Battery energy storage cluster cooperative regulation and control method considering regulation and control potential and related device

Abstract

The invention provides a battery energy storage cluster cooperative regulation and control method considering regulation and control potential and a related device. The method comprises the following steps: obtaining a first equivalent function representing a relationship between a state of charge and an open-circuit voltage and a second equivalent function representing a relationship between the state of charge and an equivalent internal resistance; evaluating adjustment potentials of different charge state intervals of battery energy storage based on the first equivalent function, and taking the maximum interval when the adjustment potentials meet a set value as the maximum adjustment interval of the first feasible region; calculating equivalent internal resistances of different charge state intervals based on a second equivalent function, and taking the maximum interval when the equivalent internal resistances in the intervals are equal as a second feasible region adjustment maximum interval; taking an intersection of the two maximum intervals as a feasible region to adjust the maximum interval; and carrying out cooperative regulation and control in the interval. According to the method, the maximum interval of the feasible region of energy storage cluster regulation and control is obtained by considering the regulation and control potential, the cluster supporting capacity is fully released through cooperative regulation and control in the interval, and safer, more stable and more economical operation of a novel power system is achieved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of battery energy storage cluster regulation in power systems, and particularly relates to a battery energy storage cluster collaborative regulation method considering regulation potential and a related device. BACKGROUND

[0002] With the adjustment of energy structure, new power systems have developed rapidly. In new power systems, the proportion of wind power, photovoltaic and other new energy access has increased dramatically. The large-scale access of these new energies has changed the power supply structure of the power system.

[0003] However, the output of wind power and photovoltaic has uncertainty, and the source and load output in the system is difficult to predict in real time and accurately, which brings challenges to the stable operation of the power system. In order to ensure the safe and stable operation of the system, energy storage is needed to regulate the system power, especially in the case of multiple battery energy storages operating in parallel.

[0004] Currently, when multiple battery energy storages operate in parallel, the traditional method of equally sharing system dynamic power by multiple battery energy storages or proportionally sharing system dynamic power according to the rated capacity of battery energy storage has the problem of not being able to fully tap the potential of energy storage, which further makes the support capacity of energy storage cluster not fully developed, affecting its operating efficiency and economy. SUMMARY

[0005] Therefore, the present application provides a battery energy storage cluster collaborative regulation method considering regulation potential and a related device, aiming to fully tap the regulation potential of battery energy storage cluster and effectively develop the support capacity of energy storage cluster, so as to ensure the safe, stable and economic operation of new power system.

[0006] In order to achieve the above purpose, the technical scheme provided by the present application is as follows:

[0007] In the first aspect, the present application provides a battery energy storage cluster collaborative regulation method considering regulation potential, comprising the following steps:

[0008] According to the factory test data of battery energy storage, a first equivalent function representing the relationship between state of charge and open circuit voltage is obtained, and a second equivalent function representing the relationship between state of charge and equivalent internal resistance is obtained;

[0009] Based on the first equivalent function, the regulation potential of battery energy storage in different state of charge intervals is evaluated, and the state of charge interval in which all regulation potentials meet the set value of regulation potential is selected, and the largest state of charge interval is taken as the first feasible domain regulation maximum interval; the regulation potential and the change degree of open circuit voltage in the interval are negatively correlated;

[0010] The equivalent internal resistance of the battery energy storage in different state of charge intervals is calculated based on the second equivalent function, state of charge intervals in which the equivalent internal resistance is equal in all intervals are screened, and the maximum state of charge interval is taken as the second feasible domain adjustment maximum interval;

[0011] The intersection of the first feasible domain adjustment maximum interval and the second feasible domain adjustment maximum interval is taken as the feasible domain adjustment maximum interval of the battery energy storage cluster;

[0012] The battery energy storage cluster is cooperatively regulated in the feasible domain adjustment maximum interval.

