Method and device for quick power distribution and collaborative optimization of active support type converter groups

Abstract

The application discloses a kind of active support type converter group quick power distribution and collaborative optimization method and device, comprising: the optimal value of state of charge is calculated according to the efficiency curve and the limit value of state of charge of energy storage converter group;According to the rated power of energy storage converter group, the actual value of state of charge and the predicted value of automatic generation control instruction, the working state of energy storage device is optimized configuration;According to the efficiency curve of energy storage converter group, the optimal value of state of charge and the actual value of automatic generation control instruction, the output power of energy storage converter group is power optimized, and the optimization result is issued as power reference value to each energy storage converter.The rated power of energy storage converter group, the actual value of state of charge and the predicted value of automatic generation control instruction are used in the application, and the working state of energy storage device is optimized configuration, under the condition that energy storage converter group can meet the frequency modulation requirement, improve cycle efficiency, enhance frequency modulation capability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of frequency modulation control of energy storage converter groups, and in particular to a method and device for fast power distribution and collaborative optimization of active support type converter groups. BACKGROUND

[0002] Electrochemical energy storage technology has fast response speed and high response accuracy, and can make the power system change from rigid to flexible, thus showing great potential in frequency modulation. The use of energy storage in frequency modulation can enhance the frequency stability of high-proportion new energy systems, and the large-scale layout and unified regulation of electrochemical energy storage can effectively enhance the new energy consumption capacity of the power system.

[0003] In the literature [“Energy storage primary frequency modulation control strategy considering state of charge recovery” [J]. Power System Automation, 2022, 46(21): 52-61] published by Yan Ganyan et al., a power distribution strategy considering the state of charge of the energy storage converter group is proposed. By controlling the output of the energy storage unit when the SOC is low or high, the frequency modulation capability of the energy storage converter group is improved. However, this strategy only studies the power distribution of the energy storage converter group from the perspective of frequency modulation effect, without considering the economic benefits of the energy storage converter group during frequency modulation.

[0004] In the literature [“Energy storage-unit combined frequency modulation control strategy considering frequency modulation performance evaluation” [J]. Proceedings of the Chinese Electrical Engineering Society, 2021, 41(10): 3383-3391] published by Chen Xuemei et al., a collaborative control strategy for energy storage converter groups is proposed. By distinguishing the output size and frequency modulation time in different evaluation periods, the economic benefits of electrochemical energy storage are improved. However, this strategy only analyzes the economic benefits of energy storage from the perspective of benefits, without considering the impact of high idle loss of energy storage on frequency modulation cost during long-term zero-power scheduling. In actual frequency modulation applications, there may be a long zero-power scheduling process, and this strategy cannot effectively reduce the loss of the system and improve the cycle efficiency of the energy storage. SUMMARY

[0005] In view of the problem that the above strategies do not consider the high energy storage loss during zero-power scheduling, the present application provides a method and device for fast power distribution and collaborative optimization of active support type converter groups. According to the rated power of the energy storage converter group, the actual value of the state of charge, and the predicted value of the automatic generation control instruction, the working state of the energy storage device is optimized and configured. In the case of ensuring that the energy storage converter group can meet the frequency modulation requirements, the cycle efficiency is improved and the frequency modulation capability is enhanced.

[0006] According to a first aspect of an embodiment of the present application, a method for fast power distribution and collaborative optimization of active support type converter groups is provided, comprising:

[0007] S1: calculating the optimal value of state of charge according to the efficiency curve of the energy storage converter group and the limit value of state of charge;

[0008] S2: optimizing the working state of the energy storage device according to the rated power of the energy storage converter group, the actual value of state of charge and the predicted value of automatic generation control instruction, specifically including:

[0009] 2-a) if the predicted value of automatic generation control instruction is greater than or equal to the sum of the rated power of the energy storage converter group, all the energy storage converters work in the load state;

[0010] 2-b) if the predicted value of automatic generation control instruction is less than the sum of the rated power of the energy storage converter group, the energy storage converters are configured to work in the load, standby or shutdown state according to the predicted value of automatic generation control instruction and the size of state of charge;

[0011] S3: power optimization of the energy storage converter group according to the efficiency curve of the energy storage converter group, the optimal value of state of charge and the actual value of automatic generation control instruction, and the optimization result is taken as the power reference value and issued to each energy storage converter.

