the pipe network.

7. The method according to any one of claims 1 to 6, wherein said deriving an adjustment of heating power based on constraints and said operating efficiency comprises:

obtaining a solution according to the constraint condition of the first information, the constraint condition of the second information and the objective function;

in case the solution is substituted into the objective function, the objective function takes a minimum value, the solution comprising the adjustment amount of the heating power.

8. The utility model provides a heating system's dispatch controlling means which characterized in that is applied to heating system, heating system includes heat source, heat supply pipe network and hot user, the heat supply pipe network includes heat supply pipeline and backheat pipeline, the device includes:

the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring first information which comprises state information of a heating system;

the second obtaining unit is used for obtaining an objective function, the objective function is obtained by construction according to the first information and the second information and is used for calculating the operation efficiency of the heat supply system, and the second information comprises the input heat, the output heat and the energy storage capacity of the heat supply pipe network;

and the calculating unit is used for calculating the regulating quantity of the heating power according to a constraint condition and the operation efficiency, wherein the constraint condition is the constraint condition of the first information and the constraint condition of the second information.

9. The apparatus of claim 8, further comprising:

and the updating unit is used for updating a pipe network transmission model and a pipe network energy storage model according to the first information, the pipe network transmission model is a model used for calculating the temperature of the medium at the tail end of the pipeline, and the pipe network energy storage model is used for calculating the second information according to the temperature of the medium at the tail end of the pipeline.

10. The apparatus of claim 8,

the first obtaining unit is specifically configured to obtain a first parameter according to the first information, where the first parameter includes an adjustment amount of a user-side temperature of the heat user, a variation amount of a heat-user-side temperature of the heat supply pipeline between two adjacent scheduling periods, and a variation amount of a heat-user-side temperature of the heat return pipeline between two adjacent scheduling periods;

the second obtaining unit is specifically configured to obtain a second parameter according to the second information, where the second parameter includes an input heat of the heat source and a variation of the input heat of the heat source between two adjacent scheduling periods;

the apparatus further comprises a construction unit for constructing the objective function based on the first parameter and the second parameter.

11. The apparatus of claim 8, wherein the constraint on the first information comprises:

the upper and lower limits of the variation of the temperature of the heat user side of the heat supply pipeline between two adjacent scheduling periods, the upper and lower limits of the variation of the temperature of the heat user side of the heat return pipeline between two adjacent scheduling periods, the upper and lower limits of the adjustment of the temperature of the user side of the heat user and the upper and lower limits of the adjustment of the input heat of the heat source.

12. The apparatus of claim 8, wherein the constraint condition of the second information comprises:

the heat supply system comprises an upper limit and a lower limit of input heat of the heat supply pipe network, an upper limit and a lower limit of output heat of the heat supply pipe network and an upper limit and a lower limit of energy storage capacity of the pipe network.

13. The apparatus of claim 8,

the computing unit is specifically configured to obtain a solution according to the constraint condition of the first information, the constraint condition of the second information, and the objective function;

in case the solution is substituted into the objective function, the objective function takes a minimum value, the solution comprising the adjustment amount of the heating power.

14. An electronic device, comprising:

a memory for storing a program;

a processor for executing the program stored by the memory, the processor being configured to perform the method of any of claims 1 to 7 when the program is executed.

15. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 1 to 7.

Technical Field

The present application relates to the field of heating technologies, and in particular, to a scheduling control method and a related apparatus for a heating system.

Background

With the development of scientific technology, people have increasingly means for dealing with extreme cold weather, wherein the most important means is to construct a heating system. The heat supply system generally comprises a heat source, a heat supply pipe network and heat users, the heat supply system mainly utilizes electric power and natural gas for heat supply, the two heat supply modes are basically the same, the heat source heats water in the boiler to a certain temperature through electricity or natural gas for supplying heat, and then the heat supply pipe network transmits the hot water to the heat users, so that the heat utilization requirements of the users are met.

The optimal scheduling method adopted by the existing heating system generally combines a scheduling scheme designed in advance by a system designer and scheduling experience of a field operator on the heating system, thereby controlling the output heat of the system.

However, in practical situations, the method is more dependent on the experience of the scheduling personnel, and it is difficult to accurately control the heating power of the system, so that too much or too little heat is generated, and the operation efficiency of the system is low.

Disclosure of Invention

The embodiment of the application discloses a scheduling control method and a related device of a heating system.

