阅读说明：本技术 一种新能源发电功率分配优化方法及装置 (New energy power generation power distribution optimization method and device ) 是由 任冲 柯贤波 牛拴保 王吉利 霍超 王智伟 张钢 卫琳 魏平 程林 赵荣臻 王 于 2021-07-14 设计创作，主要内容包括：本发明涉及新能源发电控制技术领域,具体提供了一种新能源发电功率分配优化方法及装置,旨在解决传统短路比指标无法反映新能源多场站间交互作用对系统电压强度影响,且无法有效表征各新能源场站发电功率变化对系统稳定性的影响的技术问题。本发明提供的新能源发电功率分配优化方法及装置,利用待优化新能源场站中各新能源场站的综合灵敏度调节各新能源场站的发电功率,能够得到满足系统安全稳定运行要求下的新能源发电功率最优分配控制方案,以实现在确保安全稳定基础上的可再生能源的充分利用。(The invention relates to the technical field of new energy power generation control, and particularly provides a new energy power generation power distribution optimization method and device, aiming at solving the technical problems that the traditional short-circuit ratio index cannot reflect the influence of interaction among new energy field stations on the system voltage intensity, and cannot effectively represent the influence of the power generation power change of each new energy field station on the system stability. According to the new energy power generation power distribution optimization method and device, the power generation power of each new energy station is adjusted by using the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, and the optimal distribution control scheme of the new energy power generation power under the condition that the system safety and stability operation requirements are met can be obtained, so that the renewable energy can be fully utilized on the basis of ensuring the safety and stability.)

1. A new energy power generation power distribution optimization method is characterized by comprising the following steps:

step 1, acquiring the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, selecting the new energy station with the minimum absolute value of the comprehensive sensitivity, judging whether the output of the new energy station reaches the maximum output, if so, removing the new energy station from the new energy stations to be optimized and re-executing the step 1, and otherwise, turning to the step 2;

step 2, increasing the generated power of the new energy station with the minimum comprehensive sensitivity absolute value by one adjustment step;

step 3, calculating the short circuit ratio of each new energy station in the new energy stations to be optimized, and obtaining the difference value between the minimum short circuit ratio value and a preset short circuit ratio reference value;

and 4, if the difference value is not greater than the preset deviation value or the number of times of optimization iteration is reached, ending the operation, otherwise, returning to the step 1.

2. The method of claim 1, wherein the integrated sensitivity of each new energy station is calculated as follows:

in the above formula, D_c.iIs the comprehensive sensitivity of the ith new energy station, alpha is the weight coefficient of the average sensitivity of the system, D_sys.iThe average sensitivity of all station short-circuit ratios of the system to the power of the ith new energy station is taken as the weight of the sensitivity of the short-circuit ratio of the lowest new energy stationThe weight coefficient of the light beam is calculated,the sensitivity of the short circuit ratio of the lowest new energy station to the ith new energy station is set as i belongs to [1, n ]]And n is the total number of the new energy stations in the new energy stations to be optimized.

3. The method of claim 2, wherein the average sensitivity of all station short circuit ratios of the system to the ith new energy station power is calculated as follows:

in the above formula, P_reiActive power, M, injected for power plant grid side access point/station grid-connected point in the ith new energy station_iThe short circuit ratio of the ith new energy station.

4. The method of claim 3, wherein the short circuit ratio of the ith new energy station is calculated as follows:

in the above formula, S_aciThree-phase short-circuit capacity, Z, for injection of power plant grid side access point/station grid-connected point in the ith new energy station_ijAnd converting the power of the ith new energy station into the power of the jth new energy station.

5. The method according to claim 4, wherein the power conversion factor of the ith new energy station and the jth new energy station is calculated as follows:

in the above formula, Z_eqijIs the equivalent impedance Z of an alternating current power grid between grid-connected buses of the ith new energy station and the jth new energy station_eqiiEquivalent impedance U of an alternating current power grid at the grid-connected bus of the ith new energy station_iIs the grid-connected bus voltage, U, of the ith new energy station_jThe voltage of the grid-connected bus of the jth new energy station.

