Aggregation potential assessment method, device, equipment and medium for distributed battery energy storage

Abstract

The present invention discloses a method, device, equipment and medium for evaluating the aggregation potential of distributed battery energy storage, the method comprising: determining the charge and discharge limit time of each battery energy storage based on the charge and discharge rate characteristics of the battery energy storage; then summing the charge and discharge limit times of all battery energy storages as the power factor aggregation potential evaluation value of the distributed battery energy storage; determining the chargeable capacity and dischargeable capacity of each battery energy storage based on the current state of charge of the battery energy storage; then summing the chargeable capacity and dischargeable capacity of all battery energy storages as the capacity factor aggregation potential evaluation value of the distributed battery energy storage. The present invention evaluates the aggregation potential of distributed battery energy storage from the two aspects of power and capacity, and provides theoretical and technical support for improving the application value of distributed battery energy storage in power grids containing renewable energy.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage technology application and evaluation, and specifically relates to a method, device, equipment and medium for evaluating the aggregation potential of distributed battery energy storage. Background Art

[0002] In recent years, a large number of distributed renewable energy sources have been connected to the power grid. The randomness and uncertainty of their output have brought stability problems to the planning and operation of the power grid. At the same time, with the rapid growth of economic load and the increasing peak-to-valley difference, the demand for flexible and adjustable resources in the power grid has rapidly expanded. Energy storage technology has attracted much attention as an effective flexible adjustment resource.

[0003] With the development of energy storage technology, the installation and utilization of distributed energy storage in the power grid has formed a certain scale, but the current distributed energy storage access and output have the characteristics of decentralized layout and poor controllability, lack of effective evaluation and scheduling means, if it is allowed to operate spontaneously, its independent and disorderly operation will not help improve the frequency, voltage and power quality of the power grid, and also cause a large waste of energy storage resources. Reasonable planning of distributed energy storage and regulating its coordinated operation with distributed power sources and loads can not only reduce the capacity of the distribution network by peak shaving and valley filling, but also make up for the negative impact of the randomness of distributed output on the safety and economic operation of the power grid. Furthermore, through the formation of large-scale convergence effect through multi-point distributed energy storage, actively and effectively facing the power grid application, participating in auxiliary services such as power grid peak regulation, frequency regulation and voltage regulation, it will effectively improve the safety level and operation efficiency of the power grid. Therefore, it is of great significance to evaluate the potential of energy storage aggregation, effectively match the application scenarios of energy storage, and plan and utilize and give full play to the beneficial energy efficiency of energy storage. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for evaluating the aggregation potential of distributed battery energy storage. Combining the charge and discharge rate characteristics and operating parameters of different types of battery energy storage, the aggregation potential of distributed battery energy storage is evaluated from two aspects of power and capacity, providing theoretical and technical support for improving the application value of distributed battery energy storage in power grids containing renewable energy.

[0005] In order to achieve the above technical objectives, the present invention adopts the following technical solutions:

[0006] A method for evaluating the aggregation potential of distributed battery energy storage, comprising:

[0007] Based on the charge and discharge rate characteristics of battery energy storage, determine the maximum charge and discharge time of each battery energy storage; then sum the maximum charge and discharge time of all battery energy storage as the power factor aggregation potential assessment value of distributed battery energy storage;

[0008] Based on the current state of charge of the battery energy storage, the chargeable capacity and dischargeable capacity of each battery energy storage are determined; then the sum of the chargeable capacity and the sum of the dischargeable capacity of all battery energy storage are calculated as the capacity factor aggregation potential assessment value of the distributed battery energy storage.

[0009] Furthermore, when determining the chargeable limit time of the battery energy storage, different calculation formulas are used according to the charge and discharge rate characteristics of the battery energy storage:

[0010] If the charge and discharge rate of the battery energy storage is n∈[0,m1], and the maximum charge and discharge rate is m1≤1, it means that the battery energy storage belongs to Class A without rate, and the maximum charge and discharge power is m1×P rate , then the limit time of charge and discharge is E rate The rated capacity of the battery energy storage;

[0011] If the charge and discharge rate of the battery energy storage is n∈[0,m2], and the maximum charge and discharge rate is 1<m2≤2, it means that the battery energy storage belongs to Class B low rate, and the maximum charge and discharge power is m2×P rate , then the limit time of charge and discharge is