[0012] Optionally, the optimal value of state of charge is calculated according to the efficiency curve of the energy storage converter group and the limit value of state of charge, specifically including:

[0013] The optimal value of state of charge S is calculated according to the following formula p,i :

[0014]

[0015] Wherein: S max,i , S min,i are the upper limit value and the lower limit value of state of charge of the energy storage converter, η i is the efficiency of the energy storage converter.

[0016] Optionally, the energy storage converters are configured to work in the load, standby and shutdown state according to the predicted value of automatic generation control instruction and the size of state of charge, specifically including:

[0017] The number of energy storage converters working in the load state is calculated according to the maximum absolute value in the predicted value of automatic generation control instruction; if the number of remaining energy storage converters is greater than or equal to 2, except for the energy storage converters determined to work in the load state, 2 energy storage converters are configured to work in the standby state, and the rest are set to the shutdown state; if the number of remaining energy storage converters is less than 2, all the remaining energy storage converters are configured to work in the standby state;

[0018] If the value of the maximum charging power in the predicted value of the automatic generation control instruction is greater than the value of the maximum discharging power, the priority of the energy storage converter working in the load state and the priority of the energy storage converter working in the standby state are determined according to the state of charge from low to high; if the value of the maximum charging power in the predicted value of the automatic generation control instruction is less than or equal to the value of the maximum discharging power, the priority of the energy storage converter working in the load state and the priority of the energy storage converter working in the standby state are determined according to the state of charge from high to low.

[0019] Optionally, when the output power of the energy storage converter group is power-optimized according to the efficiency curve of the energy storage converter group, the optimal value of the state of charge and the actual value of the automatic generation control instruction, the target function of the power optimization is determined according to the following formula:

[0020]

[0021] Wherein, α i is the charging and discharging identifier of the energy storage, S i is the state of charge of the energy storage, I is the number of the energy storage converter group, and t represents the current time.

[0022] Optionally, when the output power of the energy storage converter group is power-optimized according to the efficiency curve of the energy storage converter group, the optimal value of the state of charge and the actual value of the automatic generation control instruction, the constraint condition of the power optimization is determined according to the following formula:

[0023]

[0024] Wherein, P AGC is the actual value of the automatic generation control instruction, P o,i , P N,i is the output power and rated power of the energy storage converter.

[0025] According to a second aspect of the embodiment of the present application, a device for active support type converter group rapid power distribution and collaborative optimization is provided, comprising:

[0026] The calculation module is configured to calculate the optimal value of the state of charge according to the efficiency curve of the energy storage converter group and the limit value of the state of charge.

[0027] The optimization configuration module is configured to optimize the working state of the energy storage device according to the rated power of the energy storage converter group, the actual value of the state of charge and the predicted value of the automatic generation control instruction, and specifically comprises:

[0028] 2-a) if the predicted value of the automatic generation control instruction is greater than or equal to the sum of the rated power of the energy storage converter group, all the energy storage converters work in the load state;

[0029] 2-b) If the predicted value of the automatic generation control instruction is less than the sum of the rated power of the energy storage converter group, the energy storage converter is configured to work in a load, standby or shutdown state according to the predicted value of the automatic generation control instruction and the size of the state of charge;

[0030] The power optimization module is configured to perform power optimization on the output power of the energy storage converter group according to the efficiency curve of the energy storage converter group, the optimal value of the state of charge and the actual value of the automatic generation control instruction, and the optimization result is issued as a power reference value to each energy storage converter.