6. The method of claim 5, wherein the following is calculated

7. A new energy power generation power distribution optimization device, characterized in that the device comprises:

the first judgment module is used for acquiring the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, selecting the new energy station with the minimum absolute value of the comprehensive sensitivity, judging whether the output of the new energy station reaches the maximum output, if so, removing the new energy station from the new energy stations to be optimized and executing the first judgment module again, and if not, turning to the optimization module;

the optimization module is used for increasing the generated power of the new energy station with the minimum comprehensive sensitivity absolute value by one adjustment step length;

the calculation module is used for calculating the short circuit ratio of each new energy station in the new energy stations to be optimized and obtaining the difference value between the minimum short circuit ratio value and a preset short circuit ratio reference value;

and the second judgment module is used for ending the operation if the difference value is not greater than the preset deviation value or the number of times of optimization iteration is reached, or returning to the first judgment module.

8. The apparatus of claim 7, wherein the integrated sensitivity of each new energy station is calculated as follows:

in the above formula, D_c.iIs the comprehensive sensitivity of the ith new energy station, alpha is the weight coefficient of the average sensitivity of the system, D_sys.iThe average sensitivity of all station short-circuit ratios of the system to the power of the ith new energy station is taken as the weight coefficient of the sensitivity of the short-circuit ratio of the lowest new energy station,the sensitivity of the short circuit ratio of the lowest new energy station to the ith new energy station is set as i belongs to [1, n ]]And n is the total number of the new energy stations in the new energy stations to be optimized.

9. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the new energy power distribution optimization method according to any one of claims 1 to 6.

10. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the new energy generation power distribution optimization method according to any one of claims 1 to 6 when the program is run.

Technical Field

The invention relates to the field of new energy power generation control, in particular to a new energy power generation power distribution optimization method and device.

Background

Due to the limitation of resource distribution, most wind and light resource enrichment areas are far away from conventional power sources and load centers, large-scale wind and power photovoltaics are usually connected to the tail end of a power grid, and in the areas, the local power grid strength is weaker than the new energy access amount. Meanwhile, the new energy unit is generally incorporated into the power grid through power electronic equipment, and the adjustment supporting capability is weak, so that the problems that transient overvoltage, broadband oscillation and the like are easy to occur when local new energy is connected into the power grid are caused, and the new energy unit becomes an important factor for restricting the new energy accepting capability and influencing the safe and stable operation of the power grid. With the proposal of the 'double-carbon' target, the development of new energy is further accelerated, and the problem is gradually a key problem influencing the green development of the power grid.

In order to solve the system stability problems of transient overvoltage, broadband oscillation and the like, the current mainstream method is to explore the influence of the generated power change of a new energy unit on each parameter of the system so as to optimize a scheme of a high-proportion new energy access system. In order to avoid static stability problems such as voltage out-of-limits, the generated power limit is determined by quantitatively calculating the sensitivity of the output of each unit to the voltage rise. In addition, the academia has also analyzed the impact of generated power on system reliability and power economy. The literature [ networking level optimization for DG connectivity action of relay protection devices ] considers the influence of the power generated by different new energy sources on the reliable action of the system relay protection devices, and then calculates the maximum permeability of the system new energy source power generation. The document An analytical method for the finding and the locating of distributed generators in radial systems proposes a new energy location and sizing strategy with the aim of minimizing the system network loss. However, the above researches are mostly directed to static stability, reliability and economy of the power system, and no deep research is conducted on the optimal allocation of the new energy station under the quantitative constraint of the system stability level.

The system stability level can comprehensively reflect each bearing capacity of the power grid to the new energy, and the system stability level is used as a main reference index to evaluate an optimized distribution scheme of a high-proportion new energy centralized access system. In a large-scale new energy centralized grid-connected system, in order to intuitively and effectively measure the voltage intensity of a multi-new energy station access system and quantitatively evaluate the new energy access scale, an expert scholars provides a Short Circuit Ratio (SCR) index. The short-circuit ratio is used as a static analysis method, and provides an important reference basis for planning and operating a power grid by virtue of simplicity and intuition. However, the traditional short circuit ratio index cannot reflect the influence of interaction among the new energy field stations on the voltage intensity of the system, and cannot effectively represent the influence of the generated power change of each new energy field station on the stability of the system.