In a first aspect, the present application provides a scheduling control method for a heating system, which is applied to a heating system, where the heating system includes a heat source, a heating pipe network and a heat consumer, the heating pipe network includes a heating pipeline and a heat return pipeline, and the method includes: acquiring first information, wherein the first information comprises state information of a heating system; acquiring an objective function, wherein the objective function is constructed according to the first information and second information and is used for calculating the operation efficiency of the heat supply system, and the second information comprises the input heat, the output heat and the energy storage capacity of a heat supply pipe network; and acquiring the regulating quantity of the heating power according to a constraint condition and the operation efficiency, wherein the constraint condition is the constraint condition of the first information and the constraint condition of the second information.

The state information of the heat supply system comprises the temperature of media at two ends of the heat supply pipeline and the heat return pipeline, the flow rate of the media in the pipe network, the heat supply power, the input heat and other information. The method adopts the objective function to represent the operation efficiency of the heating system by constructing the objective function, obtains the adjustment quantity of the heating power under the condition of meeting the constraint condition of the state information, enables the operation efficiency of the heating system to be the highest, and can improve the operation efficiency of the heating system.

In an optional implementation manner of the first aspect, after the obtaining the first information and before the obtaining the objective function, the method further includes: and updating a pipe network transmission model and a pipe network energy storage model according to the first information, wherein the pipe network transmission model is a model for calculating the temperature of the medium at the tail end of the pipeline, and the pipe network energy storage model is used for calculating the second information according to the temperature of the medium at the tail end of the pipeline.

In this embodiment, the temperature of the medium at the end of the heat supply pipeline and the temperature of the medium at the end of the heat return pipeline can be calculated by updating the pipeline network transmission model, the input heat and the output heat of the heat supply system and the energy storage capacity of the pipeline network can be calculated by updating the pipeline network energy storage model, and the energy storage capacity of the pipeline network can be calculated according to the input heat and the output heat of the heat supply system. The pipe network transmission model can analyze the condition that heat exchange occurs between a medium and the outside in the transmission process of a pipe network and is used for analyzing the temperature of the medium at the tail end of the pipeline after transmission loss occurs; the pipe network energy storage model can analyze the relationship between the medium temperature and the input heat, the output heat and the pipe network energy storage capacity. Therefore, the temperature change of the medium in the pipe network can be analyzed according to the result, the difference between the temperature of the hot user side and the expected temperature of the user is reduced, and the use experience of the user is improved.

In an optional implementation manner of the first aspect, the obtaining the objective function includes: obtaining a first parameter according to the first information, wherein the first parameter comprises an adjustment quantity of the user side temperature of the heat user, a variation quantity of the heat user side temperature of the heat supply pipeline between two adjacent scheduling periods, and a variation quantity of the heat user side temperature of the heat return pipeline between two adjacent scheduling periods; obtaining a second parameter according to the second information, wherein the second parameter comprises the input heat quantity of the heat source and the variable quantity of the input heat quantity of the heat source between two adjacent scheduling periods; and constructing the objective function according to the first parameter and the second parameter.

In this embodiment, a relational expression, that is, an objective function, is constructed by obtaining an adjustment amount of a user-side temperature of the heat user, a variation amount of a heat user-side temperature of the heat supply pipeline between two adjacent scheduling periods, a variation amount of a heat user-side temperature of the heat return pipeline between two adjacent scheduling periods, and a variation amount of an input heat of the heat source and an input heat of the heat source between two adjacent scheduling periods, so as to represent an operation efficiency of the heat supply system and improve an efficiency of system adjustment.

In an optional implementation manner of the first aspect, the expression of the objective function is:

wherein, the C_omFuel cost corresponding to unit output power of the heat source, theA unit penalty for a deviation of the user-side temperature of the hot user from a set value, theUnit cost for variation in output of said heat source between two adjacent scheduling cycles, saidFor the unit cost of the temperature change at the hot user side of the heat supply line between two adjacent scheduling cycles, theFor the unit cost of the hot user side temperature variation of the heat return circuit between two adjacent scheduling periods, H_in(t) is the input heat of the heat source, X_load(t) is the adjustment of the user-side temperature of the hot user, X_in(t) is the amount of change in the input heat of the heat source between two adjacent scheduling periods, Δ τ_in(t) is two adjacent scheduling periodsThe variation of the temperature of the hot user side of the heat supply pipeline, delta tau_out(t) is the amount of change in the hot user side temperature of the thermal loop between two adjacent scheduling cycles.

By establishing the objective function, the operation efficiency of the heating system can be measured. By minimizing C_om×H_in(t) the purpose of reducing the operation cost of the heat source is achieved, so that the operation energy consumption cost of the heat supply system is reduced; by minimizingThe purpose of reducing the deviation of the temperature of the hot user side relative to the preset value is achieved, so that the energy supply experience of the hot user side is improved; byThe purpose of reducing the variation of the heat supply power of the heat source is achieved, so that the frequent variation of the output of the heat source is avoided, and the operation condition of a heat supply system is improved; byAndthe purpose of limiting the temperature change trend of the supply/return water pipeline is achieved respectively, thereby reducing the fluctuation of the supply/return water heat temperature at the heat user side and being capable of passing throughAndthe flexible configuration of the value achieves the purpose of adjusting the temperature of the supply/return water at the hot user side.