[0031] According to a third aspect of the embodiments of the present application, an electronic device is provided, comprising:

[0032] one or more processors;

[0033] a memory configured to store one or more programs;

[0034] When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to the first aspect.

[0035] According to a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, which stores computer instructions, and the instructions are executed by a processor to implement the steps of the method according to the first aspect.

[0036] The beneficial effects of the present application are as follows:

[0037] The present application adopts the technical means of pre-configuring the energy storage working state based on the frequency modulation prediction instruction, which overcomes the problem of high energy consumption of energy storage during long-term zero power scheduling, and improves the cycle efficiency of energy storage; The technical means of power optimization according to the target function reflecting the state of charge of energy storage is adopted, which overcomes the problem of high or low state of charge of energy storage in the power distribution process, and improves the frequency modulation capability of energy storage.

[0038] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0039] The drawings incorporated into the specification and forming part of the specification, show embodiments consistent with the present application, and together with the specification, serve to explain the principles of the present application.

[0040] Figure 1 is a flow chart of an active support type converter group fast power distribution and collaborative optimization method according to an exemplary embodiment.

[0041] Figure 2 is an average power distribution strategy simulation result graph according to an exemplary embodiment.

[0042] Figure 3 This is a simulation result diagram of a partial shift strategy according to an exemplary embodiment.

[0043] Figure 4 This is a simulation result diagram of a power optimization strategy according to an exemplary embodiment.

[0044] Figure 5 This is a block diagram illustrating an active-support type converter group fast power distribution and collaborative optimization device according to an exemplary embodiment.

[0045] Figure 6 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0046] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0047] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0048] Figure 1 This is a flowchart illustrating a fast power allocation and collaborative optimization method for an actively supported converter group, according to an exemplary embodiment, such as... Figure 1 As shown, the method may include the following steps:

[0049] S1: Calculate the optimal value of the state of charge based on the efficiency curve of the energy storage converter group and the limit of the state of charge.

[0050] Specifically, the purpose of calculating the optimal state of charge (SOC) is to determine the ideal SOC that maximizes the frequency regulation capability of energy storage during charging and discharging, providing a reference for subsequent power optimization. Using the calculated optimal value as a reference for power optimization can bring the SOC of the energy storage participating in frequency regulation closer to equilibrium, thereby enhancing its frequency regulation capability. The optimal SOC is calculated using the following formula. p,i :

[0051]

[0052] wherein: S max,i , S max,i are upper and lower limit values of the state of charge of the energy storage converter. S max,i 0.9 can be taken, 0.1 can be taken; η i is the efficiency of the energy storage converter, and is calculated according to the following formula:

[0053]

[0054] wherein: a i , b i are proportional coefficients of the efficiency curve, P o,i , P N,i is the output power and rated power of the energy storage converter, and t represents the current time.

[0055] S2: according to the rated power of the energy storage converter group, the actual value of the state of charge, and the predicted value of the automatic generation control instruction, the working state of the energy storage device is optimized and configured, specifically including:

[0056] 2-a) if the predicted value of the automatic generation control instruction is greater than or equal to the sum of the rated power of the energy storage converter group, all the energy storage converters work in the load state;

[0057] Specifically, the output power of the energy storage converter group should follow the automatic generation control instruction as much as possible to meet the frequency regulation requirements of the power grid. If it is not possible to meet the requirements of the power grid, the difference between the output power and the automatic generation control instruction should also be minimized. At this time, all energy storage converters with frequency regulation capability should be in normal working state, i.e. set to load state. This design can reduce the power shortage of energy storage frequency regulation and thus reduce the frequency regulation penalty, because when the predicted value of the automatic generation control instruction is greater than or equal to the sum of the rated power of the energy storage converter group, it means that the power required by the system is greater than or equal to the maximum output capability of the energy storage, at this time all energy storage capable of participating in frequency regulation must work in load state, so that the output power is as close as possible to the automatic generation control instruction.

