阅读说明：本技术 基于社区微网电能交易的储能设备控制方法及装置 (Energy storage equipment control method and device based on community micro-grid electric energy transaction ) 是由 李振 赵鹏翔 王楠 张春雁 窦真兰 周喜超 安坤 丛琳 李娜 于 2021-08-16 设计创作，主要内容包括：本发明提供了一种基于社区微网电能交易的储能设备控制方法及装置,所述方法包括：测量社区微网与主电网连接点的净负荷；根据所述净负荷确定社区微网中储能设备的控制参数；将所述储能设备的控制参数发送至储能设备控制器,以使得所述储能设备根据所述控制参数进行充放电。只需社区微网与主电网连接点的实时净负荷一种通信数据,配合社区微网产消者的储能设备性能数据,即可对储能设备即时充放电功率进行有效优化。(The invention provides an energy storage device control method and device based on community microgrid electric energy transaction, wherein the method comprises the following steps: measuring net loads of connection points of the community micro-grid and the main grid; determining control parameters of energy storage equipment in the community microgrid according to the net load; and sending the control parameters of the energy storage equipment to an energy storage equipment controller so that the energy storage equipment can be charged and discharged according to the control parameters. The real-time charge and discharge power of the energy storage equipment can be effectively optimized only by the real-time net load communication data of the connection point of the community micro-grid and the main grid and the energy storage equipment performance data of community micro-grid producers and consumers.)

1. The energy storage device control method based on community microgrid electric energy transaction is characterized by comprising the following steps:

measuring net loads of connection points of the community micro-grid and the main grid;

determining control parameters of energy storage equipment in the community microgrid according to the net load;

sending the control parameters of the energy storage equipment to an energy storage equipment controller so that the energy storage equipment can be charged and discharged according to the control parameters;

the determining of the control parameters of the energy storage device in the community microgrid according to the net load comprises the following steps:

judging whether the energy storage equipment is in a charging or discharging state according to the net load;

when the energy storage device is in a charging state, determining charging parameters of the energy storage device according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is charged by an amount which is in a linear relation with the nominal capacity of the energy storage device; and when the energy storage device is in a discharging state, the discharging parameters of the energy storage device are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers i and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is discharged by adopting the amount in a linear relation with the nominal capacity of the energy storage device.

2. The method of claim 1 wherein the determining the energy storage device charging parameters is based on the net load of all the producers at time slot t, the maximum charging power of all the producer's energy storage devices, and the charging power of the energy storage devices of a single producer i,

the following calculation is adopted:

wherein, theThe charging power of the energy storage equipment in the time slot t is referred to;the discharge power of the energy storage device in time slot t, Np_i ^tFor the net load of the producer i in time slot t,maximum discharge power of energy storage equipment of all producers and consumers in community microgrid, whereinFor single productionThe maximum discharge power of the starter i.

3. The method of claim 2, wherein determining the charging parameters for the energy storage devices based on the net loads of all the producers at time slot t, the maximum charging powers of all the producer energy storage devices, and the charging powers of the energy storage devices of a single producer i, further comprises:

when the net load is a positive value, the charging power of the energy storage equipment in the community microgrid needs to meet the following conditions:

wherein the content of the first and second substances,for the producer i to charge with electric power, Δ P, over time t_BWA bandwidth of a set value for charging (or discharging) the energy storage device.

4. A method according to claim 3, characterized in that the discharge parameters of the energy storage devices are determined according to the net load of all the producers at time slot t, the maximum charging power of all the producer energy storage devices and the charging power of the energy storage devices of a single producer i,

calculated using the following:

the SOC is the state of charge of the energy storage device,andminimum and maximum allowed SOC.

5. The method of claim 4, wherein determining the discharge parameters of the energy storage devices based on the net load of all the producers at time slot t, the maximum charging power of all the producer energy storage devices, and the charging power of the energy storage devices of a single producer i, further comprises:

when the net load is a positive value, the discharge power of the energy storage device in the community microgrid needs to meet the following conditions:

6. the method of claim 1, further comprising:

establishing a community microgrid producer and consumer nonlinear planning production and sales mathematical model with energy storage equipment constraint conditions according to net loads at the connection point of the community microgrid and the main network, actual energy storage equipment charging and discharging power at a time slot t-24, community microgrid P2P power transaction electricity price and energy storage equipment conditions of community microgrid users;

s.t.

s.t.

wherein t-24 refers to a time slot 24 hours before time slot t;the net load at the connecting point of the community micro-grid and the main grid at the time slot t-24 is obtained by historical actual measurement; NB means the number of producers;andcharging and discharging power of the actual energy storage equipment at the time slot t-24, wherein the two parameter values are obtained in a second stage based on a rule control strategy;the sum of the community energy demand and the PV power generation amount (no energy storage equipment part) at the time slot t-24; lambda [ alpha ]_buy,tThe price of electric energy bought by the community microgrid at the time slot t is referred to; lambda [ alpha ]_sell,tThe price of electric energy sold by the community microgrid at the time slot t is referred to;

calculating a charge and discharge control time table of the energy storage equipment according to the lowest cost model;

correspondingly, the determining the control parameters of the energy storage device in the community microgrid according to the net load includes:

and determining control parameters of energy storage equipment in the community microgrid according to the net load and the charge-discharge control time table.