In an optional implementation manner of the first aspect, the constraint condition of the first information includes: the upper and lower limits of the variation of the temperature of the heat user side of the heat supply pipeline between two adjacent scheduling periods, the upper and lower limits of the variation of the temperature of the heat user side of the heat return pipeline between two adjacent scheduling periods, the upper and lower limits of the adjustment of the temperature of the user side of the heat user and the upper and lower limits of the adjustment of the input heat of the heat source.

In the embodiment, the variation of the temperature of the heat-supply pipeline at the heat user side, the variation of the temperature of the heat-return pipeline at the heat user side, the adjustment of the temperature of the heat user at the user side, and the minimum value and the maximum value of the input heat are limited, so that the variation of each parameter is controlled in a certain range, the scheduling control of the system is in a reasonable range, and the stability of the system operation can be improved.

In an optional implementation manner of the first aspect, the constraint condition of the second information includes: the heat supply system comprises an upper limit and a lower limit of input heat of the heat supply pipe network, an upper limit and a lower limit of output heat of the heat supply pipe network and an upper limit and a lower limit of energy storage capacity of the pipe network.

In this embodiment, the variation range of each parameter is controlled by limiting the input heat of the heat supply pipe network, the output heat of the heat supply pipe network and the minimum value and the maximum value of the energy storage capacity of the pipe network, so that the scheduling control of the system is in a reasonable range, and the stability of the system operation can be improved.

In an optional embodiment of the first aspect, the obtaining the adjustment amount of the heating power according to the constraint condition and the operation efficiency includes: obtaining a solution according to the constraint condition of the first information, the constraint condition of the second information and the objective function; in case the solution is substituted into the objective function, the objective function takes a minimum value, the solution comprising the adjustment amount of the heating power.

In the embodiment, a solution is obtained through a constraint condition and an objective function, the solution includes the adjustment quantity of other parameters such as the adjustment quantity of the temperature expected by a user, the adjustment quantity of the heating power and the like, the solution is substituted into the objective function, so that the objective function obtains the minimum value, and the obtained adjustment quantity of the parameters is taken as a scheduling scheme, so that the operation efficiency of the heating system can be the lowest; it can be understood that the adjustment amount of a plurality of parameters can provide different scheduling modes, and the scheduling flexibility of the heating system is improved.

In a second aspect, the present application provides a heating system's dispatch control device is applied to heating system, heating system includes heat source, heat supply pipe network and hot user, the heat supply pipe network includes heat supply pipeline and backheat pipeline, the device includes: the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring first information which comprises state information of a heating system; the second obtaining unit is used for obtaining an objective function, the objective function is obtained by construction according to the first information and the second information and is used for calculating the operation efficiency of the heat supply system, and the second information comprises the input heat, the output heat and the energy storage capacity of the heat supply pipe network; and the calculating unit is used for calculating the regulating quantity of the heating power according to a constraint condition and the operation efficiency, wherein the constraint condition is the constraint condition of the first information and the constraint condition of the second information.

In an alternative embodiment of the second aspect, the apparatus further comprises: and the updating unit is used for updating a pipe network transmission model and a pipe network energy storage model according to the first information, the pipe network transmission model is a model used for calculating the temperature of the medium at the tail end of the pipeline, and the pipe network energy storage model is used for calculating the second information according to the temperature of the medium at the tail end of the pipeline.

In an optional implementation manner of the second aspect, the first obtaining unit is specifically configured to obtain a first parameter according to the first information, where the first parameter includes an adjustment amount of a user-side temperature of the hot user, a variation amount of a hot user-side temperature of the heat supply pipeline between two adjacent scheduling cycles, and a variation amount of a hot user-side temperature of the heat return pipeline between two adjacent scheduling cycles; the second obtaining unit is specifically configured to obtain a second parameter according to the second information, where the second parameter includes an input heat of the heat source and a variation of the input heat of the heat source between two adjacent scheduling periods; the apparatus further comprises a construction unit for constructing the objective function based on the first parameter and the second parameter.

In an optional implementation manner of the second aspect, the constraint condition of the first information includes: the upper and lower limits of the variation of the temperature of the heat user side of the heat supply pipeline between two adjacent scheduling periods, the upper and lower limits of the variation of the temperature of the heat user side of the heat return pipeline between two adjacent scheduling periods, the upper and lower limits of the adjustment of the temperature of the user side of the heat user and the upper and lower limits of the adjustment of the input heat of the heat source.

