A macroscopic consistency coordination control method, system and electronic equipment for an energy storage array

Abstract

The application discloses a macroscopic consistency coordination control method and system of an energy storage array and electronic equipment, and relates to the technical field of energy storage system coordination control. The application firstly takes the dynamic grouping selection control of the flywheel array as upper-layer control, and the flywheel array energy storage system selects the working state of the array group matched in power according to the power distribution instruction. Secondly, the SOC difference of the flywheel units in the array is gradually reduced, so that the overall flywheel energy storage system (FESS) gradually tends to macroscopic consistency in the charging and discharging process, the control difficulty of the numerous flywheels is reduced, the frequent action of the flywheels is reduced, the service life of the flywheels is prolonged, and the waste of energy storage resources is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage system coordinated control, in particular to a macroscopic consistency coordinated control method, system and electronic equipment for energy storage array. BACKGROUND

[0002] With large-scale and high-capacity grid connection of new energy, the frequency modulation of thermal power units cannot fully meet the demand of new energy access due to its long response time and slow climbing rate, and large frequency fluctuations of power grid occur frequently. Therefore, a certain capacity of energy storage equipment is configured in the new energy power generation system. As a clean and efficient physical energy storage method, flywheel has the advantages of fast response, bidirectional output and frequent charge and discharge characteristics, and has excellent application prospects in power grid frequency modulation, new energy consumption and microgrid support, which can effectively improve the stability of power grid. Flywheel energy storage system (FESS) is introduced into the western high-proportion new energy power generation area to cope with the deterioration of power system frequency stability under new energy access and assist thermal power units in participating in automatic generation control (AGC). On this basis, in order to obtain more energy, higher power and longer time backup, a large number of researches are carried out on flywheel energy storage array under the limitation of single flywheel. However, the existing research method only distributes equal power to the flywheel array, and all single flywheels are operated at the same time and bear the task of power grid frequency modulation during the charging and discharging process. After long-time work of the flywheel, the state of charge of different single flywheels is inconsistent, the overall energy utilization rate of the flywheel array energy storage system is low, and there is no energy overrun protection measure for the flywheel. Based on this, the flywheel needs to be operated frequently in the existing method, which greatly shortens the service life of the flywheel and increases the waste of energy storage resources, and the macroscopic consistency of the flywheel energy storage array cannot be effectively regulated and controlled. SUMMARY

[0003] To solve the above problems existing in the prior art, the purpose of the present application is to provide a macroscopic consistency coordinated control method, system and electronic equipment for energy storage array.

[0004] To achieve the above purpose, the present application provides the following solutions:

[0005] A macroscopic consistency coordinated control method for energy storage array, comprising:

[0006] obtaining the current total power instruction of the flywheel array energy storage system and the maximum charge and discharge power of each flywheel array in the flywheel array energy storage system;

[0007] determining a working state of the flywheel array in the flywheel energy storage system based on a relationship between an absolute value of the current total power instruction and the maximum charge-discharge power;

[0008] obtaining working parameters of each flywheel unit in the flywheel array based on the working state; the working parameters include: rotational speed, angular velocity and energy;

[0009] determining an SOC value of each flywheel unit based on the working parameters;

[0010] adopting a charge-discharge control strategy to achieve consistency of the SOC values;

[0011] based on the consistency of the SOC values, distributing power adjustment instructions in the flywheel array to the flywheel units with a preset condition as an optimization target.

[0012] Optionally, determining a working state of the flywheel array in the flywheel energy storage system based on a relationship between an absolute value of the current total power instruction and the maximum charge-discharge power, specifically comprising:

[0013] when the absolute value of the current total power instruction is less than or equal to the maximum charge-discharge power, determining that a group of flywheel arrays in the flywheel energy storage system perform charge-discharge work;

[0014] when the absolute value of the current total power instruction is greater than the maximum charge-discharge power and less than a sum of the maximum charge-discharge powers of all flywheel arrays in the flywheel energy storage system, determining that several groups of flywheel arrays in the flywheel energy storage system perform charge-discharge work;

[0015] when the absolute value of the current total power instruction is less than or equal to the sum of the maximum charge-discharge powers of all flywheel arrays in the flywheel energy storage system, determining that all flywheel arrays in the flywheel energy storage system perform charge-discharge work.