7. The method of claim 6, further comprising:

and taking the average value of the charge and discharge power of the energy storage device in the previous period as one constraint condition of the next half hour optimization calculation.

8. The utility model provides an energy storage equipment controlling means based on community microgrid electric energy transaction which characterized in that includes:

the measuring module is used for measuring the net load of a connection point of the community microgrid and the main power grid;

the determining module is used for determining control parameters of energy storage equipment in the community microgrid according to the net load;

the transmitting module is used for transmitting the control parameters of the energy storage equipment to an energy storage equipment controller so that the energy storage equipment can be charged and discharged according to the control parameters;

the determining module includes:

the judging unit is used for judging whether the energy storage equipment is in a charging or discharging state according to the net load;

the parameter determining unit is used for determining the charging parameters of the energy storage equipment according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage equipment of all the producers and the consumers and the charging power of the energy storage equipment of a single producer and the consumer i when the energy storage equipment is in a charging state, so that the energy storage equipment is charged by the amount which is in a linear relation with the nominal capacity of the energy storage equipment; and when the energy storage device is in a discharging state, the discharging parameters of the energy storage device are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers i and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is discharged by adopting the amount in a linear relation with the nominal capacity of the energy storage device.

9. The apparatus of claim 8, wherein the parameter determining unit comprises:

the method comprises the following steps: a first calculating subunit, wherein the first calculating unit calculates in the following way:

wherein, theThe charging power of the energy storage equipment in the time slot t is referred to;the discharge power of the energy storage device in time slot t, Np_i ^tFor the net load of the producer i in time slot t,maximum discharge power of energy storage equipment of all producers and consumers in community microgrid, whereinThe maximum discharge power for a single victim i.

10. The apparatus of claim 9, wherein the parameter determining unit further comprises:

the first constraint subunit is configured to, when the payload is a positive value, satisfy the following condition for the charging power of the energy storage device in the community microgrid:

wherein the content of the first and second substances,for the producer i to charge with electric power, Δ P, over time t_BWA bandwidth of a set value for charging (or discharging) the energy storage device.

11. The apparatus of claim 10, wherein the parameter determining unit further comprises:

the second calculating subunit is configured to, when the payload is a negative value, calculate, according to the control parameter that is determined according to the payload, the control parameter of the energy storage device in the community microgrid in the following manner:

the state of charge of the energy storage device,andminimum and maximum allowed SOC.

12. The apparatus of claim 11, wherein the parameter determining unit further comprises:

the second constraint subunit is configured to, when the payload is a negative value, satisfy the following condition for the charging power of the energy storage device in the community microgrid:

13. the apparatus of claim 8, further comprising:

the community micro-grid producer and consumer nonlinear planning production and sales mathematical model establishing module is used for establishing a community micro-grid producer and consumer nonlinear planning production and sales mathematical model with energy storage equipment constraint conditions according to net loads at the connection point of the community micro-grid and the main grid, actual energy storage equipment charging and discharging power at a time slot t-24, community micro-grid P2P power transaction electricity price and energy storage equipment conditions of community micro-grid users;

s.t.

s.t.

wherein t-24 refers to a time slot 24 hours before time slot t;the net load at the connecting point of the community micro-grid and the main grid at the time slot t-24 is obtained by historical actual measurement; NB means the number of producers;andis the actual storage at time slot t-24Enabling device charging and discharging power, the two parameter values being obtained in a second phase based on a rule-based control strategy;the sum of the community energy demand and the PV power generation amount (no energy storage equipment part) at the time slot t-24; lambda [ alpha ]_buy,tThe price of electric energy bought by the community microgrid at the time slot t is referred to; lambda [ alpha ]_sell,tThe price of electric energy sold by the community microgrid at the time slot t is referred to;

the charging and discharging control time schedule calculation module is used for calculating a charging and discharging control time schedule of charging and discharging the energy storage equipment according to the lowest cost model;

accordingly, the determining module includes:

and the determining unit is used for determining the control parameters of the energy storage equipment in the community microgrid according to the net load and the charge-discharge control time table.