[0013] Further, the adjustment potential is quantitatively described by using an adjustment potential coefficient, and the calculation expression of the adjustment potential coefficient is:

[0014] k(SOC x-y )=E(SOC x ) / E(SOC y ) x-y )=E(SOC x ) / E(SOC y )

[0015] In the formula, k(SOC x-y ) is the adjustment potential coefficient of the battery energy storage state of charge between SOC x and SOC y , E(SOC x ) and E(SOC y ) are the open-circuit voltages corresponding to the battery energy storage state of charge of SOC x and SOC y respectively, 0≤SOC x ≤1, 0≤SOC y ≤1.

[0016] Further, the adjustment potential of the battery energy storage in different state of charge intervals is evaluated based on the first equivalent function, and state of charge intervals in which the adjustment potential meets the adjustment potential set value are screened, including:

[0017] The first adjustment potential coefficient of the battery energy storage in different state of charge intervals is calculated based on the first equivalent function;

[0018] The state of charge interval is continuously adjusted until the first adjustment potential coefficient is equal to the maximum adjustment potential set value;

[0019] The state of charge intervals corresponding to the first adjustment potential coefficient less than or equal to the maximum adjustment potential set value are taken as the screened state of charge intervals.

[0020] Further, the equivalent internal resistance of the battery energy storage in different state of charge intervals is calculated based on the second equivalent function, and state of charge intervals in which the equivalent internal resistance is equal in all intervals are screened, including:

[0021] According to the second equivalent function, the battery energy storage is calculated at different state of charge intervals, and the two end equivalent resistances corresponding to the state of charge at both ends are obtained;

[0022] The state of charge interval is continuously adjusted until the two end equivalent resistances are just equal;

[0023] All the state of charge intervals with equal two end equivalent resistances are selected as the screened state of charge intervals.

[0024] Further, the battery energy storage cluster is cooperatively regulated within the maximum interval of the feasible region, including:

[0025] When the state of charge of the battery energy storage cluster is within the maximum interval of the feasible region, the state of charge of each battery energy storage is cooperatively regulated with the target of minimizing the total loss of the battery energy storage cluster.

[0026] Further, the cooperative regulation of the battery energy storage cluster within the maximum interval of the feasible region also includes:

[0027] When the state of charge of the battery energy storage cluster is not within the maximum interval of the feasible region, the state of charge of each battery energy storage is regulated according to the unified state of charge principle.

[0028] Further, the unified state of charge principle is to make the state of charge of each battery in the battery energy storage cluster consistent.

[0029] In a second aspect, the present application provides a battery energy storage cluster cooperative regulation device considering regulation potential, including:

[0030] A function relationship determination module is configured to obtain a first equivalent function representing the relationship between the state of charge and the open circuit voltage, and a second equivalent function representing the relationship between the state of charge and the equivalent resistance, based on the factory test data of the battery energy storage;

[0031] A first feasible region regulation maximum interval determination module is configured to evaluate the regulation potential of the battery energy storage at different state of charge intervals based on the first equivalent function, screen all the state of charge intervals with regulation potential meeting the set value, and select the maximum state of charge interval as the first feasible region regulation maximum interval; the regulation potential is negatively correlated with the change degree of the open circuit voltage in the interval;

[0032] A second feasible region regulation maximum interval determination module is configured to calculate the equivalent resistance of the battery energy storage at different state of charge intervals based on the second equivalent function, screen all the state of charge intervals with equal equivalent resistance in the interval, and select the maximum state of charge interval as the second feasible region regulation maximum interval;

[0033] The feasible region adjustment maximum interval determination module is configured to take the intersection of the first feasible region adjustment maximum interval and the second feasible region adjustment maximum interval as the feasible region adjustment maximum interval of the battery energy storage cluster.

[0034] The regulation module is configured to perform collaborative regulation on the battery energy storage cluster within the feasible region adjustment maximum interval.

[0035] In a third aspect, the present application provides a computer device, which comprises a processor and a memory:

[0036] The memory is configured to store a computer program and send instructions of the computer program to the processor.