Disclosure of Invention

In order to overcome the defects, the invention provides a new energy power generation power distribution optimization method and a new energy power distribution optimization device, which solve or at least partially solve the technical problems that the traditional short circuit ratio index cannot reflect the influence of interaction among new energy field stations on the system voltage intensity and cannot effectively represent the influence of the power generation power change of each new energy field station on the system stability.

In a first aspect, a new energy generated power distribution optimization method is provided, and the new energy generated power distribution optimization method includes:

step 1, acquiring the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, selecting the new energy station with the minimum absolute value of the comprehensive sensitivity, judging whether the output of the new energy station reaches the maximum output, if so, removing the new energy station from the new energy stations to be optimized and re-executing the step 1, and otherwise, turning to the step 2;

step 2, increasing the generated power of the new energy station with the minimum comprehensive sensitivity absolute value by one adjustment step;

step 3, calculating the short circuit ratio of each new energy station in the new energy stations to be optimized, and obtaining the difference value between the minimum short circuit ratio value and a preset short circuit ratio reference value;

and 4, if the difference value is not greater than the preset deviation value or the number of times of optimization iteration is reached, ending the operation, otherwise, returning to the step 1.

Preferably, the calculation formula of the comprehensive sensitivity of each new energy station is as follows:

in the above formula, D_c.iIs the comprehensive sensitivity of the ith new energy station, alpha is the weight coefficient of the average sensitivity of the system, D_sys.iThe average sensitivity of all station short-circuit ratios of the system to the power of the ith new energy station is taken as the weight coefficient of the sensitivity of the short-circuit ratio of the lowest new energy station,the sensitivity of the short circuit ratio of the lowest new energy station to the ith new energy station is set as i belongs to [1, n ]]N is in the new energy station to be optimizedTotal number of new energy stations.

Further, the average sensitivity of all station short circuit ratios of the system to the power of the ith new energy station is calculated as follows:

in the above formula, P_reiActive power, M, injected for power plant grid side access point/station grid-connected point in the ith new energy station_iThe short circuit ratio of the ith new energy station.

Further, the calculation formula of the short circuit ratio of the ith new energy station is as follows:

in the above formula, S_aciThree-phase short-circuit capacity, Z, for injection of power plant grid side access point/station grid-connected point in the ith new energy station_ijAnd converting the power of the ith new energy station into the power of the jth new energy station.

Further, the power conversion factor of the ith new energy station and the jth new energy station is calculated by the following formula:

in the above formula, Z_eqijIs the equivalent impedance Z of an alternating current power grid between grid-connected buses of the ith new energy station and the jth new energy station_eqiiEquivalent impedance U of an alternating current power grid at the grid-connected bus of the ith new energy station_iIs the grid-connected bus voltage, U, of the ith new energy station_jThe voltage of the grid-connected bus of the jth new energy station.

Further, it is calculated as follows

In a second aspect, a new energy generated power distribution optimization apparatus is provided, and the new energy generated power distribution optimization apparatus includes:

the first judgment module is used for acquiring the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, selecting the new energy station with the minimum absolute value of the comprehensive sensitivity, judging whether the output of the new energy station reaches the maximum output, if so, removing the new energy station from the new energy stations to be optimized and executing the first judgment module again, and if not, turning to the optimization module;

the optimization module is used for increasing the generated power of the new energy station with the minimum comprehensive sensitivity absolute value by one adjustment step length;

the calculation module is used for calculating the short circuit ratio of each new energy station in the new energy stations to be optimized and obtaining the difference value between the minimum short circuit ratio value and a preset short circuit ratio reference value;

and the second judgment module is used for ending the operation if the difference value is not greater than the preset deviation value or the number of times of optimization iteration is reached, or returning to the first judgment module.