[0058] 2-b) if the predicted value of the automatic generation control instruction is less than the sum of the rated power of the energy storage converter group, the energy storage converters are configured to work in the load, standby or shutdown state according to the predicted value of the automatic generation control instruction and the size of the state of charge;

[0059] Specifically, the self-consumption power of the standby state is less than that of the load state, and the self-consumption power of the shutdown state is less than that of the standby state. When the predicted value of the automatic generation control instruction is less than the sum of the rated power of the energy storage converter group, the energy storage system can have a certain margin, and at this time, it is not necessary to configure all the energy storage in the load state, but part of the energy storage device can be configured in the standby or shutdown state according to the value of the instruction, so as to reduce the self-consumption power and improve the cycle efficiency of the energy storage in a long time scale.

[0060] The positive automatic generation control instruction corresponds to the energy storage discharge, and the negative automatic generation control instruction corresponds to the energy storage charging. According to the maximum absolute value in the predicted value of the automatic generation control instruction, the number of energy storage converters working in the load state is calculated, as shown in the following formula:

[0061]

[0062] Wherein: P AGC,max The maximum value in the predicted value of the automatic generation control instruction is n1, and the number of converters in the load state is n1. It should be noted that n calculated according to the above formula is generally not an integer, and at this time, in order to meet the frequency modulation requirement, the integer part should be taken.

[0063] Since there is a deviation between the predicted automatic generation control instruction and the actual automatic generation control instruction, a certain frequency modulation reserve is required. The standby mode has faster response speed and higher power loss than the shutdown mode. If the number of remaining energy storage converters is greater than or equal to 2, 2 energy storage converters are configured to work in the standby state, and the rest are set to the shutdown state; if the number of remaining energy storage converters is less than 2, all the remaining energy storage converters are configured to work in the standby state.

[0064]

[0065] Wherein: n2 is the number of converters in the standby state, and n3 is the number of converters in the shutdown state.

[0066] If the value of the maximum charging power in the predicted value of the automatic generation control instruction is greater than that of the maximum discharge power, the priority of the energy storage converter working in the load state and the priority of the energy storage converter working in the standby state are determined according to the state of charge from low to high. If the state of charge of the two energy storage converters is equal, the priority is determined according to the distance of the converter from the grid connection point of the new energy station. The closer to the grid connection point, the higher the priority of the load state or the standby state, and the farther from the grid connection point, the higher the priority of the shutdown state.

[0067] If the predicted value of the maximum charging power of the automatic generation control instruction is less than or equal to the value of the maximum discharging power, the priority of the energy storage converter working in the load state and the priority of the energy storage converter working in the standby state are determined according to the state of charge from high to low. If the state of charge of the two energy storage converters is equal, the priority is determined according to the distance of the converter from the grid connection point of the new energy station. The closer to the grid connection point, the priority is set to the load state or the standby state. The farther from the grid connection point, the priority is set to the shutdown state.

[0068] S3: Power optimization is performed on the output power of the energy storage converter group according to the efficiency curve of the energy storage converter group, the optimal value of the state of charge, and the actual value of the automatic generation control instruction. The optimization result is issued as a power reference value to each energy storage converter.

[0069] Specifically, the efficiency curve and the optimal value of the state of charge reflect the characteristics of different energy storage devices themselves. The power optimization result can make the state of charge of the energy storage close to the pre-calculated target value, which is beneficial to improve the frequency modulation capability of the energy storage. In addition, the state of charge close to the optimal value also helps to improve the cycle life of the energy storage, thereby indirectly improving the economic benefit.

[0070] When the output power of the energy storage converter group is power optimized according to the efficiency curve of the energy storage converter group, the optimal value of the state of charge, and the actual value of the automatic generation control instruction, the objective function of the power optimization is determined according to the following formula:

[0071]

[0072] Wherein: α i is the charging and discharging identifier of the energy storage, S i is the state of charge of the energy storage, I is the number of energy storage converter groups, and t represents the current time.