[0037] The processor is configured to execute the collaborative regulation method of the battery energy storage cluster considering regulation potential according to the instructions of the computer program.

[0038] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the collaborative regulation method of the battery energy storage cluster considering regulation potential.

[0039] In summary, the present application provides a collaborative regulation method of the battery energy storage cluster considering regulation potential. Firstly, the first equivalent function representing the relationship between the state of charge and the open circuit voltage and the second equivalent function representing the relationship between the state of charge and the equivalent internal resistance are obtained according to the factory test data of the battery energy storage. Secondly, the regulation potential of the battery energy storage in different state of charge intervals is evaluated based on the first equivalent function, and the state of charge interval in which all regulation potentials meet the set regulation potential value is screened out, and the largest state of charge interval is taken as the first feasible region adjustment maximum interval. The regulation potential and the change degree of the open circuit voltage in the interval are negatively correlated. Then, the equivalent internal resistance of the battery energy storage in different state of charge intervals is calculated based on the second equivalent function, and the state of charge interval in which all equivalent internal resistances are equal is screened out, and the largest state of charge interval is taken as the second feasible region adjustment maximum interval. Then, the intersection of the first feasible region adjustment maximum interval and the second feasible region adjustment maximum interval is taken as the feasible region adjustment maximum interval of the battery energy storage cluster. Finally, the battery energy storage cluster is collaboratively regulated within the feasible region adjustment maximum interval. The present application screens out the feasible region maximum interval considering the regulation potential and the loss characteristics, and performs collaborative regulation based on the interval. The present application not only accurately locks the safe interval of the battery energy storage cluster which has high efficient regulation capacity, solves the problem of insufficient potential excavation under the traditional equal division or rated capacity allocation method, but also fully releases the support capacity of the cluster through collaborative regulation within the interval, and finally realizes the safer, more stable and more economical operation of the new power system.

[0040] The application further provides a battery energy storage cluster coordinated regulation device considering regulation potential, computer equipment and a computer readable storage medium, which have similar effects to the above method when implemented, and details are not repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0042] Figure 1 A flow chart of a battery energy storage cluster coordinated regulation method considering regulation potential provided by the embodiment of the present application;

[0043] Figure 2 A composition block diagram of a battery energy storage cluster coordinated regulation device considering regulation potential provided by the embodiment of the present application;

[0044] Figure 3 A composition block diagram of a computer equipment provided by the embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the objectives, characteristics and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings of the embodiments of the present application. Obviously, the embodiments described below are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0046] Please refer to Figure 1 The embodiment provides a battery energy storage cluster coordinated regulation method considering regulation potential, which comprises the following steps:

[0047] S11: According to the factory test data of the battery energy storage, a first equivalent function representing the relationship between the state of charge and the open circuit voltage is obtained, and a second equivalent function representing the relationship between the state of charge and the equivalent internal resistance is obtained.

[0048] It should be noted that the factory test data is the performance data obtained by the manufacturer through standardized testing before the battery is shipped, including charge-discharge curve, voltage change, internal resistance test, etc., which is the basic data reflecting the inherent characteristics of the battery.

[0049] State of Charge (SOC) refers to the percentage of the current remaining capacity of the battery relative to the rated capacity, usually ranging from 0% to 100%, and is the core indicator of battery energy state.

[0050] Open-circuit voltage is the voltage across the battery when it is not connected to an external circuit and no current flows through it, and its value is directly related to SOC.

[0051] Equivalent internal resistance is a single resistance value that simplifies the ohmic resistance and polarization resistance inside the battery, reflecting the energy loss during charging and discharging of the battery. The smaller the internal resistance, the higher the energy conversion efficiency.

[0052] The first and second equivalent functions are SOC-open circuit voltage and SOC-equivalent internal resistance relationship expressions that can calculate the open circuit voltage or equivalent internal resistance at any SOC.