14. The apparatus of claim 13, further comprising:

and the substituting calculation module is used for substituting the average value of the charging and discharging power of the energy storage equipment in the previous period as one constraint condition of the optimization calculation in the next half hour.

Technical Field

The invention belongs to the technical field of power equipment control, and particularly relates to an energy storage equipment control method and device based on community microgrid electric energy transaction.

Background

In recent years, a large number of distributed power sources (such as roof photovoltaic and the like) are connected to a community microgrid, and a plurality of energy consumers have local electric energy production capacity and gradually change into production consumers (consumers of production and consumption), namely, double identities of the electric energy producer and the consumers are considered. A common connection point exists between the microgrid and the distribution grid. The power interaction at the connection point reflects the sum of the net loads of multiple producers and consumers within the microgrid. Through the cooperation between producers and consumers, the surplus electric energy of one energy producer in the community microgrid can be utilized by another energy consumer, the random fluctuation of distributed power sources and loads of producers and consumers in the microgrid can be balanced locally, the power disturbance to the power distribution network is effectively avoided, and the energy consumption cost can be remarkably reduced.

At present, a P2P power transaction optimization model suitable for smart homes can be adopted to centrally control all devices so as to reduce the energy cost of a micro-grid community and each individual consumer. The method regards the cloud controller as a third-party entity, a central processing unit is needed for collecting and processing all family information, and intensive communication facility support is needed for control from a third-party entity control center to each producer and consumer. However, the inventors have found the following technical problems through creative work: the existing control strategies need to establish two-way data communication from producers and consumers to a network platform or a third-party entity, and the technical difficulty and cost of newly building or modifying a community microgrid to realize P2P power transaction are increased.

Disclosure of Invention

In view of this, the present invention aims to provide an energy storage device control method and apparatus based on community microgrid electric energy transaction, so as to solve the technical problem that in the prior art, a large amount of data information is required for a microgrid community to control an energy storage device for cost reduction.

In order to achieve the purpose, the technical scheme of the invention is realized as follows:

on one hand, the embodiment of the invention provides an energy storage device control method based on community microgrid electric energy transaction, which comprises the following steps:

measuring net loads of connection points of the community micro-grid and the main grid;

determining control parameters of energy storage equipment in the community microgrid according to the net load;

sending the control parameters of the energy storage equipment to an energy storage equipment controller so that the energy storage equipment can be charged and discharged according to the control parameters;

the determining of the control parameters of the energy storage device in the community microgrid according to the net load comprises the following steps:

judging whether the energy storage equipment is in a charging or discharging state according to the net load;

when the energy storage device is in a charging state, determining charging parameters of the energy storage device according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is charged by an amount which is in a linear relation with the nominal capacity of the energy storage device; and when the energy storage device is in a discharging state, the discharging parameters of the energy storage device are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers i and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is discharged by adopting the amount in a linear relation with the nominal capacity of the energy storage device.

Further, the charging parameters of the energy storage devices are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the charging power of the energy storage devices of the single producer and the consumers i, and are calculated in the following way:

wherein, theThe charging power of the energy storage equipment in the time slot t is referred to;refers to the discharge power of the energy storage device in time slot t, theFor the net load of the producer i in time slot t,maximum discharge power of energy storage equipment of all producers and consumers in community microgrid, whereinThe maximum discharge power for a single victim i.

Further, the determining the charging parameters of the energy storage devices according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of all the producer and the charging power of the energy storage devices of the single producer and the consumer i further includes:

when the net load is a positive value, the charging power of the energy storage equipment in the community microgrid needs to meet the following conditions:

wherein the content of the first and second substances,for the producer i to charge with electric power, Δ P, over time t_BWA bandwidth of a set value for charging (or discharging) the energy storage device.

Further, the discharge parameters of the energy storage devices are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging powers of all the producer and the charging powers of the energy storage devices of the single producer and the consumer i, and are calculated by the following method:

the SOC is the state of charge of the energy storage device,andminimum and maximum allowed SOC.

Further, the determining the discharge parameters of the energy storage devices according to the net loads of all the producers and the consumers in the time slot t, the maximum charging powers of all the producer and the charging powers of the energy storage devices of the single producer and the consumer i further comprises:

when the net load is a positive value, the discharge power of the energy storage device in the community microgrid needs to meet the following conditions:

further, the method further comprises:

establishing a community microgrid producer and consumer nonlinear planning production and sales mathematical model with energy storage equipment constraint conditions according to net loads at the connection point of the community microgrid and the main network, actual energy storage equipment charging and discharging power at a time slot t-24, community microgrid P2P power transaction electricity price and energy storage equipment conditions of community microgrid users;

s.t.

s.t.