[0073] α i The calculation formula of is:

[0074]

[0075]

[0076] It should be noted that since the value of the automatic generation control instruction changes continuously during the frequency modulation process, the solver needs to complete the optimal solution according to the updated parameters each time the instruction changes.

[0077] The constraint condition of the power optimization is determined according to the following formula:

[0078]

[0079] Wherein: P AGC is the actual value of the automatic generation control instruction, Po,i , P N,i is the output power of the energy storage converter and the rated power.

[0080] It should be noted that the constraint on the automatic generation control instruction in the above formula is not always true. Only when the maximum power of the energy storage converter group can meet the frequency modulation requirement of the power grid, the sum of the output power is equal to the value of the automatic generation control instruction.

[0081] To prove the superiority of the method designed in this embodiment, simulation is performed in MATLAB software. The simulation results of this method are compared with the simulation results of the average power allocation strategy and the partial round-robin strategy.

[0082] Figure 2 is a simulation result diagram of the average power allocation strategy according to an example embodiment. Figure 3 is a simulation result diagram of the partial round-robin strategy according to an example embodiment. Figure 4 is a simulation result diagram of the power optimization strategy according to an example embodiment. Table 1 is a comparison data diagram of economic benefits of three different strategies. Figures 2-4 In the above figure, the blue curve in the upper figure represents the actual output power of the energy storage system, and the red curve represents the automatic generation control instruction of the power system. The blue curve in the lower figure represents the variance of the state of charge of the energy storage system.

[0083] Table 1:

[0084] Economic benefit Average distribution Partial rest Power optimization Power deficit (kW) 355640 728390 0 Energy deficit (kWh) 592.7333 1214 0 Power heat loss (kWh) 224 196 127.3333 Energy storage output times 33600 29400 19214 Energy storage action times 33600 29400 5004 SOC final deviation 18.61 17.19 18.62 SOC minimum value 0.5640 0.7482 0.3250 SOC maximum value 0.0978 0.0981 0.1024

[0085] It can be seen that the average allocation strategy cannot improve the state of charge of the distributed energy storage during the frequency modulation process, so it cannot always follow the frequency modulation instruction of the system during the continuous frequency modulation process, and the frequency modulation ability is poor. The partial round-robin strategy forcibly shuts down a part of the energy storage from the perspective of improving economic efficiency, and when the absolute value of the frequency modulation instruction is large, it also cannot well meet the frequency modulation needs of the system. Under the power optimization control of this method, the energy storage can always follow the instruction, and its frequency modulation ability is the strongest.

[0086] In addition, in terms of economic benefits, under the power optimization control of this method, the data such as power shortage, energy shortage, power heat loss, and energy storage output frequency of the energy storage system are all significantly better than those under the control of the average allocation strategy and the partial round-robin strategy.

[0087] From the above embodiments, in order to solve the problem of high self-consumption power of the energy storage system during long-term zero-power scheduling, the application adopts the technical means of pre-configuring the energy storage working state based on the frequency modulation prediction instruction, thereby reducing the self-consumption power and improving the cycle efficiency of the energy storage; in order to solve the problem of high or low state of charge of the energy storage during power distribution, the application adopts the technical means of power optimization according to the target function reflecting the state of charge of the energy storage, thereby improving the state of charge of the energy storage during frequency modulation and improving the frequency modulation capability of the energy storage.

[0088] Corresponding to the foregoing embodiment of the active support type converter group fast power distribution and collaborative optimization method, the application also provides an embodiment of an active support type converter group fast power distribution and collaborative optimization device.

[0089] Figure 5 is a block diagram of an active support type converter group fast power distribution and collaborative optimization device according to an exemplary embodiment. Referring to Figure 5 , the device comprises:

[0090] A calculation module 1 is configured to calculate the optimal value of the state of charge according to the efficiency curve and the limit value of the state of charge of the energy storage converter group.