In an optional implementation manner of the second aspect, the constraint condition of the second information includes: the heat supply system comprises an upper limit and a lower limit of input heat of the heat supply pipe network, an upper limit and a lower limit of output heat of the heat supply pipe network and an upper limit and a lower limit of energy storage capacity of the pipe network.

In an optional implementation manner of the second aspect, the calculating unit is specifically configured to obtain a solution according to the constraint condition of the first information, the constraint condition of the second information, and the objective function; in case the solution is substituted into the objective function, the objective function takes a minimum value, the solution comprising the adjustment amount of the heating power.

In a third aspect, the present application provides an electronic device comprising: a memory for storing a program; a processor for executing the program stored in the memory, the processor being configured to perform the method of the first aspect and any one of the alternative embodiments when the program is executed.

In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program comprising program instructions that, when executed by a processor, cause the processor to perform a method as in the first aspect and any one of the alternative embodiments.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings used in the embodiments or the background art of the present application will be briefly described below.

Fig. 1 is an architecture diagram of a heating system according to an embodiment of the present application;

fig. 2 is a flowchart of a scheduling control method of a heating system according to an embodiment of the present application;

FIG. 3 is a block diagram of another embodiment of a heating system according to the present disclosure;

fig. 4 is a schematic structural diagram of a scheduling control device of a heating system according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more clear, the present application will be further described with reference to the accompanying drawings.

The terms "first" and "second," and the like in the description, claims, and drawings of the present application are used solely to distinguish between different objects and not to describe a particular order. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. Such as a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In this application, "at least one" means one or more, "a plurality" means two or more, "at least two" means two or three and three or more, "and/or" for describing an association relationship of associated objects, which means that there may be three relationships, for example, "a and/or B" may mean: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one item(s) below" or similar expressions refer to any combination of these items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b," a and c, "" b and c, "or" a and b and c.

In order to describe the scheme of the present invention more clearly, some knowledge related to the scheduling control method, apparatus, device and storage medium of the heating system provided in the embodiments of the present application will be described first.

A heat supply system: the heating system generally comprises a heat source, a heating pipe network and a heat user. The heat source mainly comprises a thermal power plant, a regional boiler room, industrial waste heat, nuclear energy, geothermal energy and the like, has the advantages of large capacity, high heat production efficiency, less fuel consumption, environmental protection, labor saving, small occupied area and the like, and can provide heat. The heat supply pipe network is generally a heat supply pipeline which is started from a heat source and led to a building heat inlet from the heat source, and a plurality of heat supply pipelines form the heat supply pipe network to play a role in transferring heat. The hot user refers to a device and equipment which are connected with the user side for receiving heat, and the heat utilization requirement of the user is met.

A heat supply pipe network: the heat supply pipe network is divided into a heat supply pipeline and a heat return pipeline, and the construction diagram of the heat supply system shown in fig. 1 can be specifically referred. In fig. 1, the heating network includes a heating pipeline 102 and a heat recovery pipeline 104, and the heating pipeline 102 and the heat recovery pipeline 104 are connected to a heat source 101 and a heat consumer 102. In the heat supply process, a heat source 101 heats a medium, the heated high-temperature medium flows to a heat user 103 through a heat supply pipeline 102, the high-temperature medium becomes a low-temperature medium after heat is released by the heat user 103, heat is provided for the user, and the low-temperature medium flows back to the heat source 101 through a heat return pipeline 104, and the process is repeated. In fig. 1, 102A is an end of the heat supply pipeline 102 connected to the heat source 101, 102B is an end of the heat supply pipeline 102 connected to the heat consumer 103, 104A is an end of the heat return pipeline 104 connected to the heat source 101, and 104B is an end of the heat return pipeline 104 connected to the heat consumer 103. In some embodiments of the present application, the heat source 101 may also be referred to as a heat source side, the heat consumer 103 may also be referred to as a heat consumer side, 102A may also be referred to as a heat source side of a heat supply pipeline, 102B may also be referred to as a heat supply pipeline end or a heat consumer side of a heat supply pipeline, 104A may also be referred to as a heat return pipeline end or a heat source side of a heat return pipeline, and 104B may also be referred to as a heat consumer side of a heat return pipeline.

Objective function and constraints: in the optimization design for a certain problem, an objective function is a desired objective form expressed by design variables, and in an engineering sense, the objective function is a performance standard of a system, such as the shortest production time, the smallest energy consumption, and the like of a product, and the process of establishing the objective function is a process of finding the relationship between the design variables and the objectives. The objective function depends on the design variables, and the value ranges of the design variables have various limiting conditions, such as strength, time and the like. Each constraint can be written as a function containing a design variable, called a constraint or design constraint.