wherein t-24 refers to a time slot 24 hours before time slot t;the net load at the connecting point of the community micro-grid and the main grid at the time slot t-24 is obtained by historical actual measurement; NB means the number of producers;andcharging and discharging power of the actual energy storage equipment at the time slot t-24, wherein the two parameter values are obtained in a second stage based on a rule control strategy;the sum of the community energy demand and the PV power generation amount (no energy storage equipment part) at the time slot t-24; lambda [ alpha ]_buy,tThe price of electric energy bought by the community microgrid at the time slot t is referred to; lambda [ alpha ]_sell,tThe price of electric energy sold by the community microgrid at the time slot t is referred to;

calculating a charge and discharge control time table of the energy storage equipment according to the lowest cost model;

correspondingly, the determining the control parameters of the energy storage device in the community microgrid according to the net load includes:

and determining control parameters of energy storage equipment in the community microgrid according to the net load and the charge-discharge control time table.

Still further, the method further comprises:

and taking the average value of the charge and discharge power of the energy storage device in the previous period as one constraint condition of the next half hour optimization calculation.

On the other hand, an embodiment of the present invention further provides an energy storage device control apparatus based on community microgrid electric energy transaction, including:

the measuring module is used for measuring the net load of a connection point of the community microgrid and the main power grid;

the determining module is used for determining control parameters of energy storage equipment in the community microgrid according to the net load;

the transmitting module is used for transmitting the control parameters of the energy storage equipment to an energy storage equipment controller so that the energy storage equipment can be charged and discharged according to the control parameters;

the determining module includes:

the judging unit is used for judging whether the energy storage equipment is in a charging or discharging state according to the net load;

the parameter determining unit is used for determining the charging parameters of the energy storage equipment according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage equipment of all the producers and the consumers and the charging power of the energy storage equipment of a single producer and the consumer i when the energy storage equipment is in a charging state, so that the energy storage equipment is charged by the amount which is in a linear relation with the nominal capacity of the energy storage equipment; and when the energy storage device is in a discharging state, the discharging parameters of the energy storage device are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers i and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is discharged by adopting the amount in a linear relation with the nominal capacity of the energy storage device.

Further, the parameter determination unit includes:

the method comprises the following steps: a first calculating subunit, wherein the first calculating unit calculates in the following way:

wherein, theThe charging power of the energy storage equipment in the time slot t is referred to;refers to the discharge power of the energy storage device in time slot t, theFor the net load of the producer i in time slot t,maximum discharge power of energy storage equipment of all producers and consumers in community microgrid, whereinThe maximum discharge power for a single victim i.

Further, the parameter determining unit further includes:

the first constraint subunit is configured to, when the payload is a positive value, satisfy the following condition for the charging power of the energy storage device in the community microgrid:

wherein the content of the first and second substances,for the producer i to charge with electric power, Δ P, over time t_BWA bandwidth of a set value for charging (or discharging) the energy storage device.

Further, the parameter determining unit further includes a second calculating subunit, and when the net load is a negative value, the parameter determining unit determines the control parameter of the energy storage device in the community microgrid according to the net load, and calculates in the following manner:

the SOC is the state of charge of the energy storage device,andminimum and maximum allowed SOC.

Further, the parameter determining unit further includes:

the second constraint subunit is configured to, when the payload is a negative value, satisfy the following condition for the charging power of the energy storage device in the community microgrid:

further, the apparatus further comprises:

the community micro-grid producer and consumer nonlinear planning production and sales mathematical model establishing module is used for establishing a community micro-grid producer and consumer nonlinear planning production and sales mathematical model with energy storage equipment constraint conditions according to net loads at the connection point of the community micro-grid and the main grid, actual energy storage equipment charging and discharging power at a time slot t-24, community micro-grid P2P power transaction electricity price and energy storage equipment conditions of community micro-grid users;

s.t.

s.t.

wherein t-24 refers to a time slot 24 hours before time slot t;the net load at the connecting point of the community micro-grid and the main grid at the time slot t-24 is obtained by historical actual measurement; NB means the number of producers;andcharging and discharging power of the actual energy storage equipment at the time slot t-24, wherein the two parameter values are obtained in a second stage based on a rule control strategy;the sum of the community energy demand and the PV power generation amount (no energy storage equipment part) at the time slot t-24; lambda [ alpha ]_buy,tThe price of electric energy bought by the community microgrid at the time slot t is referred to; lambda [ alpha ]_sell,tThe price of electric energy sold by the community microgrid at the time slot t is referred to;

the charging and discharging control time schedule calculation module is used for calculating a charging and discharging control time schedule of charging and discharging the energy storage equipment according to the lowest cost model;

accordingly, the determining module includes:

and the determining unit is used for determining the control parameters of the energy storage equipment in the community microgrid according to the net load and the charge-discharge control time table.