[0091] An optimization configuration module 2 is configured to optimize the working state of the energy storage device according to the rated power of the energy storage converter group, the actual value of the state of charge, and the predicted value of the automatic generation control instruction, specifically including:

[0092] 2-a) If the predicted value of the automatic generation control instruction is greater than or equal to the sum of the rated power of the energy storage converter group, all energy storage converters work in the load state;

[0093] 2-b) If the predicted value of the automatic generation control instruction is less than the sum of the rated power of the energy storage converter group, the energy storage converters are configured to work in the load, standby or shutdown state according to the predicted value of the automatic generation control instruction and the size of the state of charge;

[0094] A power optimization module 3 is configured to perform power optimization on the output power of the energy storage converter group according to the efficiency curve of the energy storage converter group, the optimal value of the state of charge, and the actual value of the automatic generation control instruction, and the optimization result is sent to each energy storage converter as a power reference value.

[0095] Regarding the device in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

[0096] For the apparatus embodiment, since it basically corresponds to the method embodiment, the relevant part can be seen from the part of the method embodiment. The apparatus embodiment described above is only illustrative, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the application according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0097] Correspondingly, the application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the active support type converter group fast power distribution and collaborative optimization method as described above. As Figure 6 As shown in the figure, a hardware structure diagram of any data processing capable device where the active support type converter group fast power distribution and collaborative optimization apparatus of the embodiment of the application is located, in addition to Figure 6 In addition to the processor, memory, DMA controller, disk, and non-volatile memory shown in the figure, any data processing capable device where the apparatus in the embodiment is located usually includes other hardware according to the actual function of the data processing capable device, which will not be described here.

[0098] Correspondingly, the application also provides a computer readable storage medium having computer instructions stored thereon, which are executed by a processor to implement the active support type converter group fast power distribution and collaborative optimization method as described above. The computer readable storage medium can be an internal storage unit of any data processing capable device, such as a hard disk or memory. The computer readable storage medium can also be an external storage device, such as a plug-in hard disk, a smart media card (SMC), an SD card, a flash card, etc. Further, the computer readable storage medium can include both the internal storage unit of any data processing capable device and the external storage device. The computer readable storage medium is used to store the computer program and other programs and data required by the data processing capable device, and can also be used to temporarily store data that has been output or will be output.

[0099] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the application embrace any and all variations of the present application that fall within the scope of the general inventive concept as defined by the appended claims and their equivalents. The specification and examples are to be considered exemplary only, with the true scope and spirit of the application indicated by the claims.

[0100] It is to be understood that the application is not limited to the precise construction herein described and as shown in the drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is to be defined by the claims appended hereto.

Claims

1. A method for rapid power allocation and collaborative optimization of an actively supported converter group, characterized in that, include: S1: Calculate the optimal value of the state of charge based on the efficiency curve of the energy storage converter group and the limit of the state of charge. S2: Based on the rated power of the energy storage converter group, the actual value of the state of charge, and the predicted value of the automatic generation control command, the operating state of the energy storage device is optimized, specifically including: 2-a) If the predicted value of the automatic generation control command is greater than or equal to the sum of the rated power of the energy storage converter group, then all energy storage converters are operating under load. 2-b) If the predicted value of the automatic generation control command is less than the sum of the rated power of the energy storage converter group, then the energy storage converter shall be configured to operate in load, standby, or shutdown state according to the predicted value of the automatic generation control command and the magnitude of the state of charge; specifically including: Based on the maximum absolute value of the predicted values ​​from the automatic generation control commands, calculate the number of energy storage converters operating under load conditions. Excluding the energy storage converters already determined to be operating under load conditions, if the number of remaining energy storage converters is greater than or equal to 2, then configure 2 energy storage converters to operate in standby mode and set the rest to shutdown mode; if the number of remaining energy storage converters is less than 2, then configure all remaining energy storage converters to operate in standby mode. If the maximum charging power value predicted by the automatic generation control command is greater than the maximum discharging power value, the priority of the energy storage converter operating under load and the priority of the energy storage converter operating under standby are determined according to the state of charge from low to high; if the maximum charging power value predicted by the automatic generation control command is less than or equal to the maximum discharging power value, the priority of the energy storage converter operating under load and the priority of the energy storage converter operating under standby are determined according to the state of charge from high to low. S3: Based on the efficiency curves of the energy storage converter group, the optimal value of the state of charge, and the actual value of the automatic generation control command, the output power of the energy storage converter group is optimized, and the optimization results are sent to each energy storage converter as power reference values.