[0016] Optionally, adopting a charge-discharge control strategy to achieve consistency of the SOC values, specifically comprising:

[0017] obtaining a charge-discharge power and an SOC value of each flywheel unit in the flywheel array performing charge-discharge work;

[0018] sorting the flywheel units based on the SOC values to obtain a flywheel unit sequence;

[0019] judging whether a change value of the charge-discharge power in a sampling time is greater than zero to obtain a first judgment result;

[0020] when the first judgment result is yes, charging the flywheel unit with the smallest SOC value in the flywheel unit sequence;

[0021] determining whether the charging power of the flywheel cell with the minimum SOC value is less than or equal to the maximum load power of the flywheel cell with the minimum SOC value, to obtain a second determination result;

[0022] when the second determination result is yes, determining the charging capability of the flywheel cell with the minimum SOC value;

[0023] when the second determination result is no, performing over-limit protection on the flywheel cell with the minimum SOC value, and charging the flywheel cell with the second minimum SOC value, and sequentially performing the same operation;

[0024] when the first determination result is no, discharging the flywheel cell with the maximum SOC value in the flywheel cell sequence;

[0025] determining whether the discharging power of the flywheel cell with the maximum SOC value is greater than or equal to the minimum load power of the flywheel cell with the maximum SOC value, to obtain a third determination result;

[0026] when the third determination result is yes, determining the discharging capability of the flywheel cell with the maximum SOC value;

[0027] when the third determination result is no, performing over-limit protection on the flywheel cell with the maximum SOC value, and discharging the flywheel cell with the second maximum SOC value, and sequentially performing the same operation.

[0028] Optionally, in the over-limit protection process, the capacity limit of the flywheel unit is represented by the SOC value.

[0029] Optionally, the preset condition is that the total operation cost of the flywheel array energy storage system in each cycle is the lowest.

[0030] According to the specific embodiments provided by the present application, the following technical effects are achieved:

[0031] The macroscopic consistency coordination control method of the energy storage array provided by the present application firstly takes the dynamic grouping selection control of the flywheel array as the upper control, and the flywheel array energy storage system selects the working state of the array group matched in power according to the power distribution instruction. Secondly, the SOC difference of the flywheel unit in the array is gradually reduced, so that the overall flywheel energy storage system (FESS) gradually tends to be macroscopically consistent in the charging and discharging process, so as to reduce the control difficulty of numerous flywheels, reduce the frequent action of the flywheel, and then improve the service life of the flywheel and reduce the waste of energy storage resources.

[0032] In order to implement the macroscopic consistency coordination control method of the energy storage array provided above, the present application further provides the following implementation system:

[0033] A macroscopic consistency coordination control system of an energy storage array, comprising:

[0034] a data acquisition module configured to acquire a current total power instruction of a flywheel array energy storage system and maximum charge-discharge power of each flywheel array in the flywheel array energy storage system;

[0035] a state determination module configured to determine a working state of the flywheel array in the flywheel array energy storage system based on a relationship between an absolute value of the current total power instruction and the maximum charge-discharge power;

[0036] a parameter acquisition module configured to acquire a working parameter of each flywheel unit in the flywheel array based on the working state; the working parameter includes rotation speed, angular velocity and energy;

[0037] an SOC value determination module configured to determine an SOC value of each flywheel unit based on the working parameter;

[0038] a consistency implementation module configured to implement consistency of the SOC value by using a charge-discharge control strategy;

[0039] an instruction distribution module configured to distribute a power adjustment instruction in the flywheel array to the flywheel unit based on the consistency of the SOC value and taking a preset condition as an optimization target.

[0040] An electronic device comprises:

[0041] a memory configured to store a computer software program;

[0042] a processor connected to the memory and configured to call and execute the computer software program to implement the above-mentioned energy storage array macroscopic consistency coordination control method.

[0043] Optionally, the memory is a computer readable storage medium.