Still further, the apparatus further comprises:

and the substituting calculation module is used for substituting the average value of the charging and discharging power of the energy storage equipment in the previous period as one constraint condition of the optimization calculation in the next half hour.

Compared with the prior art, the energy storage equipment control method and device based on community microgrid electric energy transaction have the following advantages: according to the energy storage equipment control method and device based on community micro-grid electric energy transaction, the real-time net load of the connection point of the community micro-grid and the main power grid is utilized, the control parameters of the energy storage equipment are calculated according to the charge and discharge control model established according to the corresponding parameters of the energy storage equipment in the community micro-grid, and the charge and discharge control is carried out by utilizing the control parameters. Compared with the prior art, the real-time net load communication data of the connection point of the community micro-grid and the main grid is only needed, and the energy storage equipment performance data of community micro-grid producers and consumers are matched, so that the real-time charging and discharging power of the energy storage equipment can be effectively optimized, and the energy storage equipment can be controlled by adopting the quantity which is in linear relation with the nominal capacity of the energy storage equipment. In addition, the cost optimal limiting condition of the instant charging and discharging power can be provided according to the total operation cost, so that the operation cost is reduced, and the data interaction amount required for controlling the energy storage equipment is reduced.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a schematic flowchart of a method for controlling an energy storage device based on community microgrid electric energy transaction according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of an energy storage device control apparatus based on community microgrid electric energy transaction according to an embodiment of the present invention.

Detailed Description

It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.

In the description of the present invention, the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.

The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.

Example one

Fig. 1 is a schematic flow diagram of an energy storage device control method based on community microgrid electric energy transaction according to an embodiment of the present invention, and the energy storage device control method based on community microgrid electric energy transaction provided in this embodiment is suitable for electric energy transaction between a community microgrid and an external network, and the energy storage devices of producers and consumers in the community microgrid are controlled through less communication data, so that the maximum utilization of the performance of the energy storage devices is realized. The energy storage equipment control method based on community microgrid electric energy transaction can be realized by an energy storage equipment control device based on community microgrid electric energy transaction, and the device can be realized in a software and/or hardware mode. Referring to fig. 1, the energy storage device control method based on community microgrid electric energy transaction may include:

and S110, measuring net loads of connection points of the community micro-grid and the main grid.

In the embodiment, the community microgrid can perform electric energy interaction with a main power grid, and can sell electricity to the main power grid under the condition that the electric energy of the community microgrid is sufficient; under the condition of electric energy shortage of the community micro-grid, electricity is purchased from the main power grid. The net load of the connection point of the community microgrid and the main power grid can be measured by using the existing current measuring tool. To determine what state is and the corresponding electrical energy value.

And S120, determining control parameters of energy storage equipment in the community microgrid according to the net load.

And adjusting the charging and discharging set values of the energy storage devices according to the real-time measured net load value at the joint of the community microgrid and the main network. The rule is as follows: when the community micro-grid has residual generating power, the producer and the consumer charge the energy storage equipment according to the quantity which is in a linear relation with the nominal capacity of the energy storage equipment; on the contrary, when the PV power generation power of the community microgrid is not enough to meet the power demand, the producer and the consumer discharge the energy storage equipment according to the quantity which is in a linear relation with the nominal capacity of the energy storage equipment. Based on the above rules, each of the deproductor energy storage devices has the same ratio of charging (discharging) power to the nominal capacity of its energy storage device. And the controller of each of the energy storage devices of the victim should receive the same charge (discharge) control signal. This means that the SOC of all the energy storage devices of the victims should be approximately the same. In fact, due to the difference in the aging degree of the energy storage devices and the inverter, some energy storage devices may reach their maximum or minimum allowable energy storage device State of Charge (SOC) values earlier, but this does not affect the control strategy, since the issuance of the control signal depends on the real-time measurement values of the community microgrid and the main grid connection point. The energy storage device controller only receives control signals from the community micro-grid management system, and does not consider the net load of the producer and the consumer. For example, the energy storage device of a given producer may be discharged when the producer has surplus generated power, because its neighbors in the community microgrid may need and consume that portion of the generated energy.

Optionally, the determining the control parameter of the energy storage device in the community microgrid according to the net load may include: judging whether the energy storage equipment is in a charging or discharging state according to the net load; when the energy storage device is in a charging state, determining charging parameters of the energy storage device according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is charged by an amount which is in a linear relation with the nominal capacity of the energy storage device; and when the energy storage device is in a discharging state, the discharging parameters of the energy storage device are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers i and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is discharged by adopting the amount in a linear relation with the nominal capacity of the energy storage device.