2. The method according to claim 1, characterized in that, The optimal value of the state of charge (SOC) is calculated based on the efficiency curves and SOC limits of the energy storage converter group, specifically including: Calculate the optimal value of the state of charge using the following formula. S p,i : ； in: S max,i , S min,i These are the upper and lower limits of the state of charge (SOC) of the energy storage converter. η i The efficiency of the energy storage converter.

3. The method according to claim 1, characterized in that, When optimizing the output power of the energy storage converter group based on its efficiency curve, optimal state of charge, and actual values ​​of automatic generation control commands, the objective function for power optimization is determined according to the following formula: ； in: α i For energy storage charging and discharging indicators, S i The state of charge of energy storage. I The number of energy storage converter groups, t It represents the current moment.

4. The method according to claim 1, characterized in that, When optimizing the output power of the energy storage converter group based on its efficiency curve, optimal state of charge, and actual values ​​of automatic generation control commands, the constraints for power optimization are determined according to the following formula: ； in: P AGC This represents the actual value of the automatic power generation control command. P o,i , P N,i This refers to the output power and rated power of the energy storage converter.

5. A device for rapid power distribution and collaborative optimization of an active-support type converter group, characterized in that, include: The calculation module is used to calculate the optimal value of the state of charge based on the efficiency curve and the limit of the state of charge of the energy storage converter group. The optimization configuration module is used to optimize the operating status of the energy storage device based on the rated power of the energy storage converter group, the actual value of the state of charge, and the predicted value of the automatic generation control command. Specifically, it includes: 2-a) If the predicted value of the automatic generation control command is greater than or equal to the sum of the rated power of the energy storage converter group, then all energy storage converters are operating under load. 2-b) If the predicted value of the automatic generation control command is less than the sum of the rated power of the energy storage converter group, then the energy storage converter shall be configured to operate in load, standby, or shutdown state according to the predicted value of the automatic generation control command and the magnitude of the state of charge; specifically including: Based on the maximum absolute value of the predicted values ​​from the automatic generation control commands, calculate the number of energy storage converters operating under load conditions. Excluding the energy storage converters already determined to be operating under load conditions, if the number of remaining energy storage converters is greater than or equal to 2, then configure 2 energy storage converters to operate in standby mode and set the rest to shutdown mode; if the number of remaining energy storage converters is less than 2, then configure all remaining energy storage converters to operate in standby mode. If the maximum charging power value predicted by the automatic generation control command is greater than the maximum discharging power value, the priority of the energy storage converter operating under load and the priority of the energy storage converter operating under standby are determined according to the state of charge from low to high; if the maximum charging power value predicted by the automatic generation control command is less than or equal to the maximum discharging power value, the priority of the energy storage converter operating under load and the priority of the energy storage converter operating under standby are determined according to the state of charge from high to low. The power optimization module is used to optimize the output power of the energy storage converter group based on the efficiency curve, the optimal value of the state of charge, and the actual value of the automatic generation control command. The optimization result is sent to each energy storage converter as a power reference value.

6. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-4.

7. A computer-readable storage medium storing computer instructions thereon, characterized in that, When executed by the processor, this instruction implements the steps of the method as described in any one of claims 1-4.

Images