[0044] The technical effects achieved by the two implementation systems provided by the present application are the same as the technical effects achieved by the energy storage array macroscopic consistency coordination control method provided by the present application, and thus will not be described here in detail. BRIEF DESCRIPTION OF DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0046] Figure 1 a flowchart of the energy storage array macroscopic consistency coordination control method provided by the present application;

[0047] Figure 2An implementation flowchart of the macroscopic consistency coordination control method of the energy storage array provided by the present application is shown in the figure.

[0048] Figure 3 An implementation flowchart of the charge and discharge control strategy provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0050] The present application aims to provide a macroscopic consistency coordination control method, system and electronic device of an energy storage array, which can reduce the control difficulty of numerous flywheels, reduce the frequent actions of the flywheels, thereby improve the service life of the flywheels and reduce the waste of energy storage resources, and realize the macroscopic consistency of the flywheel energy storage array.

[0051] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0052] As shown in the figure, the macroscopic consistency coordination control method of the energy storage array provided by the present application comprises: Figure 1

[0053] Step 100: obtaining the current total power instruction of the flywheel array energy storage system and the maximum charge and discharge power of each flywheel array in the flywheel array energy storage system. Wherein, the current total power instruction of the flywheel array energy storage system is set as ΔP, when ΔP>0, the actual output power of the power plant is higher than the dispatching plan of the power grid, the flywheel energy storage array system stores energy. When ΔP<0, the actual output power of the power plant is lower than the dispatching plan of the power grid, the flywheel energy storage array system releases energy.

[0054] In actual application process, in order to facilitate to reduce the action frequency of the whole flywheel array, it is necessary to firstly group the flywheel array dynamically, for example, in a large-capacity flywheel energy storage array system with multiple flywheel monomers with a power of 500KW, the flywheel array is combined as a whole with m, to expand the charge and discharge range of the flywheel array flexibly, where m=4 is shown as an example, which can also be selected by oneself.

[0055] Step 101: determining the working state of the flywheel array in the flywheel array energy storage system based on the relationship between the absolute value of the current total power instruction and the maximum charge and discharge power. In the implementation process, as shown in the figure, this step can comprise: Figure 2

[0056] ​​A, when the absolute value of total power instruction is less than or equal to the maximum charge-discharge power (i.e. ΔP|≤P Ai ), it indicates that the energy stored in the flywheel array can meet the total power scheduling instruction ΔP, at this time, it is determined that a group of flywheel arrays in the flywheel array energy storage system perform charge-discharge work, that is, only the i-th flywheel array in the group performs charge-discharge, and other flywheel arrays do not need to be scheduled. Wherein, P Ai is the maximum charge-discharge power of the i-th flywheel array.

[0057] B, when the absolute value of total power instruction is greater than the maximum charge-discharge power and less than the sum of the maximum charge-discharge power of all flywheel arrays in the flywheel array energy storage system (i.e. ), it indicates that the energy stored in the flywheel array can meet the total power scheduling instruction ΔP, at this time, it is determined that several groups of flywheel arrays in the flywheel array energy storage system perform charge-discharge work. In actual application, N groups of flywheel arrays are obtained, provided that the flywheel array system adopts the same parallel mode, and the calculation formula of N groups is:

[0058]

[0059] Wherein, n is the total number of flywheels in the FESS.

[0060] C, when the absolute value of total power instruction is less than or equal to the sum of the maximum charge-discharge power of all flywheel arrays in the flywheel array energy storage system (i.e. ), it indicates that the total power of the joint scheduling of the entire flywheel array cannot meet the total power scheduling instruction ΔP, at this time, it is determined that all flywheel arrays in the flywheel array energy storage system perform charge-discharge work.

[0061] Step 102: Obtain the working parameters of each flywheel monomer in the flywheel array based on the working state. The working parameters include: rotational speed v, angular velocity ω and energy E.

[0062] Step 103: Determine the SOC value of each flywheel monomer based on the working parameters. Wherein, the SOC (State of Charge) value of the i-th flywheel monomer is SOC i :

[0063]

[0064] Wherein, ω t is the angular velocity at time t, ω min is the minimum angular velocity, ω max is the maximum angular velocity, E t is the energy at time t, E max is the maximum energy, E min is the minimum energy, v t is the rotational speed at time t, v maxFor the maximum speed, v min For the minimum speed.