[0012] If the charge and discharge rate of the battery energy storage is n∈[0,m3], and the maximum charge and discharge rate is m3>2, it means that the battery energy storage belongs to Class C high rate, and the maximum charge and discharge power is m3×P rate ×1.1 n-1 , then the limit time of charge and discharge is

[0013] Furthermore, the calculation formula for the rechargeable capacity of each battery energy storage is:

[0014] E charge =E rate ×(SOC max -SOC)

[0015] In the formula, E charge is the rechargeable capacity of the battery energy storage, E rate is the rated capacity of the battery energy storage, SOC max It is the upper limit of the state of charge of the battery energy storage, and SOC is the current value of the state of charge of the battery energy storage.

[0016] Furthermore, the calculation formula for the dischargeable capacity of each battery energy storage is:

[0017] E discharge =E rate ×(SOC-SOC min )

[0018] In the formula, E discharge is the discharge capacity of the battery energy storage, Erate is the rated capacity of the battery energy storage, SOC min It is the lower limit of the state of charge of the battery energy storage, and SOC is the current value of the state of charge of the battery energy storage.

[0019] An aggregation potential assessment device for distributed battery energy storage, comprising a power factor aggregation potential assessment module and a capacity factor aggregation potential assessment module;

[0020] The power factor aggregation potential evaluation module is used to: determine the charge and discharge limit time of each battery energy storage based on the charge and discharge rate characteristics of the battery energy storage; and then sum the charge and discharge limit times of all battery energy storages as the power factor aggregation potential evaluation value of the distributed battery energy storage;

[0021] The capacity factor aggregation potential assessment module is used to: determine the chargeable capacity and dischargeable capacity of each battery energy storage based on the current state of charge of the battery energy storage; and then sum the chargeable capacity and dischargeable capacity of all battery energy storage as the capacity factor aggregation potential assessment value of the distributed battery energy storage.

[0022] Furthermore, the power factor aggregation potential assessment module uses different calculation formulas according to the charge and discharge rate characteristics of the battery energy storage when determining the chargeable limit time of the battery energy storage:

[0023] If the charge and discharge rate of the battery energy storage is n∈[0,m1], and the maximum charge and discharge rate is m1≤1, it means that the battery energy storage belongs to Class A without rate, and the maximum charge and discharge power is m1×P rate , then the limit time of charge and discharge is E rate The rated capacity of the battery energy storage;

[0024] If the charge and discharge rate of the battery energy storage is n∈[0,m2], and the maximum charge and discharge rate is 1<m2≤2, it means that the battery energy storage belongs to Class B low rate, and the maximum charge and discharge power is m2×P rate , then the limit time of charge and discharge is

[0025] If the charge and discharge rate of the battery energy storage is n∈[0,m3], and the maximum charge and discharge rate is m3>2, it means that the battery energy storage belongs to Class C high rate, and the maximum charge and discharge power is m3×P rate ×1.1 n-1 , then the limit time of charge and discharge is Furthermore, in the capacity factor aggregation potential assessment module, the calculation formula for calculating the chargeable capacity and dischargeable capacity of each battery energy storage is:

[0026] E charge =E rate ×(SOC max-SOC)

[0027] E discharge =E rate ×(SOC-SOC min )

[0028] In the formula, E charge is the rechargeable capacity of the battery energy storage, E discharge is the discharge capacity of the battery energy storage, E rate is the rated capacity of the battery energy storage, SOC is the current value of the battery energy storage state, SOC max The upper limit of the state of charge of the battery energy storage, SOC min It is the lower limit of the state of charge of the battery energy storage.

[0029] An electronic device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor implements the method for evaluating the aggregation potential of distributed battery energy storage described in any of the above technical solutions.