Preferably, the calculation formula of the comprehensive sensitivity of each new energy station is as follows:

in the above formula, D_c.iIs the comprehensive sensitivity of the ith new energy station, alpha is the weight coefficient of the average sensitivity of the system, D_sys.iThe average sensitivity of all station short-circuit ratios of the system to the power of the ith new energy station is taken as the weight coefficient of the sensitivity of the short-circuit ratio of the lowest new energy station,comparing short circuits of the lowest new energy stationSensitivity of i new energy stations, i ∈ [1, n ]]And n is the total number of the new energy stations in the new energy stations to be optimized.

In a third aspect, a storage medium is provided, where the storage medium includes a stored program, and the device on which the storage medium is located is controlled to execute the new energy power distribution optimization method when the program runs.

In a fourth aspect, a processor is provided, where the processor is configured to run a program, where the program is configured to execute the new energy generated power distribution optimization method during running.

One or more technical schemes of the invention at least have one or more of the following beneficial effects:

the invention provides a new energy power generation power distribution optimization method, which comprises the following steps: step 1, acquiring the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, selecting the new energy station with the minimum absolute value of the comprehensive sensitivity, judging whether the output of the new energy station reaches the maximum output, if so, removing the new energy station from the new energy stations to be optimized and re-executing the step 1, and otherwise, turning to the step 2; step 2, increasing the generated power of the new energy station with the minimum comprehensive sensitivity absolute value by one adjustment step; step 3, calculating the short circuit ratio of each new energy station in the new energy stations to be optimized, and obtaining the difference value between the minimum short circuit ratio value and a preset short circuit ratio reference value; and 4, if the difference value is not greater than the preset deviation value or the number of times of optimization iteration is reached, ending the operation, otherwise, returning to the step 1. According to the technical scheme, the quantitative relation between the power grid stability and the new energy capacity after new energy access and the influence of the comprehensive short-circuit ratio sensitivity of the new energy multi-field station on the access capacity of the new energy field station are comprehensively considered, the output of a new energy unit is determined iteratively according to the comprehensive short-circuit ratio sensitivity of the new energy multi-field station, the limit power generation power of the new energy after the short-circuit ratio of the area meets the requirement can be obtained through successive iteration, and meanwhile, the power distribution scheme of the new energy field station can be obtained according to the method. And the actual power system is used for verification, and the result shows that the new energy distribution optimization scheme based on the quantitative evaluation of the system stability level is completely operable. According to the calculation results, the new energy distribution optimization scheme based on the quantitative evaluation of the system stability level can effectively improve the new energy grid-connected scale and the system stability level under disturbance faults, and the rationality of the technical scheme provided by the invention relative to the distribution method according to the installed capacity proportion is demonstrated.

Drawings

FIG. 1 is a schematic flow chart of the main steps of a new energy generation power distribution optimization method according to one embodiment of the present invention;

FIG. 2 is a schematic diagram of an actual grid structure in an XJZD region in the embodiment of the invention;

FIG. 3 is a graph of the unit voltage variation during DC blocking according to an embodiment of the present invention;

FIG. 4 is a graph illustrating an iterative process of short circuit ratio according to an embodiment of the present invention;

fig. 5 is a main block diagram of the new energy power generation distribution optimization apparatus according to an embodiment of the present invention.

Detailed Description

The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The new energy multi-field station short circuit ratio index considers the mutual influence among new energy, can represent the index of the influence degree of the new energy generating power on the stability level of the power system, and through a large amount of simulation analysis, when the new energy multi-field station short circuit ratio is more than 1.5, the new energy enters the stable state of the system.

The method can reasonably formulate a new energy power generation power distribution optimization control scheme according to the sensitivity of the short-circuit ratio of the multiple stations of the new energy unit, realize the maximum-scale grid connection of new energy on the basis of ensuring the short-circuit ratio requirement of the power system and avoiding the problems of transient voltage control and phase-locked synchronous stability, and realize the full utilization of renewable energy.