[0065] In the above formula (2) can be seen that the SOC of the flywheel and the speed has a certain correlation, and then can be through the control speed indirect approach to achieve the purpose of the SOC consistency.

[0066] Step 104: using charge and discharge control strategy to achieve the consistency of the SOC value. For each flywheel monomer energy detection and SOC value sorting, through the SOC constraints of the proportion of the distribution scheme to improve, to allocate more than the power limit, recharging. In the implementation process, as shown in Figure 3 , this step can include:

[0067] A, get the charge and discharge power and SOC value of each flywheel monomer in the flywheel array working.

[0068] B, based on the SOC value of the flywheel monomer sorting processing to get the flywheel monomer sequence.

[0069] C, judge the change value of the charge and discharge power in the sampling time is greater than zero, get the first judgment result.

[0070] D, when the first judgment result is yes, the flywheel monomer with the minimum SOC value in the flywheel monomer sequence is charged.

[0071] E, judge whether the charging power of the flywheel monomer with the minimum SOC value is less than or equal to the maximum load power of the flywheel monomer with the minimum SOC value, get the second judgment result.

[0072] F, when the second judgment result is yes, determine the charging capacity of the flywheel monomer with the minimum SOC value.

[0073] G, when the second judgment result is no, the flywheel monomer with the minimum SOC value is protected, and the flywheel monomer with the second minimum SOC value is charged, and so on.

[0074] H, when the first judgment result is no, the flywheel monomer with the maximum SOC value in the flywheel monomer sequence is discharged.

[0075] I, judge whether the discharge power of the flywheel monomer with the maximum SOC value is greater than or equal to the minimum load power of the flywheel monomer with the maximum SOC value, get the third judgment result.

[0076] J, when the third judgment result is yes, determine the discharge capacity of the flywheel monomer with the maximum SOC value.

[0077] K, when the third judgment result is no, the flywheel monomer with the maximum SOC value is protected, and the flywheel monomer with the second maximum SOC value is discharged, and so on.

[0078] Wherein, in order to avoid overcharge, overdischarge, and cause safety accidents during the overrun protection process, the capacity limit of the battery unit operation is represented by SOC, which can be expressed as:

[0079]

[0080] SOC min The minimum value is the minimum value of the flywheel rotor, SOC max The maximum value is the maximum speed of the flywheel rotor rotation. P C(i) The flywheel unit charging power is P D(i) The flywheel unit discharging power is P Fmax The flywheel unit maximum load power is P Fmin The flywheel unit minimum load power is P

[0081] In order to realize the relative balance of the SOC of each flywheel unit of the flywheel group, the Sigmoid function is used to output the hidden layer neurons, and the SOC value is expressed by index. The charging capacity and discharging capacity of the flywheel unit are expressed by introducing the formula. The charging function and discharging function of the flywheel unit are shown in formula (4) and formula (5) respectively.

[0082]

[0083]

[0084] In the formula, SOC i,t-1 The state of charge of the i-th flywheel unit in the flywheel array at t-1 time.

[0085] Step 105: Based on the consistency of the SOC value, the power adjustment instruction in the flywheel array is distributed to the flywheel unit with the preset condition as the optimization target. The preset condition can be the minimum total operation cost of the flywheel array energy storage system in each cycle. In the present application, the total operation cost considers the charging and discharging power and SOC, as shown in formula (6).

[0086]

[0087] In the formula, n is the total number of flywheels in FESS. k1 and k2 are constant coefficients, which are 0.002 and 0.4 respectively. ΔP i The power change of the i-th flywheel unit in the flywheel array is P r,t The allocated power of the battery unit i at t time is ΔSOC i The SOC change of the i-th battery unit of the battery group is T. P Fmax The maximum capacity of the i-th flywheel unit in the flywheel matrix is P

[0088] In the actual application process, the operation simulation of four flywheel arrays in a certain high proportion of new energy power generation in the west can be used to verify the superiority of the macroscopic consistency coordination control method of the energy storage array provided in the application.