[0030] A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for evaluating the aggregation potential of distributed battery energy storage described in any of the above technical solutions is implemented.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The method, device, equipment and medium for evaluating the aggregation potential of distributed battery energy storage provided by the present invention evaluate the aggregation application potential of distributed battery energy storage in the power grid from the perspective of power value and capacity value, and provide further support for the mining of operating scenarios of distributed battery energy storage. From the perspective of the differences in the rate characteristics of different batteries, the present invention estimates the power-time aggregation potential effect of distributed battery energy storage on the one hand, and estimates the chargeable and dischargeable capacity of distributed energy storage by using the real-time charge state of all battery energy storage on the other hand, quantifies the application space and potential of the power and capacity of distributed battery energy storage, and provides a basis for matching its application scenarios in the power grid, alleviating the problem of lack of flexible resources in the operation of the power system, effectively improving the problem of grid operation stability, and increasing the margin for safe and stable operation of the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A flowchart of the method according to an embodiment of the present invention;

[0034] Figure 2 A schematic diagram of power-time curves of three types of battery energy storage, A, B, and C, provided in an embodiment of the present invention;

[0035] Figure 3A schematic diagram of the power-time curve of the same type of battery energy storage aggregation is provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] The following is a detailed description of an embodiment of the present invention. This embodiment is based on the technical solution of the present invention, and provides a detailed implementation method and a specific operation process to further explain the technical solution of the present invention.

[0037] This embodiment provides a method for evaluating the aggregation potential of distributed battery energy storage, including:

[0038] 1. Based on the charge and discharge rate characteristics of battery energy storage, determine the maximum charge and discharge time of each battery energy storage; then sum the maximum charge and discharge time of all battery energy storage as the power factor aggregation potential assessment value of distributed battery energy storage.

[0039] When determining the charging limit time of battery energy storage, different calculation formulas are used according to the charge and discharge rate characteristics of the battery energy storage:

[0040] If the charge and discharge rate of the battery energy storage is n∈[0,m1], and the maximum charge and discharge rate is m1≤1, it means that the battery energy storage belongs to Class A without rate, and the maximum charge and discharge power is m1×P rate , then the limit time of charge and discharge is E rate is the rated capacity of the battery energy storage, and the power-time curve is as follows Figure 2 As shown;

[0041] If the charge and discharge rate of the battery energy storage is n∈[0,m2], and the maximum charge and discharge rate is 1<m2≤2, it means that the battery energy storage belongs to Class B low rate, and the maximum charge and discharge power is m2×P rate , then the limit time of charge and discharge is The power-time curve is as follows Figure 2 As shown;

[0042] If the charge and discharge rate of the battery energy storage is n∈[0,m3], and the maximum charge and discharge rate is m3>2, it means that the battery energy storage belongs to Class C high rate, and the maximum charge and discharge power is m3×P rate ×1.1 n-1 , then the limit time of charge and discharge is The power-time curve is as follows Figure 2 shown.

[0043] If the distributed battery energy storage includes n Class A non-rate battery energy storage, the sum of the charging and discharging limit time of the distributed battery energy storage is: T rate_A =T rate_A1 +…+T rate_Ai +…T rate_An , T rate_Aiis the charge and discharge limit time of the i-th Class A non-rate battery energy storage; the power-time curve is as follows Figure 3 As shown;

[0044] If the distributed battery energy storage includes n low-rate battery energy storages of Class B, the sum of the maximum charge and discharge times of the distributed battery energy storage is: T rate_B =T rate_B1 +…+T rate_Bi +…T rate_Bn , T rate_Bi is the charge and discharge limit time of the i-th Class B low-rate battery energy storage; the power-time curve is as follows Figure 3 As shown;

[0045] If the distributed battery energy storage includes n high-rate battery energy storages of Class C, the sum of the maximum charge and discharge times of the distributed battery energy storage is: T rate_C =T rate_C1 +…+T rate_Ci +…T rate_Cn , T rate_Ci is the charge and discharge limit time of the i-th Class C high-rate battery energy storage; the power-time curve is as follows Figure 3 As shown;

[0046] If the distributed battery energy storage includes several Class A no-rate battery energy storage and several Class B low-rate battery energy storage, the sum of the maximum charge and discharge time of the distributed battery energy storage is: T rate_AB =T rate_A +T rate_B , T rate_A T is the sum of the maximum charge and discharge times of all Class A non-rate battery energy storage in distributed battery energy storage. rate_B It is the sum of the maximum charge and discharge times of all Class B low-rate battery energy storage in distributed battery energy storage;