With the development of scientific technology, people have increasingly means for dealing with extreme cold weather, wherein the most important means is to construct a heating system. The heat supply system generally comprises a heat source, a heat supply pipe network and heat users, the heat supply system mainly utilizes electric power and natural gas for heat supply, the two heat supply modes are basically the same, the heat source heats water in the boiler to a certain temperature through electricity or natural gas for supplying heat, and then the heat supply pipe network transmits the hot water to the heat users, so that the heat utilization requirements of the users are met. The optimal scheduling method adopted by the existing heating system generally combines a scheduling scheme designed in advance by a system designer and scheduling experience of a field operator on the heating system, thereby controlling the output heat of the system. However, in practical situations, the method is more dependent on the experience of the scheduling personnel, and it is difficult to accurately control the heating power of the system, so that too much or too little heat is generated, and the operation efficiency of the system is low.

Aiming at the defects in the method, the embodiment of the application provides a scheduling control method of a heating system. As shown in fig. 2, the method may include the steps of:

201. the scheduling device acquires first information, wherein the first information comprises state information of the heating system.

The scheduling device may be a computer, a mobile phone, an industrial control device, a wearable device, or other terminal devices with data storage and calculation functions, which is not limited in this embodiment.

The heat supply system comprises a heat source, a heat supply pipe network and heat users, wherein the heat supply pipe network comprises a heat supply pipeline and a heat return pipeline. The state information of the heating system may include a medium temperature at the end of the heating pipeline, a medium temperature at the end of the regenerative pipeline, heating power, a flow rate of a medium inside the pipeline, and the like. The state information of the heat supply system and the scheduling device can be acquired by a data acquisition and monitoring system. The heating system may be the heating system shown in fig. 1.

In some embodiments of the present application, after the step 201 is executed, the scheduling device further updates a pipe network transmission model and a pipe network energy storage model according to the first information, where the pipe network transmission model is a model for calculating a temperature of a medium at an end of a pipeline, and the pipe network energy storage model is used for calculating second information according to the temperature of the medium at the end of the pipeline.

The pipe network transmission model can be used for analyzing the medium temperature at the tail end of a pipeline passing through the pipe network transmission loss, the pipe network energy storage model is used for analyzing the relation between the medium temperature at the tail end of the pipeline and input heat, output heat and pipe network energy storage capacity, and the pipe network energy storage capacity can be obtained through the analysis of the input heat and the output heat. Because the medium can exchange heat with the external environment in the pipeline transmission process, the relation among the input/output heat, the medium flow velocity and the temperature can be analyzed through the pipe network transmission model and the pipe network energy storage model.

202. And the scheduling device acquires an objective function, and the objective function is constructed according to the first information and the second information.

The second information comprises the input heat, the output heat and the energy storage capacity of the heat supply pipe network.

The objective function can be used for calculating the operation efficiency of the heating system as a method for judging the operation efficiency of the system.

In some embodiments of the present application, the obtaining the objective function includes: obtaining a first parameter according to the first information, wherein the first parameter comprises an adjustment quantity of the user side temperature of the heat user, a variation quantity of the heat user side temperature of the heat supply pipeline between two adjacent scheduling periods, and a variation quantity of the heat user side temperature of the heat return pipeline between two adjacent scheduling periods; obtaining a second parameter according to the second information, wherein the second parameter comprises the input heat quantity of the heat source and the variable quantity of the input heat quantity of the heat source between two adjacent scheduling periods; and constructing the objective function according to the first parameter and the second parameter.

203. The scheduling device obtains the regulating quantity of the heat supply power according to the constraint condition and the operation efficiency.

The constraint conditions are the constraint conditions of the first information and the constraint conditions of the second information, and the heating system adopts the adjustment quantity of the heating power in the next scheduling period, so that the operation efficiency of the heating system can be the lowest.

In some embodiments of the present application, the constraint conditions of the first information include upper and lower limit constraints on a variation of a temperature of a heat user side of the heat supply pipeline between two adjacent scheduling periods, upper and lower limit constraints on a variation of a temperature of a heat user side of the heat return pipeline between two adjacent scheduling periods, upper and lower limit constraints on a regulation of a temperature of a user side of the heat user, and upper and lower limit constraints on a regulation of an input heat of the heat source, and the constraint conditions of the second information include upper and lower limit constraints on an input heat of the heat supply pipe network, upper and lower limit constraints on an output heat of the heat supply pipe network, and upper and lower limit constraints on an energy storage capacity of the pipe network.