Specifically, the determining the control parameter of the energy storage device in the community microgrid according to the net load includes:

the following calculation is adopted:

wherein, theThe charging power of the energy storage equipment in the time slot t is referred to;refers to the discharge power of the energy storage device in time slot t, theFor the net load of the producer i in time slot t,maximum charge/discharge power of energy storage equipment for all producers and consumers in community microgrid, whereinThe maximum charge/discharge power for a single victim i.

When the net load is a positive value, the charging power of the energy storage equipment in the community microgrid needs to meet the following conditions:

wherein the content of the first and second substances,for the producer i to charge with electric power, Δ P, over time t_BWA bandwidth of a set value for charging (or discharging) the energy storage device.

In particular, the net load at the connection of the community microgrid to the main grid can be measured in real time (i.e., the net load is measured at the connection of the community microgrid to the main grid) When the total PV generation of the community is higher than the total load (i.e., total PV generation of the community is higher than the total load)) And when the SOC is lower than the maximum allowable SOC, distributing the residual PV power generation power to all the energy storage equipment; once its SOC reaches SOC_maxThe remaining PV generated power is fed into the grid.

When the total PV generated power of the community is less than the total load (i.e., the total load)) When the SOC is higher than the minimum allowable SOC, the load power required by the community is discharged and supplied through all the energy storage devices; when the SOC is reduced to the SOC_minAt the same time, the load power required by the community is supplied by the main grid. The charging (discharging) power is simultaneously constrained by the actual charging (discharging) power magnitude of the inverter.

Correspondingly, when the net load is a negative value, the control parameter for determining the energy storage device in the community microgrid according to the net load is calculated in the following mode:

the SOC is the state of charge of the energy storage device,andminimum and maximum allowed SOC;

and the discharge power of the energy storage equipment in the community microgrid needs to meet the following conditions:

by means of the method, the control parameters of the energy storage equipment in the community microgrid can be determined according to the electric energy net load between the community microgrid and the main power grid. The power disturbance to the power distribution network is avoided, and meanwhile, the energy consumption cost is obviously reduced.

In a preferred implementation manner of this embodiment, the method may further include the following steps: charging and discharging power of the energy storage equipment at a time slot t-24 according to net load at a connection point of the micro-grid and the main grid of the community all day; the method comprises the steps of establishing a community microgrid P2P power transaction electricity price, energy storage device conditions of community microgrid users, and establishing a community microgrid producer and consumer nonlinear programming production and sales volume mathematical model with energy storage device constraint conditions;

s.t.

s.t.

wherein t-24 refers to a time slot 24 hours before time slot t;the net load at the connection point of the community micro-grid and the main grid at the time slot t-24 is the actual value of the net load according to the historyObtaining the measurement; NB means the number of producers;andcharging and discharging power of the actual energy storage equipment at the time slot t-24, wherein the two parameter values are obtained in a second stage based on a rule control strategy;the sum of the community energy demand and the PV power generation amount (no energy storage equipment part) at the time slot t-24; lambda [ alpha ]_buy,tThe price of electric energy bought by the community microgrid at the time slot t is referred to; lambda [ alpha ]_sell,tThe price of electric energy sold by the community microgrid at the time slot t is referred to;

calculating the constraint condition of charging and discharging of the energy storage equipment according to the lowest cost model;

correspondingly, the control parameters of the energy storage device in the community microgrid can be determined according to the net load, and the method specifically comprises the following steps: and determining control parameters of energy storage equipment in the community microgrid according to the net load under the condition of meeting the charge and discharge constraint conditions.

In particular, although the method provided above considers the electric energy interaction between the real-time community microgrid and the main power grid, as for the community microgrid, it should ensure the maximum daily gain. Particularly in situations where the price of electricity varies somewhat from time to time of day. Therefore, in this embodiment, a non-linear programming production and sales mathematical model of the community microgrid producers and consumers is first established, from 0 to 24 hours a day. Specifically, the charging and discharging power of the energy storage device can be actually charged and discharged at a time slot t-24 according to the net load at the connection point of the micro grid and the main grid in the community all day; the community microgrid P2P is used for trading the electricity price and the energy storage equipment condition of community microgrid users.

s.t.

And is also constrained by the following conditions:

s.t.

wherein t-24 refers to a time slot 24 hours before time slot t;the net load at the connecting point of the community micro-grid and the main grid at the time slot t-24 is obtained by historical actual measurement; NB means the number of producers;andcharging and discharging power of the actual energy storage equipment at the time slot t-24, wherein the two parameter values are obtained in a second stage based on a rule control strategy;the sum of the community energy demand and the PV power generation amount (no energy storage equipment part) at the time slot t-24; lambda [ alpha ]_buy,tThe price of electric energy bought by the community microgrid at the time slot t is referred to; lambda [ alpha ]_sell,tThe price of the electric energy sold by the community microgrid at the time slot t is referred to.