[0053] S12: Based on the first equivalent function, evaluate the adjustment potential of battery energy storage in different state of charge intervals, select the state of charge interval where all adjustment potentials meet the adjustment potential set value, and take the largest state of charge interval as the first feasible domain adjustment maximum interval. The adjustment potential is negatively correlated with the degree of change in open circuit voltage in the interval.

[0054] It should be noted that the adjustment potential refers to the ability of the battery to maintain stable voltage and meet the charging and discharging power demand within a specific SOC interval.

[0055] The adjustment potential set value is a preset adjustment capacity threshold based on grid regulation requirements (such as frequency regulation and peak regulation). Only the SOC interval with adjustment potential meeting this value limit has practical value.

[0056] The first feasible domain adjustment maximum interval is the interval with the widest range among all SOC intervals that meet the adjustment potential requirement, maximizing the battery's regulation flexibility.

[0057] S13: Based on the second equivalent function, calculate the equivalent internal resistance of battery energy storage in different state of charge intervals, select the state of charge interval where all internal resistances are equal, and take the largest state of charge interval as the second feasible domain adjustment maximum interval.

[0058] It should be noted that the state of charge interval with equal equivalent internal resistance refers to the interval where the equivalent internal resistance calculated by the SOC-equivalent internal resistance function (second equivalent function) is basically consistent (within the allowable range), indicating stable battery energy loss characteristics.

[0059] The second feasible domain adjustment maximum interval is the interval with the widest range among all SOC intervals that meet the equivalent internal resistance equal condition, ensuring consistent battery efficiency during regulation.

[0060] S14: taking the intersection of the first feasible region adjustment maximum interval and the second feasible region adjustment maximum interval as the feasible region adjustment maximum interval of the battery energy storage cluster.

[0061] It can be understood that the feasible region adjustment maximum interval is the common part of the first feasible region adjustment maximum interval and the second feasible region adjustment maximum interval.

[0062] S15: cooperatively regulating the battery energy storage cluster in the feasible region adjustment maximum interval.

[0063] It should be noted that the cooperative regulation refers to, for multiple battery devices in the battery energy storage cluster, allocating the charge and discharge power of each device according to a unified regulation target (such as tracking the power instruction of the power grid, maintaining the SOC balance of the cluster), to achieve the regulation mode of optimal overall performance of the cluster.

[0064] The embodiment provides a battery energy storage cluster cooperative regulation method considering regulation potential, which selects a feasible region maximum interval considering regulation potential and loss characteristics, and performs cooperative regulation based on the feasible region maximum interval, thereby accurately locking the safe interval of the battery energy storage cluster that truly has efficient regulation capability, solving the problem of insufficient potential excavation under the traditional equal division or rated capacity allocation mode, and enabling the support capacity of the cluster to be fully released through cooperative regulation in the interval, so that the new power system is more safely, stably and economically operated.

[0065] In an embodiment of the present application, the regulation potential is quantitatively described by using a regulation potential coefficient, and the calculation expression of the regulation potential coefficient is:

[0066] k(SOC x-y )=E(SOC x ) / E(SOC y )

[0067] In the formula, k(SOC x-y ) is the regulation potential coefficient of the battery energy storage state of charge between SOC x and SOC y , E(SOC x ) and E(SOC y ) are the open-circuit voltages corresponding to the battery energy storage state of charge SOC x and SOC y , respectively, 0≤SOC x ≤1, and 0≤SOC y ≤1.

[0068] Exemplarily, taking SOC1 and SOC2 as examples, SOC1 and SOC2 are different SOC states of the battery energy storage, and 0≤SOC1≤1, 0≤SOC2≤1, 0≤SOC n Accordingly, the first adjustment potential coefficient k1 of the battery energy storage is obtained:

[0069] k1(SOC 1-2 )=E(SOC1) / E(SOC2)

[0070] Wherein, E(SOC1) is the open circuit voltage value corresponding to the SOC1 state of the battery energy storage, E(SOC2) is the open circuit voltage value corresponding to the SOC2 state of the battery energy storage, and k1(SOC 1-2 ) is the first adjustment potential coefficient of the battery energy storage when the state of charge is between SOC1 and SOC2.