For a detailed description of the objective function and the constraint conditions, the present application provides a system architecture diagram of a heating system, please refer to fig. 3. As shown in fig. 3, the heating system comprises a heat source 301, a heating pipeline 302, a heat consumer 303 and a heat return pipeline 304, wherein the heating pipeline 302 and the heat return pipeline 304 can be called a heating pipe networkThe heat source 301 and the heat consumer 303 are connected with the heat return pipeline through a heat supply pipeline. In the t-th scheduling period of the heating system, the heat source 301 heats a medium, wherein the medium may be water, and flows to the heating pipeline 302 through the heated medium, and the temperature of the medium at the heat source side of the heating pipeline 302 may be represented as τ_S(t); it can be understood that the medium can be heat-transferred with the external environment during the transportation of the heat supply pipeline 302 to cause the loss of heat energy, and the temperature of the medium reaching the end of the heat supply pipeline 302 can be represented as τ_in(t) of (d). The medium reaches the hot user side 303, which can provide heat to the user to meet the user's heat demand, and the temperature of the hot user side can be represented as tau_user(t)，The expected temperature of the user at the hot user side can be represented, and it is understood that the temperature at the hot user side can be the temperature of the environment where the user is located, such as the indoor temperature, and the expected temperature of the user at the hot user side can be the indoor temperature set by the user; the medium then flows into the regenerative circuit 304 back to the heat source 301, and the temperature of the medium at the hot user side of the regenerative circuit 304 can be represented as τ_out(t); it can be understood that the medium will be heat-transferred to the external environment during the transportation of the regenerative circuit 304 to cause the loss of heat energy, and the temperature of the medium reaching the end of the regenerative circuit 304 can be represented as τ_R(t) of (d). In the scheduling period t, the input heat of the heat supply pipe network can be represented as H_in(t), it is understood that the heating amount generated by the heat source 301 may be the product of the heating power of the heat source 301 and the scheduling period t; the output heat of the heating network can be expressed as H_out(t)。

Based on the heating system shown in fig. 3, the above objective function can be expressed as:

wherein, the above-mentioned C_omThe fuel cost corresponding to the unit output of the heat source 301A unit penalty for deviation of the user-side temperature of the hot user 303 from the desired value, the unit penalty beingIs the unit cost of the heating power variation of the heat source 301 between two adjacent scheduling periods (i.e. scheduling period t and scheduling period (t-1)), and the unit cost of the heating power variation of the heat source 301For the unit cost of the temperature variation on the hot user side of the heat supply pipeline 302 between two adjacent scheduling cycles, the unit costFor the unit cost of the hot user side temperature variation of the heat loop 304 between two adjacent scheduling periods, the H_in(t) is the input heat of the heat supply pipe network, the X_load(t) is the amount of adjustment of the user-side temperature of the hot user 303, X_in(t) is a change amount of the heat input from the heat source 301 between two adjacent scheduling periods, and Δ τ is_in(t) is the variation of the temperature of the hot user side of the heat supply pipeline 302 between two adjacent scheduling periods, Δ τ_out(t) is the amount of change in the hot user side temperature of the above-described thermal loop 304 between two adjacent scheduling periods.

By establishing the objective function, the operation efficiency of the heating system can be measured. By minimizing C_om×H_in(t) the purpose of reducing the operation cost of the heat source 301 is achieved, so that the operation energy consumption cost of the heating system is reduced; by minimizingThe purpose of reducing the deviation of the temperature of the hot user side relative to the preset value is achieved, so that the energy supply experience of the hot user side is improved; byTo achieve the reductionThe purpose of the heat supply power variation of the small heat source 301 is achieved, so that frequent variation of the output of the heat source 301 is avoided, and the operation condition of a heat supply system is improved; byAndthe purpose of limiting the temperature change trend of the supply/return water pipeline is achieved respectively, thereby reducing the fluctuation of the supply/return water heat temperature at the heat user side and being capable of passing throughAndthe flexible configuration of the value achieves the purpose of adjusting the temperature of the supply/return water at the hot user side.

Based on the heating system shown in fig. 3, the above constraint condition can be expressed as:

1) hot user 303 side temperature constraint:

the constraint expression represents the temperature τ of the hot user 303 side in the t-th scheduling period_user(t) should be between the lower temperature limit of the hot user 303 sideτ _userAnd upper limit of hot user side temperatureTo (c) to (d);

2) heat source side temperature constraint of the heat supply pipeline 302:

the constraint expression represents the heat source side temperature tau of the heat supply pipeline 302 in the t-th scheduling period_S(t) should be between the lower heat source side temperature limit of the heat supply pipeline 302τ _SAnd the upper limit of the heat source side temperature of the heat supply pipeline 302To (c) to (d);