When in useThe micro-grid in the community acquires electric energy from the main grid at the time slot t, and the electricity price is positive; when in useAnd time, the micro-grid in the community sells electric energy to the main grid at the time slot t, which is equivalent to negative electricity price.

The optimal acquisition schedule for charging and discharging the energy storage device within the time window T is given by the fact that the PV power generation and the energy demand are the same for the next 24 hours from the time slot T as for the previous day. Lambda [ alpha ]_grid,tThe following constraints are met: when the energy demand of the community is higher than the generated energy in the community, lambda_grid,tEqual to the price of electricity (lambda) to buy electricity from the grid_buy,t) (ii) a When the energy demand of the community is lower than the generated energy in the community, lambda_grid,tEqual to the selling price (lambda) of electricity sold to the grid_sell,t)。And (4) representing an optimal time table of charging/discharging power of the ith energy storage device of the birth and consumption person as a decision variable. When in useWhen, indicating that the energy storage device is discharging; when in useAnd, time, indicates that the energy storage device is charging. Furthermore, the charge/discharge power is also constrained by the actual charge/discharge power of the inverter, i.e. the following constraints:

is the nominal capacity of the energy storage device. During actual operation, the energy storage device SOC is usually limited to a certain range, and the charging and discharging power is constrained by the magnitude of the inverter power, as shown in the following equation:

in the formula:andminimum and maximum allowed SOC;andis the maximum charge/discharge power. In this embodiment, the energy storage device is a lithium ion battery.

Accordingly, these constraints can be expressed as:

s.t.

furthermore, considering the price of electricity purchased from and sold to the grid, the objective function can also be expressed as:

the target function can be simplified by removing the absolute value calculation, and can be converted into the following formula:

the constraint conditions added by the above formula are:

m_i·n_i＝0

m_i≥0,n_i≥0,i＝1,...,T。

by using the formula, the total cost of the community microgrid can be set to be 0 or the maximum possible sales income in an iterative calculation mode, and iterative calculation is performed according to the total cost until the constraint condition of the lowest cost model is met. And under the condition that the constraint condition of the lowest cost model is satisfied, determining the lowest cost or the maximum benefit, determining the charge-discharge power ranges of the energy storage devices of all the producers and consumers at different moments, and taking the charge-discharge power ranges as calculation conditions. Further, 24 hours in the whole day can be divided into a plurality of time periods, and the optimized energy storage device charge and discharge control time schedule is obtained through calculation. And determining control parameters of the energy storage equipment in the community microgrid according to the net load and the energy storage equipment charge-discharge control timetable.

In addition, the energy equipment charging and discharging control time table obtained by the non-linear planning output and sales mathematical model of community microgrid producers and consumers can be used as a calculation condition to calculate the process of calculating the control parameters of the energy storage equipment in the community microgrid. Meanwhile, the average value of the charge and discharge power of the energy storage device in each period obtained by calculating the calculated control parameters can be brought into the non-linear programming production and sales mathematical model of the community microgrid producer and consumer in the next period. In particular to a mathematical model for the non-linear planning of production and sales of community microgrid producers and consumersAndthe actual battery charge and discharge power at time slot t-24 is provided. By means of the method, the whole calculation process can approach to the actual situation, and the energy storage equipment of community micro-grid production and marketing people can be controlled more accurately.

And S130, sending the control parameters of the energy storage equipment to an energy storage equipment controller so that the energy storage equipment can be charged and discharged according to the control parameters.

And the local area network or other networks can be used for sending the control parameters to the energy storage device controller of each producer and seller, and then the charge and discharge of each energy storage device are controlled respectively according to the control parameters.

According to the embodiment of the invention, the real-time net load of the connection point of the community micro-grid and the main power grid is utilized, the control parameters of the energy storage equipment are calculated according to the charge and discharge control model established according to the corresponding parameters of the energy storage equipment in the community micro-grid, and the charge and discharge control is carried out by utilizing the control parameters. Compared with the prior art, the real-time net load communication data of the community micro-grid and the main power grid connection point is only needed, the energy storage equipment performance data of community micro-grid producers and consumers are matched, the real-time charge and discharge power of the energy storage equipment can be effectively optimized, the cost optimal limiting condition of the real-time charge and discharge power can be provided according to the total operation cost, and the data interaction quantity required by the energy storage equipment is reduced while the operation cost is reduced.