[0089] Based on the above description, the macroscopic consistency coordination control method of the energy storage array provided in the application has the following technical advantages:

[0090] 1) The application adopts dynamic grouping selection to schedule and control power distribution of the flywheel array, selects and mobilizes several groups of flywheel arrays according to the total mobilization instruction ΔP of the FESS, which can not only meet the demand of the total mobilization power ΔP, but also improve the frequent switching of the flywheel charge and discharge state, and save the loss of energy storage resources.

[0091] 2) The application considers the inconsistency of the flywheel in the lower array during operation and the over-limit distribution of power, introduces a Sigmoid function to describe the charge and discharge capacity of the flywheel unit, helps to improve the SOC of each flywheel unit in the flywheel array to be consistent. At the same time, an economic index of charge and discharge cycle is introduced to reduce the overall operating cost. The control strategy of the patent not only facilitates the overall FESS control, but also realizes the macroscopic consistency coordination control of the large-capacity flywheel energy storage array.

[0092] Further, in order to implement the macroscopic consistency coordination control method of the energy storage array provided above, the application further provides the following implementation system:

[0093] A macroscopic consistency coordination control system of an energy storage array, comprising:

[0094] A data acquisition module for acquiring the current total power instruction of the flywheel array energy storage system and the maximum charge and discharge power of each flywheel array in the flywheel array energy storage system.

[0095] A state determination module for determining the working state of the flywheel array in the flywheel array energy storage system based on the relationship between the absolute value of the current total power instruction and the maximum charge and discharge power.

[0096] A parameter acquisition module for acquiring the working parameters of each flywheel unit in the flywheel array based on the working state. The working parameters include: rotational speed, angular velocity and energy.

[0097] An SOC value determination module for determining the SOC value of each flywheel unit based on the working parameters.

[0098] A consistency implementation module for implementing the consistency of the SOC value by using a charge and discharge control strategy.

[0099] An instruction distribution module for distributing the power adjustment instruction in the flywheel array to the flywheel unit based on the consistency of the SOC value, and taking the preset condition as the optimization target.

[0100] An electronic device comprises:

[0101] A memory for storing a computer program.

[0102] A processor connected with the memory for calling and executing the computer program to implement the above-mentioned macroscopic consistency coordination control method of energy storage array.

[0103] In addition, the computer program in the memory described above is realized in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such an understanding, the technical solutions of the present application essentially or the part that contributes to the prior art, or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and various media that can store program codes.

[0104] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the system disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part.

[0105] The principles and implementation manners of the present application are described by using specific examples in this paper. The above embodiment description is only used to help understand the method of the present application and its core idea. For those skilled in the art, according to the idea of the present application, the specific implementation manner and application range can be changed. In summary, the content of the specification should not be understood as a limitation of the present application.

Claims

1. A macro-consistent coordination control method for energy storage arrays, characterized in that, include: Obtain the current total power command of the flywheel array energy storage system and the maximum charging and discharging power of each flywheel array in the flywheel array energy storage system; The operating state of the flywheel array in the flywheel array energy storage system is determined based on the relationship between the absolute value of the current total power command and the maximum charge / discharge power, including: when the absolute value of the current total power command is less than or equal to the maximum charge / discharge power, determining that one group of flywheel arrays in the flywheel array energy storage system is engaged in charge / discharge operation; when the absolute value of the current total power command is greater than the maximum charge / discharge power but less than the sum of the maximum charge / discharge power of all flywheel arrays in the flywheel array energy storage system, determining that several groups of flywheel arrays in the flywheel array energy storage system are engaged in charge / discharge operation; when the absolute value of the current total power command is greater than the sum of the maximum charge / discharge power of all flywheel arrays in the flywheel array energy storage system, determining that all flywheel arrays in the flywheel array energy storage system are engaged in charge / discharge operation; wherein, the flywheel arrays are dynamically grouped. Based on the operating state, the operating parameters of each individual flywheel in the flywheel array are obtained; the operating parameters include: rotational speed, angular velocity, and energy. determining a SOC value of each flywheel cell based on the working parameters; wherein the SOC value of the i-th flywheel cell is SOC i : where ω t is the angular velocity at time t, ω min is the minimum angular velocity, ω max is the maximum angular velocity, E t is the energy at time t, E max is the maximum energy, E min is the minimum energy, v t is the rotational speed at time t, v max is the maximum rotational speed, v min is the minimum rotational speed; A charging and discharging control strategy is employed to achieve consistency in the SOC value. Specifically, to ensure relatively balanced SOC across each flywheel unit in the flywheel assembly, a sigmoid function is used for hidden layer neuron output, exponentially representing the SOC value. Formulas are introduced to express the charging and discharging capabilities of each flywheel unit. The charging and discharging functions of a single flywheel unit are expressed as follows: where SOC i,t-1 is the state of charge of the i-th flywheel unit in the flywheel array at time t-1, SOC i is the SOC value of the i-th flywheel unit, f c (SOC i,t-1 ) is the charge function of the flywheel unit, f d (SOC i,t-1 ) is the discharge function of the flywheel unit; Based on the consistency of the SOC value, and with preset conditions as the optimization target, the power adjustment commands in the flywheel array are allocated to individual flywheel units.