[0047] If the distributed battery energy storage includes several Class A no-rate battery energy storage and several Class C high-rate battery energy storage, the sum of the maximum charge and discharge time of the distributed battery energy storage is: T rate_AC =T rate_A +T rate_C , T rate_A T is the sum of the maximum charge and discharge times of all Class A non-rate battery energy storage in distributed battery energy storage. rate_C It is the sum of the maximum charge and discharge times of all Class C high-rate battery energy storage in distributed battery energy storage;

[0048] If the distributed battery energy storage includes several low-rate battery energy storages belonging to Class B and several high-rate battery energy storages belonging to Class C, the sum of the charge and discharge limit time of the distributed battery energy storage is: T rate_BC=T rate_B +T rate_C , T rate_B T is the sum of the maximum charge and discharge times of all Class B low-rate battery energy storage in distributed battery energy storage. rate_C It is the sum of the maximum charge and discharge times of all Class C high-rate battery energy storage in distributed battery energy storage;

[0049] If the distributed battery energy storage includes several battery energy storages with no rate belonging to Class A, several battery energy storages with low rate belonging to Class B, and several battery energy storages with high rate belonging to Class C, then the sum of the charging and discharging limit time of the distributed battery energy storage is: T rate_ABC =T rate_A +T rate_B +T rate_C , T rate_A T is the sum of the maximum charge and discharge times of all Class A non-rate battery energy storage in distributed battery energy storage. rate_B T is the sum of the maximum charge and discharge times of all Class B low-rate battery energy storage in distributed battery energy storage. rate_C It is the sum of the maximum charge and discharge times of all Class C high-rate battery energy storage in distributed battery energy storage.

[0050] 2. Based on the current state of charge of the battery energy storage, determine the rechargeable capacity and dischargeable capacity of each battery energy storage; then sum the rechargeable capacity and dischargeable capacity of all battery energy storage as the capacity factor aggregation potential assessment value of the distributed battery energy storage.

[0051] The calculation formula for the chargeable capacity and dischargeable capacity of each battery energy storage is:

[0052] E charge =E rate ×(SOC max -SOC)

[0053] E discharge =E rate ×(SOC-SOC min )

[0054] In the formula, E charge is the rechargeable capacity of the battery energy storage, E discharge is the discharge capacity of the battery energy storage, E rate is the rated capacity of the battery energy storage, SOC is the current value of the battery energy storage state, SOC max The upper limit of the state of charge of the battery energy storage, SOC min It is the lower limit of the state of charge of the battery energy storage.

[0055] Therefore, the rechargeable capacity and dischargeable capacity of all battery energy storage can be summed up to obtain the rechargeable capacity E of distributed battery energy storage. total_charge and discharge capacity E total_discharge :

[0056] E total_charge =E charge_1 +…+E charge_i +…+E charge_n

[0057] E total_discharge =E discharge_1 +…+E discharge_i +…+E discharge_n

[0058] In the formula, E charge_i and E discharge_i are the chargeable capacity and dischargeable capacity of the i-th battery energy storage respectively.

[0059] This embodiment obtains the power factor aggregation potential evaluation value and the capacity factor aggregation potential evaluation value (including rechargeable capacity and dischargeable capacity) of the distributed battery energy storage, which can be used as the aggregation characteristics of the distributed battery energy storage, and provide a supporting basis for the application scenario planning and coordination of the distributed battery energy storage in the power grid.

[0060] The present invention also provides an aggregation potential assessment device for distributed battery energy storage, including a power factor aggregation potential assessment module and a capacity factor aggregation potential assessment module;

[0061] The power factor aggregation potential evaluation module is used to: determine the charge and discharge limit time of each battery energy storage based on the charge and discharge rate characteristics of the battery energy storage; and then sum the charge and discharge limit times of all battery energy storages as the power factor aggregation potential evaluation value of the distributed battery energy storage;

[0062] The capacity factor aggregation potential assessment module is used to: determine the chargeable capacity and dischargeable capacity of each battery energy storage based on the current state of charge of the battery energy storage; and then sum the chargeable capacity and dischargeable capacity of all battery energy storage as the capacity factor aggregation potential assessment value of the distributed battery energy storage.

[0063] The specific algorithms of each module are the same as those in the aforementioned distributed battery energy storage aggregation potential assessment method embodiment, and will not be repeated here.