Referring to fig. 1, fig. 1 is a schematic flow chart of main steps of a new energy power generation power distribution optimization method according to an embodiment of the invention. As shown in fig. 1, the new energy power generation power distribution optimization method in the embodiment of the present invention mainly includes the following steps:

step 1, acquiring the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, selecting the new energy station with the minimum absolute value of the comprehensive sensitivity, judging whether the output of the new energy station reaches the maximum output, if so, removing the new energy station from the new energy stations to be optimized and re-executing the step 1, and otherwise, turning to the step 2;

step 2, increasing the generated power of the new energy station with the minimum comprehensive sensitivity absolute value by one adjustment step;

step 3, calculating the short circuit ratio of each new energy station in the new energy stations to be optimized, and obtaining the difference value between the minimum short circuit ratio value and a preset short circuit ratio reference value;

and 4, if the difference value is not greater than the preset deviation value or the number of times of optimization iteration is reached, ending the operation, otherwise, returning to the step 1.

In order to avoid the short-plate effect, the new energy station with the lowest stability level is firstly unstable along with the increase of the new energy power, and the sensitivity weight coefficient of the new energy station with the lowest stability level is higher than the average stability level sensitivity, in this embodiment, the calculation formula of the comprehensive sensitivity of each new energy station is as follows:

in the above formula, D_c.iIs the comprehensive sensitivity of the ith new energy station, alpha is the weight coefficient of the average sensitivity of the system, D_sys.iThe average sensitivity of all station short-circuit ratios of the system to the power of the ith new energy station is taken as the weight coefficient of the sensitivity of the short-circuit ratio of the lowest new energy station,the sensitivity of the short circuit ratio of the lowest new energy station to the ith new energy station is set as i belongs to [1, n ]]And n is the total number of the new energy stations in the new energy stations to be optimized.

In one embodiment, the average sensitivity of all station short circuit ratios of the system to the ith new energy station power is calculated as follows:

in the above formula, P_reiActive power, M, injected for power plant grid side access point/station grid-connected point in the ith new energy station_iThe short circuit ratio of the ith new energy station.

In an embodiment of the present invention, a calculation formula of the short-circuit ratio of the ith new energy station is as follows:

in the above formula, S_aciThree-phase short-circuit capacity, Z, for injection of power plant grid side access point/station grid-connected point in the ith new energy station_ijAnd converting the power of the ith new energy station into the power of the jth new energy station.

In one embodiment, the power conversion factor between the ith new energy station and the jth new energy station is calculated as follows:

in the above formula, Z_eqijIs the equivalent impedance Z of an alternating current power grid between grid-connected buses of the ith new energy station and the jth new energy station_eqiiEquivalent impedance U of an alternating current power grid at the grid-connected bus of the ith new energy station_iIs the grid-connected bus voltage, U, of the ith new energy station_jThe voltage of the grid-connected bus of the jth new energy station.

In one embodiment, the following is calculated

In order to verify the feasibility and the effectiveness of the method for optimally distributing the generated power of the new energy station with equal short-circuit ratio sensitivity, the method and the equal capacity distribution method are respectively compared, simulated and verified by taking the actual power grid in the XJZD region as an example, as shown in FIG. 2. The XJZD area wind resource is enriched, the installed capacity of the new energy reaches 550 ten thousand kilowatts, the large-scale new energy is boosted step by step from low voltage 690/400V to 750 KV power grid and collected to direct current to be sent out, the wind power is far away from the main grid, the short circuit capacity of the access point in the near area without conventional energy is low, and the transient overvoltage problem is prominent when the direct current in the near area breaks down. In order to avoid the grid disconnection of new energy due to transient overvoltage, when the new energy is distributed according to equal capacity, under the mode that the wind power generation of a near area exceeds 300 ten thousand kilowatts, the transient overvoltage problem of partial fans is disconnected after direct current fault, so that the wind power limit of the near area is only 300 ten thousand kilowatts, and the wind power of the area is severely limited in a strong wind period.

Table 1 shows that the power distribution schemes of the new energy station are compared according to different methods, and it can be known from the table that the new energy grid connection based on the equal sensitivity method reaches 354 ten thousand kilowatts, which is much higher than the new energy grid connection capacity distributed according to the capacity proportion of the equipment.