2. The macro-homogeneous coordinated control method of energy storage arrays according to claim 1, characterized in that, The consistency of the SOC value is achieved by employing a charge / discharge control strategy, specifically including: Obtain the charging / discharging power and SOC value of each individual flywheel in the flywheel array that is charging and discharging. The flywheel units are sorted based on the SOC values ​​to obtain a flywheel unit sequence; Determine whether the change in charging and discharging power within the sampling time is greater than zero to obtain the first determination result; When the first judgment result is yes, the flywheel cell with the smallest SOC value in the flywheel cell sequence is charged. The second determination result is obtained by determining whether the charging power of the flywheel unit with the smallest SOC value is less than or equal to the maximum load power of the flywheel unit with the smallest SOC value. When the second judgment result is yes, determine the charging capability of the flywheel cell with the smallest SOC value; When the second judgment result is negative, the flywheel cell with the smallest SOC value is protected against over-limit, and the flywheel cell with the second smallest SOC value is charged, and so on. When the first judgment result is negative, the flywheel cell with the largest SOC value in the flywheel cell sequence is discharged. The third judgment result is obtained by determining whether the discharge power of the flywheel unit with the largest SOC value is greater than or equal to the minimum load power of the flywheel unit with the largest SOC value. When the third judgment result is yes, the discharge capability of the flywheel unit with the largest SOC value is determined; When the third determination result is no, the flywheel unit with the largest SOC value is subjected to over-limit protection, and the flywheel unit with the second largest SOC value is discharged, and the same is applied to the other flywheel units.

3. The macro-homogeneous coordinated control method of energy storage arrays according to claim 2, characterized in that, During the over-limit protection process, the capacity limit of the flywheel unit is represented by the SOC value.

4. The macro-homogeneous coordinated control method of energy storage arrays according to claim 1, characterized in that, The preset condition is that the total operation cost of the flywheel array energy storage system in each cycle is the lowest.

5. A macro-homogeneous coordination control system for energy storage arrays, characterized by, The system comprises: a data acquisition module configured to acquire a current total power instruction of the flywheel array energy storage system and maximum charge-discharge power of each flywheel array in the flywheel array energy storage system; a state determination module configured to determine a working state of the flywheel array in the flywheel array energy storage system based on a relationship between an absolute value of the current total power instruction and the maximum charge-discharge power; a parameter acquisition module configured to acquire working parameters of each flywheel unit in the flywheel array based on the working state, wherein the working parameters include rotation speed, angular velocity and energy; an SOC value determination module configured to determine an SOC value of each flywheel unit based on the working parameters; a consistency implementation module configured to implement consistency of the SOC values by using a charge-discharge control strategy; an instruction distribution module configured to distribute power regulation instructions of the flywheel array to the flywheel units based on the consistency of the SOC values and taking a preset condition as an optimization target.

6. An electronic device, comprising: The system comprises: a memory configured to store a computer software program; a processor connected to the memory and configured to call and execute the computer software program to implement the macroscopic consistency coordination control method of the energy storage array according to any one of claims 1-4.

7. The electronic device of claim 6, wherein, The memory is a computer readable storage medium.

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