3) heat source side temperature constraint of the heat return circuit 304:

the constraint represents the heat source side temperature τ of the thermal loop 304 during the t-th scheduling period_R(t) should be between the lower heat source side temperature limit of the heat return circuit 304τ _RAnd the upper temperature limit on the heat source side of the regenerative pipelineTo (c) to (d);

4) heat supply pipe network's input heat restraint:

the constraint expression represents the input heat H of the heat supply pipe network in the t-th scheduling period_in(t) should be in the lower limit of heat input H of heat supply pipe network_in(t) upper limit of heat injected into heat supply pipe networkTo (c) to (d);

5) and (3) output heat restraint of the heat supply pipe network:

the constraint expression represents the output heat H of the heat supply pipe network in the t-th scheduling period_out(t) should be between the lower limit H of the output heat of the heat supply pipe network_out(t) upper limit of heat output of heat supply pipe networkThe method comprises the following steps:

6) heat source side temperature variation constraint of the heat supply pipeline 302:

-Δτ_S≤τ_S(t)-τ_S(t-1)≤Δτ_S

the constraint expression represents the heat source side temperature tau of the heat supply pipeline 302 in the t-th scheduling period_S(t) Heat Source side temperature τ of Heat supply line 302 in the immediately preceding scheduling cycle (i.e., t-1 st scheduling cycle)_SThe difference between (t-1) should be between the lower limit of the heat source side temperature variation of the heat supply pipeline 302-Delta tau_SAnd the upper limit [ delta ] tau of the temperature variation of the heat supply pipeline 302 at the heat source side_STo (c) to (d);

7) temperature change constraint on the hot user 303 side:

-Δτ_user≤τ_user(t)-τ_user(t-1)≤Δτ_user

the constraint expression represents the temperature τ of the hot user 303 side in the t-th scheduling period_user(t) temperature τ of hot user 303 side in the previous scheduling period (i.e., t-1 th scheduling period) adjacent to (t)_userThe difference between (t-1) should be between the lower limit of temperature change- Δ τ on the hot user 303 side_userAnd an upper limit Δ τ of temperature change on the hot user 303 side_userIn the meantime.

8) Thermal user side temperature variation constraint of the heat supply pipeline 302:

-Δτ_in≤τ_in(t)-τ_in(t-1)≤Δτ_in

the constraint expression represents the user side temperature tau of the heat supply pipeline 302 in the t dispatching cycle_in(t) temperature τ of the hot user side of the heat supply pipeline 302 in the immediately preceding scheduling cycle (i.e., t-1 st scheduling cycle)_inThe difference between (t-1) should be between the lower limit of temperature variation-Delta tau at the heat consumer side of the heat supply pipeline 302_inAnd an upper temperature limit Δ τ of the hot user side of the heating pipeline 302_inTo (c) to (d);

9) thermal user side temperature variation constraints for the heat return circuit 304:

-Δτ_out≤τ_out(t)-τ_out(t-1)≤Δτ_out

the constraint represents the hot user side temperature τ of the thermal loop 304 during the t-th scheduling period_out(t) the hot user side temperature τ of the thermal loop 304 in the previous scheduling period (i.e., t-1 st scheduling period) adjacent thereto_outThe difference between (t-1) should be between the lower limit of temperature change- Δ τ -on the hot user side of the heat return circuit 304_outAnd an upper temperature limit Δ τ on the customer side of the regenerative circuit 304_outTo (c) to (d);

10) adjustment amount X of temperature of hot user 303 side in scheduling period t_Load(t) constraining:

the constraint is used forCarrying out linearization representation;

11) the adjustment amount of the input heat of the heat source 301 in the adjustment period t is restricted:

X_in(t)≥H_in(t)-H_in(t-1)

X_in(t)≥H_in(t-1)-H_in(t)

the constraint is used for X pair_in(t)＝|H_in(t)-H_in(t-1) | is represented by linearization, where H_inAnd (t) represents the product of the heating power of the heat source and the scheduling period in the t-1 period.

12) Energy storage capacity constraint of a heating system pipe network:

in the constraint formula, capES is the equivalent heat storage capacity of the pipe network,is the minimum value of the heat storage capacity of the pipe network,for maximum heat storage capacity of pipe network, E_ES(t) is the capacity of the stored energy within the scheduling period t.

The process of the dispatch control of the heating system is described below in connection with the structure of the dispatch control device of the heating system. Fig. 4 is a schematic structural diagram of a scheduling control device of a heating system according to an embodiment of the present application. The scheduling control apparatus in fig. 4 may be the scheduling apparatus of the foregoing embodiment. According to fig. 4, the dispatch control device of the heating system comprises:

a first obtaining unit 401, configured to obtain first information, where the first information includes status information of the heating system.