[0071] In a further embodiment of the present application, the adjustment potential of the battery energy storage under different state of charge intervals is evaluated based on the first equivalent function, and the state of charge intervals whose adjustment potential all meet the set value of the adjustment potential are screened out, including:

[0072] S21: The first adjustment potential coefficient of the battery energy storage under different state of charge intervals is calculated based on the first equivalent function;

[0073] S22: The state of charge interval is continuously adjusted until the first adjustment potential coefficient is equal to the maximum adjustment potential set value;

[0074] S23: The state of charge interval corresponding to the first adjustment potential coefficient less than or equal to the maximum adjustment potential set value is taken as the screened state of charge interval.

[0075] Exemplarily, when k1(SOC i1-i2 )≤k 1max , [SOC i1 , SOC i2 ] is the first feasible interval of the battery energy storage cluster considering the regulation potential, wherein k 1max is the maximum set value of the first adjustment potential coefficient of the battery energy storage;

[0076] When k1(SOC i2-i3 )>k 1max , [SOC i2 , SOC i3 ] cannot be taken as the first feasible interval of the battery energy storage cluster considering the regulation potential;

[0077] According to the above principle, the value of SOC i (the i-th group of SOC values) is continuously adjusted (wherein 0≤SOC i≤1), to obtain the maximum adjustable range of the first feasible region of the battery energy storage cluster taking into account the regulation potential [SOC] ix SOC iy ].

[0078] In this embodiment, all first adjustment potential coefficients are less than or equal to the maximum set value (e.g., k). 1max The state of charge range (e.g., k) of the battery energy storage first regulation potential coefficient (maximum set value). 1(SOCi1-i2) ≤k 1max [SOC] i1 SOC i2 The selected intervals are those with coefficients exceeding the maximum set value (e.g., k). 1(SOCi2-i3) >k 1max [SOC] i2 SOC i3 Based on this, the first feasible region for the adjustment of the battery energy storage cluster, considering its controllability potential, was ultimately determined to have a maximum adjustment range [SOC]. ix SOC iy ].

[0079] In a further embodiment of the present invention, the equivalent internal resistance of the battery energy storage under different states of charge intervals is calculated based on the second equivalent function, and all states of charge intervals in which the equivalent internal resistance is equal are selected, including:

[0080] S31: The equivalent internal resistance at both ends of the battery energy storage under different states of charge intervals is calculated based on the second equivalent function.

[0081] S32: Continuously adjust the state of charge range until the equivalent internal resistance at both ends is exactly equal;

[0082] S33: Select all charge state intervals with equal equivalent internal resistance at both ends as the selected charge state intervals.

[0083] For example, when R(SOC) i1 )=R(SOC i2 When [SOC] is in use, i1 SOC i2 [This refers to the second feasible adjustment range for battery energy storage clusters that takes into account regulation potential; R(SOC)] i1 ) and R(SOC i2 The battery's state of charge (SOC) is as follows: i1 and SOC i2 The equivalent internal resistance at that time.

[0084] When R(SOC) i2 )≠R(SOC i3 When [SOC] is in use, i2 SOCi3 This cannot be considered as a second feasible adjustment range for battery energy storage clusters that take into account regulation potential.

[0085] By continuously adjusting SOC i The values ​​of (where 0 ≤ SOC) are: i ≤1), thus obtaining the maximum adjustable range of the second feasible region [SOC] of the battery energy storage cluster, taking into account the regulation potential. im SOC in ].

[0086] In this embodiment, all charge state intervals with equal equivalent internal resistance at both ends (such as R(SOC)) are considered. i1 )=R(SOC i2 The corresponding [SOCi2, SOCi3] at time ) is used as the qualified interval to be screened. In this way, the second feasible region of the battery energy storage cluster with the potential for regulation is determined to have the maximum adjustable interval [SOCi2, SOCi3]. im SOC in ].