Example two

Fig. 2 is a schematic structural diagram of an energy storage device control apparatus based on community microgrid electric energy transaction provided in an embodiment of the present invention, and referring to fig. 2, the energy storage device control apparatus based on community microgrid electric energy transaction includes:

the measurement module 210 is configured to measure a net load of a connection point between the community microgrid and the main grid;

the determining module 220 is configured to determine a control parameter of an energy storage device in the community microgrid according to the payload;

the sending module 230 is configured to send the control parameter of the energy storage device to an energy storage device controller, so that the energy storage device performs charging and discharging according to the control parameter;

the determining module includes:

the judging unit is used for judging whether the energy storage equipment is in a charging or discharging state according to the net load;

the parameter determining unit is used for determining the charging parameters of the energy storage equipment according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage equipment of all the producers and the consumers and the charging power of the energy storage equipment of a single producer and the consumer i when the energy storage equipment is in a charging state, so that the energy storage equipment is charged by the amount which is in a linear relation with the nominal capacity of the energy storage equipment; and when the energy storage device is in a discharging state, the discharging parameters of the energy storage device are determined according to the net loads of all the producers and the consumers in the time slot t, the maximum charging power of the energy storage devices of all the producers and the consumers i and the charging power of the energy storage device of a single producer and consumer i, so that the energy storage device is discharged by adopting the amount in a linear relation with the nominal capacity of the energy storage device.

According to the energy storage equipment control device based on community microgrid electric energy transaction, the real-time net load of the connection point of the community microgrid and the main power grid is utilized, the control parameters of the energy storage equipment are calculated according to the charge-discharge control model established according to the corresponding parameters of the energy storage equipment in the community microgrid, and the charge-discharge control is carried out by utilizing the control parameters. Compared with the prior art, the real-time net load communication data of the community micro-grid and the main power grid connection point is only needed, the energy storage equipment performance data of community micro-grid producers and consumers are matched, the real-time charge and discharge power of the energy storage equipment can be effectively optimized, the cost optimal limiting condition of the real-time charge and discharge power can be provided according to the total operation cost, and the data interaction quantity required by the energy storage equipment is reduced while the operation cost is reduced.

On the basis of the above embodiment, the parameter determining unit includes:

a first calculating subunit, wherein the first calculating unit calculates in the following way:

wherein, theThe charging power of the energy storage equipment in the time slot t is referred to;refers to the discharge power of the energy storage device in time slot t, theFor the net load of the producer i in time slot t,maximum discharge power of energy storage equipment of all producers and consumers in community microgrid, whereinThe maximum discharge power for a single victim i.

On the basis of the above embodiment, the parameter determining unit further includes:

the first constraint subunit is configured to, when the payload is a positive value, satisfy the following condition for the charging power of the energy storage device in the community microgrid:

wherein the content of the first and second substances,for the producer i to charge with electric power, Δ P, over time t_BWA bandwidth of a set value for charging (or discharging) the energy storage device.

On the basis of the above embodiment, the parameter determining unit further includes:

the second calculating subunit is configured to, when the payload is a negative value, calculate, according to the control parameter that is determined according to the payload, the control parameter of the energy storage device in the community microgrid in the following manner:

the SOC is the state of charge of the energy storage device,andminimum and maximum allowed SOC.

On the basis of the above embodiment, the parameter determining unit further includes:

the second constraint subunit is configured to, when the payload is a negative value, satisfy the following condition for the charging power of the energy storage device in the community microgrid:

on the basis of the above embodiment, the apparatus further includes:

the community micro-grid producer and consumer nonlinear planning production and sales mathematical model establishing module is used for establishing a community micro-grid producer and consumer nonlinear planning production and sales mathematical model with energy storage equipment constraint conditions according to net loads at the connection point of the community micro-grid and the main grid, actual energy storage equipment charging and discharging power at a time slot t-24, community micro-grid P2P power transaction electricity price and energy storage equipment conditions of community micro-grid users;

s.t.

s.t.

wherein t-24 refers to a time slot 24 hours before time slot t;the net load at the connecting point of the community micro-grid and the main grid at the time slot t-24 is obtained by historical actual measurement; NB means the number of producers;andcharging and discharging power of the actual energy storage equipment at the time slot t-24, wherein the two parameter values are obtained in a second stage based on a rule control strategy;the sum of the community energy demand and the PV power generation amount (no energy storage equipment part) at the time slot t-24; lambda [ alpha ]_buy,tTime slot t-community microgrid buyingThe price of the electrical energy; lambda [ alpha ]_sell,tThe price of electric energy sold by the community microgrid at the time slot t is referred to;

the charging and discharging control time schedule calculation module is used for calculating a charging and discharging control time schedule of charging and discharging the energy storage equipment according to the lowest cost model;

accordingly, the determining module includes:

and the determining unit is used for determining the control parameters of the energy storage equipment in the community microgrid according to the net load and the charge-discharge control time table.

On the basis of the above embodiment, the apparatus further includes:

and the substituting calculation module is used for substituting the average value of the charging and discharging power of the energy storage equipment in the previous period as one constraint condition of the optimization calculation in the next half hour.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.