A second obtaining unit 402, configured to obtain an objective function, where the objective function is constructed according to the first information and second information, and is used to calculate the operation efficiency of the heating system, and the second information includes input heat, output heat, and energy storage capacity of the heating pipe network.

A calculating unit 403, configured to calculate an adjustment amount of the heating power according to a constraint condition and the operation efficiency, where the constraint condition is a constraint condition of the first information and a constraint condition of the second information.

In an optional embodiment, the apparatus further comprises: an updating unit 404, configured to update a pipe network transmission model and a pipe network energy storage model according to the first information, where the pipe network transmission model is a model used to calculate a temperature of a medium at an end of a pipeline, and the pipe network energy storage model is used to calculate the second information according to the temperature of the medium at the end of the pipeline.

In an optional embodiment, the first obtaining unit 401 is specifically configured to obtain a first parameter according to the first information, where the first parameter includes an adjustment amount of a user-side temperature of the hot user, a variation amount of a hot user-side temperature of the heat supply pipeline between two adjacent scheduling cycles, and a variation amount of a hot user-side temperature of the heat return pipeline between two adjacent scheduling cycles; the second obtaining unit 402 is specifically configured to obtain a second parameter according to the second information, where the second parameter includes an input heat quantity of the heat source and a variation of the input heat quantity of the heat source between two adjacent scheduling periods; the apparatus further comprises a construction unit 405 configured to construct the objective function according to the first parameter and the second parameter.

In an optional embodiment, the constraint condition of the first information includes: the upper and lower limits of the variation of the temperature of the heat user side of the heat supply pipeline between two adjacent scheduling periods, the upper and lower limits of the variation of the temperature of the heat user side of the heat return pipeline between two adjacent scheduling periods, the upper and lower limits of the adjustment of the temperature of the user side of the heat user and the upper and lower limits of the adjustment of the input heat of the heat source.

In an optional embodiment, the constraint condition of the second information includes: the upper and lower limits of the input heat of the heat supply pipe network are restricted, the upper and lower limits of the output heat of the heat supply pipe network are restricted, and the upper and lower limits of the energy storage capacity of the pipe network are restricted.

In an optional embodiment, the calculating unit 403 is specifically configured to obtain a solution according to a constraint condition of the first information, a constraint condition of the second information, and the objective function; the objective function takes a minimum value when the solution is substituted into the objective function, and the solution includes an adjustment amount of the heating power.

It should be understood that the division of each unit in the above energy scheduling device is only a division of a logical function, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. For example, each of the above units may be a processing element separately set up, or may be implemented by being integrated in a chip of the terminal, or may be stored in a storage element of the controller in the form of program code, and a processing element of the processor calls and executes the functions of each of the above units. In addition, the units can be integrated together or can be independently realized. The processing element may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the method or the units above may be implemented by hardware integrated logic circuits in a processor element or instructions in software. The processing element may be a general-purpose processor, such as a Central Processing Unit (CPU), or may be one or more integrated circuits configured to implement the above method, such as: one or more application-specific integrated circuits (ASICs), one or more microprocessors (DSPs), one or more field-programmable gate arrays (FPGAs), etc.

Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 5, the electronic device 500 includes a processor 501, a memory 502, and a communication interface 503; the processor 501, the memory 502, and the communication interface 503 are connected to each other by a bus. The electronic device may be the scheduling apparatus in the foregoing embodiments.

The memory 502 includes, but is not limited to, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), or a compact disc read-only memory (CDROM), and the memory 502 is used for related instructions and data. The communication interface 503 is used for receiving and transmitting data, and may implement the functions of the first obtaining unit 401, the second obtaining unit 402, and the updating unit 404 in fig. 4.

The processor 501 may be one or more Central Processing Units (CPUs), and in the case where the processor 1001 is one CPU, the CPU may be a single-core CPU or a multi-core CPU. The steps performed by the scheduling means in the above embodiments may be based on the structure of the electronic device shown in fig. 5. In particular, the processor 501 may implement the functions of the calculation unit 403 and the construction unit 405 in fig. 4.

The processor 501 in the electronic device 500 is configured to read the program code stored in the memory 502 to execute the scheduling control method of the heating system in the foregoing embodiment.

In an embodiment of the present application, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, implements: acquiring first information, wherein the first information comprises state information of a heating system; acquiring an objective function, wherein the objective function is constructed according to the first information and second information and is used for calculating the operation efficiency of the heating system, and the second information comprises the input heat, the output heat and the energy storage capacity of a heat supply pipe network; and acquiring the regulating quantity of the heating power according to the constraint condition and the operation efficiency, wherein the constraint condition is the constraint condition of the first information and the constraint condition of the second information.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described in terms of flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.