[0087] By using the feasible region determination method described in the above embodiments, the maximum feasible region for collaborative regulation of battery energy storage clusters that takes into account regulation potential can be obtained, and the feasible boundary for fully exploring the regulation potential of battery energy storage clusters can be clearly defined.

[0088] In one embodiment of the present invention, coordinated regulation of the battery energy storage cluster within the maximum feasible adjustment range includes:

[0089] When the state of charge of the battery energy storage cluster is within the maximum adjustable range of the feasible region, the state of charge of each battery energy storage is coordinated and controlled with the goal of minimizing the total loss of the battery energy storage cluster.

[0090] In this embodiment, the goal is to minimize the total loss of the cluster. This is achieved by coordinating the SOC target values ​​of each battery (for example, allowing batteries with lower internal resistance and better loss characteristics to undertake more adjustment tasks, while batteries with higher internal resistance participate less). This optimizes the loss at the cluster level, making full use of the adjustment potential within the feasible domain while also taking into account operational economy.

[0091] In one embodiment of the present invention, the coordinated regulation of the battery energy storage cluster within the maximum feasible adjustment range further includes:

[0092] When the state of charge of the battery energy storage cluster is not within the maximum range of the feasible adjustment, the state of charge of each battery energy storage is regulated according to the principle of unified state of charge.

[0093] In this embodiment, the SOC differences between the batteries are quickly eliminated by adjusting the SOC of all the batteries in the cluster to the same target value (such as a safe intermediate value in the feasible region, or an equalization value based on the average SOC of the cluster), so that all the batteries are synchronized to return to the safe regulation boundary.

[0094] In a further embodiment of the present application, the principle of uniform state of charge is to make the state of charge of each battery in the battery energy storage cluster consistent, i.e. A2 =……=SOC An , wherein SOC A1 , SOC A2 , …, SOC An are the states of charge of each battery in the battery energy storage cluster.

[0095] Based on the same inventive concept, the present application also provides a battery energy storage cluster coordinated regulation device for implementing the battery energy storage cluster coordinated regulation method considering regulation potential as described above. The implementation scheme of the problem-solving solution provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in the following battery energy storage cluster coordinated regulation device embodiments can be referred to the limitations of the battery energy storage cluster coordinated regulation method in the above text, which will not be repeated here.

[0096] Please refer to Figure 2 , the present application also provides a battery energy storage cluster coordinated regulation device considering regulation potential, comprising:

[0097] A function relationship determination module is configured to obtain a first equivalent function representing the relationship between the state of charge and the open circuit voltage, and a second equivalent function representing the relationship between the state of charge and the equivalent internal resistance, according to the factory test data of the battery energy storage.

[0098] A first feasible region regulation maximum interval determination module is configured to evaluate the regulation potential of the battery energy storage at different state of charge intervals based on the first equivalent function, filter out the state of charge intervals whose regulation potential all meet the set value of the regulation potential, and take the largest state of charge interval as the first feasible region regulation maximum interval; the regulation potential and the change degree of the open circuit voltage in the interval are in a negative correlation relationship.

[0099] A second feasible region regulation maximum interval determination module is configured to calculate the equivalent internal resistance of the battery energy storage at different state of charge intervals based on the second equivalent function, filter out the state of charge intervals whose equivalent internal resistance in all intervals are equal, and take the largest state of charge interval as the second feasible region regulation maximum interval.

[0100] The feasible region adjustment maximum interval determination module is configured to take the intersection of the first feasible region adjustment maximum interval and the second feasible region adjustment maximum interval as the feasible region adjustment maximum interval of the battery energy storage cluster.

[0101] The regulation module is configured to perform collaborative regulation on the battery energy storage cluster within the feasible region adjustment maximum interval.