TABLE 1 comparison of new energy station power allocation schemes according to different methods

Fig. 3 is a graph showing the variation of the unit voltage during dc blocking, wherein the transient overvoltage of the new energy collection station after a dc fault is 1.286p.u. at most when 300 ten thousand kilowatts are distributed according to the capacity proportion of the loading machine. Meanwhile, when 300 ten thousand kilowatts of new energy power generation power is distributed according to the equal sensitivity criterion, the short circuit ratio is as low as 1.26p.u., and the system stability level is improved to a certain extent compared with a scheme of distributing the capacity of the installation machine according to the equal power generation power. Thereby verifying the feasibility and effectiveness of the methods presented herein. In the equal-sensitivity method, the power distribution of the new energy field station is carried out by taking the minimum short-circuit ratio as a target, the distribution capacity is 350 ten thousand kilowatts, and the transient overvoltage of the new energy collection station after the direct current fault is lower than the transient overvoltage distributed according to the capacity ratio of the loader for 300 ten thousand kilowatts, and is 1.273 p.u..

As shown in fig. 4, which is an iterative process of short circuit ratio in the embodiment, it can be known from the figure that, at the same short circuit ratio, the new energy amount accessed based on the system stability level quantitative evaluation method is larger than that accessed based on the conventional method, and the maximum access of the new energy on the basis of ensuring safety and stability is realized.

Based on the same inventive concept, the present invention provides a new energy generated power distribution optimization apparatus, as shown in fig. 5, the new energy generated power distribution optimization apparatus includes:

the first judgment module is used for acquiring the comprehensive sensitivity of each new energy station in the new energy stations to be optimized, selecting the new energy station with the minimum absolute value of the comprehensive sensitivity, judging whether the output of the new energy station reaches the maximum output, if so, removing the new energy station from the new energy stations to be optimized and executing the first judgment module again, and if not, turning to the optimization module;

the optimization module is used for increasing the generated power of the new energy station with the minimum comprehensive sensitivity absolute value by one adjustment step length;

the calculation module is used for calculating the short circuit ratio of each new energy station in the new energy stations to be optimized and obtaining the difference value between the minimum short circuit ratio value and a preset short circuit ratio reference value;

and the second judgment module is used for ending the operation if the difference value is not greater than the preset deviation value or the number of times of optimization iteration is reached, or returning to the first judgment module.

Preferably, the calculation formula of the comprehensive sensitivity of each new energy station is as follows:

in the above formula, D_c.iIs the comprehensive sensitivity of the ith new energy station, alpha is the weight coefficient of the average sensitivity of the system, D_sys.iThe average sensitivity of all station short-circuit ratios of the system to the power of the ith new energy station is taken as the weight coefficient of the sensitivity of the short-circuit ratio of the lowest new energy station,the sensitivity of the short circuit ratio of the lowest new energy station to the ith new energy station is set as i belongs to [1, n ]]And n is the total number of the new energy stations in the new energy stations to be optimized.

Further, the average sensitivity of all station short circuit ratios of the system to the power of the ith new energy station is calculated as follows:

in the above formula, P_reiActive power, M, injected for power plant grid side access point/station grid-connected point in the ith new energy station_iThe short circuit ratio of the ith new energy station.

Further, the calculation formula of the short circuit ratio of the ith new energy station is as follows:

in the above formula, S_aciThree-phase short-circuit capacity, Z, for injection of power plant grid side access point/station grid-connected point in the ith new energy station_ijAnd converting the power of the ith new energy station into the power of the jth new energy station.

Further, the power conversion factor of the ith new energy station and the jth new energy station is calculated by the following formula:

in the above formula, Z_eqijIs the equivalent impedance Z of an alternating current power grid between grid-connected buses of the ith new energy station and the jth new energy station_eqiiEquivalent impedance U of an alternating current power grid at the grid-connected bus of the ith new energy station_iIs the grid-connected bus voltage, U, of the ith new energy station_jThe voltage of the grid-connected bus of the jth new energy station.

Further, it is calculated as follows

Further, the present invention also provides a storage medium, which includes a stored program, wherein when the program runs, the device on which the storage medium is located is controlled to execute the new energy power generation distribution optimization method.

Further, the invention also provides a processor, which is used for running a program, wherein the program runs to execute the new energy power generation power distribution optimization method.

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.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.