[0102] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units and modules is exemplified, and in actual application, the above functions can be completed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit or module in the embodiment can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software functional unit. In addition, the specific name of each functional unit or module is only for convenient distinction, and does not limit the protection scope of the present application. The specific working process of the unit or module in the system can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0103] With reference to Figure 3 The embodiment of the present application also provides a computer device, which comprises a memory, a processor and a computer program stored in the memory, and when the computer program is executed on the processor, the computer program realizes the battery energy storage cluster collaborative regulation method considering regulation potential as any one of the above methods.

[0104] The computer device can be a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The computer device can include, but is not limited to, a processor and a memory. Those skilled in the art can understand that Figure 3 The computer device is only an example and does not constitute a limitation on the computer device, and can include more or fewer components than those shown, or combine some components or different components, for example, can also include an input / output device, a network access device and the like.

[0105] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0106] The memory can be an internal storage unit of the computer device in some embodiments, for example, a hard disk or a memory of the computer device. The memory can also be an external storage device of the computer device in other embodiments, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory can include both the internal storage unit and the external storage device of the computer device. The memory is used to store an operating system, an application program, a boot loader, data and other programs, for example, program codes of the computer program, etc. The memory can also be used to temporarily store data that has been output or will be output.

[0107] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program. When the computer program is run by a processor, the method for coordinated regulation of a battery energy storage cluster considering regulation potential is realized.

[0108] In the embodiment, the integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the present application can implement all or part of the processes in the above-described embodiment methods through a computer program to instruct relevant hardware to complete, and the computer program can be stored in a computer readable storage medium. The computer program is executed by a processor, and can implement the steps of each method embodiment described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer readable medium at least includes any entity or device capable of carrying the computer program code to the photographing device / terminal equipment, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, U disk, mobile hard disk, magnetic disk or optical disk, etc. In some jurisdictions, according to legislation and patent practice, the computer readable medium cannot be an electrical carrier signal and a telecommunication signal.

[0109] The embodiment of the present application provides a computer program product, including a computer program, which is executed by a processor to implement the battery energy storage cluster coordinated regulation method considering regulation potential as described in any of the above methods.

[0110] In the above-described embodiments, the description of each embodiment has its own focus, and the parts not described or recorded in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0111] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0112] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal device and method can be implemented in other manners. For example, the described apparatus / terminal device embodiments are merely schematic. For example, the division of the modules or units is merely logical function division. There can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0113] The foregoing embodiments are merely used to describe the technical solutions of the present application, but not limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced equivalently; and the modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for coordinated regulation of battery energy storage clusters that takes into account regulation potential, characterized in that, Includes the following steps: Based on the factory test data of battery energy storage, the first equivalent function representing the relationship between state of charge and open circuit voltage, and the second equivalent function representing the relationship between state of charge and equivalent internal resistance are obtained respectively. Based on the first equivalent function, the adjustment potential of battery energy storage under different states of charge intervals is evaluated, and all states of charge intervals whose adjustment potential meets the set adjustment potential value are selected. The largest state of charge interval is taken as the first feasible region with the largest adjustment range. The adjustment potential is negatively correlated with the degree of change of open circuit voltage within the interval. Based on the second equivalent function, the equivalent internal resistance of battery energy storage under different states of charge intervals is calculated, and all states of charge intervals with equal equivalent internal resistance within each interval are selected. The largest state of charge interval is then used as the second feasible region adjustment maximum interval. The intersection of the first feasible region maximum adjustment interval and the second feasible region maximum adjustment interval is taken as the feasible region maximum adjustment interval of the battery energy storage cluster. The battery energy storage cluster is coordinated and regulated within the maximum range of the feasible domain.

2. The battery energy storage cluster collaborative control method considering control potential according to claim 1, characterized in that, The adjustment potential is quantified using an adjustment potential coefficient, which is calculated as follows: k(SOC x-y )=E(SOC x ) / E(SOC y ) In the formula, k(SOC) x-y The battery's state of charge (SOC) is between [state of charge and state of charge]. x and SOC y The adjustment potential coefficient between them, E(SOC) x ) and E(SOC y The battery's state of charge (SOC) is as follows: x Time and SOC y The corresponding open-circuit voltage, 0≤SOC x ≤1, 0≤SOC y ≤1.

3. The battery energy storage cluster collaborative control method considering control potential according to claim 2, characterized in that, Based on the first equivalent function, the adjustment potential of battery energy storage under different states of charge (SOC) intervals is evaluated, and all SOC intervals in which the adjustment potential meets the set adjustment potential value are selected, including: The first adjustment potential coefficient of battery energy storage under different states of charge ranges is calculated based on the first equivalent function. Continuously adjust the state of charge range until the first regulation potential coefficient equals the maximum regulation potential set value; When the first adjustment potential coefficient is less than or equal to the maximum adjustment potential setting value, the corresponding state of charge intervals are selected as the state of charge intervals.

4. The battery energy storage cluster collaborative control method considering control potential according to claim 1, characterized in that, Based on the second equivalent function, the equivalent internal resistance of the battery energy storage under different states of charge intervals is calculated, and all states of charge intervals in which the equivalent internal resistance is equal are selected, including: The equivalent internal resistances at both ends of the battery energy storage are calculated based on the second equivalent function under different states of charge intervals, corresponding to the states of charge at both ends of the interval. The state of charge range is continuously adjusted until the equivalent internal resistance at both ends is exactly equal; All charge state intervals with equal equivalent internal resistance at both ends are selected as the charge state intervals to be screened.

5. The battery energy storage cluster collaborative control method considering control potential according to claim 1, characterized in that, Coordinated regulation of the battery energy storage cluster within the maximum adjustable range of the feasible region includes: When the state of charge of the battery energy storage cluster is within the maximum adjustable range of the feasible domain, the state of charge of each battery energy storage is coordinated and controlled with the goal of minimizing the total loss of the battery energy storage cluster.

6. The battery energy storage cluster collaborative control method considering control potential according to claim 5, characterized in that, Coordinated regulation of the battery energy storage cluster within the maximum adjustable range of the feasible region also includes: When the state of charge of the battery energy storage cluster is not within the maximum adjustable range of the feasible domain, the state of charge of each battery energy storage is regulated according to the principle of unified state of charge.

7. The battery energy storage cluster collaborative control method considering control potential according to claim 6, characterized in that, The principle of unified state of charge is to ensure that the state of charge of each battery in the battery energy storage cluster is consistent.

8. A battery energy storage cluster collaborative control device considering control potential, characterized in that, include: The function relationship determination module is used to obtain, based on the factory test data of battery energy storage, a first equivalent function representing the relationship between the state of charge and the open circuit voltage, and a second equivalent function representing the relationship between the state of charge and the equivalent internal resistance. The first feasible region adjustment maximum interval determination module is used to evaluate the adjustment potential of battery energy storage under different state of charge intervals based on the first equivalent function, screen out all state of charge intervals in which the adjustment potential meets the adjustment potential setting value, and take the largest state of charge interval as the first feasible region adjustment maximum interval; the adjustment potential is negatively correlated with the degree of change of open circuit voltage within the interval. The second feasible region adjustment maximum interval determination module is used to calculate the equivalent internal resistance of battery energy storage under different state of charge intervals based on the second equivalent function, filter out all state of charge intervals in which the equivalent internal resistance is equal, and take the largest state of charge interval as the second feasible region adjustment maximum interval. The feasible region adjustment maximum interval determination module is used to take the intersection of the first feasible region adjustment maximum interval and the second feasible region adjustment maximum interval as the feasible region adjustment maximum interval of the battery energy storage cluster. The control module is used to coordinate and control the battery energy storage cluster within the maximum adjustable range of the feasible domain.

9. A computer device, characterized in that, The device includes a processor and a memory: The memory is used to store computer programs and send the instructions of the computer programs to the processor; The processor executes, according to the instructions of the computer program, a collaborative control method for battery energy storage clusters that takes into account control potential, as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements a battery energy storage cluster collaborative control method that takes into account control potential, as described in any one of claims 1-7.

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