[0064] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor implements the method for evaluating the aggregation potential of distributed battery energy storage described in the above embodiment.

[0065] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for evaluating the aggregation potential of distributed battery energy storage described in the above embodiment.

[0066] The above embodiments are preferred embodiments of the present application. Ordinary technicians in this field can also make various changes or improvements on this basis. Without departing from the overall concept of the present application, these changes or improvements should fall within the scope of protection required by the present application.

Claims

1. A method for evaluating the aggregation potential of distributed battery energy storage, characterized in that: include: Based on the charge and discharge rate characteristics of battery energy storage, determine the maximum charge and discharge time of each battery energy storage; Then the maximum charge and discharge time of all battery energy storage is summed up as the power factor aggregation potential evaluation value of distributed battery energy storage; Determine the chargeable capacity and dischargeable capacity of each battery energy storage based on the current state of charge of the battery energy storage; Then the rechargeable capacity and dischargeable capacity of all battery energy storage are summed up as the capacity factor aggregation potential assessment value of distributed battery energy storage; When determining the charging limit time of battery energy storage, different calculation formulas are used according to the charge and discharge rate characteristics of the battery energy storage: If the charge and discharge rate of the battery energy storage is n∈[0,m1], and the maximum charge and discharge rate is m1≤1, it means that the battery energy storage belongs to Class A without rate, and the maximum charge and discharge power is m1×P rate , then the limit time of charge and discharge is E rate The rated capacity of the battery energy storage; If the charge and discharge rate of the battery energy storage is n∈[0,m2], and the maximum charge and discharge rate is 1<m2≤2, it means that the battery energy storage belongs to Class B low rate, and the maximum charge and discharge power is m2×P rate , then the limit time of charge and discharge is If the charge and discharge rate of the battery energy storage is n∈[0,m3], and the maximum charge and discharge rate is m3>2, it means that the battery energy storage belongs to Class C high rate, and the maximum charge and discharge power is m3×P rate ×1.1 n-1 , then the limit time of charge and discharge is The calculation formula for the rechargeable capacity of each battery energy storage is: IN charge =E rate ×(SOC max -SOC) In the formula, E charge is the rechargeable capacity of the battery energy storage, E rate is the rated capacity of the battery energy storage, SOC max is the upper limit of the state of charge of the battery energy storage, and SOC is the current value of the state of charge of the battery energy storage; The calculation formula for the dischargeable capacity of each battery energy storage is: IN discharge =E rate ×(SOC-SOC min ) In the formula, E discharge is the discharge capacity of the battery energy storage, E rate is the rated capacity of the battery energy storage, SOC min It is the lower limit of the state of charge of the battery energy storage, and SOC is the current value of the state of charge of the battery energy storage.

2. A distributed battery energy storage aggregation potential assessment device, characterized in that: It includes a power factor aggregation potential assessment module and a capacity factor aggregation potential assessment module; The power factor aggregation potential evaluation module is used to: determine the charge and discharge limit time of each battery energy storage based on the charge and discharge rate characteristics of the battery energy storage; and then sum the charge and discharge limit times of all battery energy storages as the power factor aggregation potential evaluation value of the distributed battery energy storage; The capacity factor aggregation potential assessment module is used to: determine the chargeable capacity and dischargeable capacity of each battery energy storage based on the current state of charge of the battery energy storage; and then sum the chargeable capacity and dischargeable capacity of all battery energy storage as the capacity factor aggregation potential assessment value of the distributed battery energy storage; The power factor aggregation potential assessment module uses different calculation formulas according to the charge and discharge rate characteristics of the battery energy storage when determining the chargeable limit time of the battery energy storage: If the charge and discharge rate of the battery energy storage is n∈[0,m1], and the maximum charge and discharge rate is m1≤1, it means that the battery energy storage belongs to Class A without rate, and the maximum charge and discharge power is m1×P rate , then the limit time of charge and discharge is E rate The rated capacity of the battery energy storage; If the charge and discharge rate of the battery energy storage is n∈[0,m2], and the maximum charge and discharge rate is 1<m2≤2, it means that the battery energy storage belongs to Class B low rate, and the maximum charge and discharge power is m2×P rate , then the limit time of charge and discharge is If the charge and discharge rate of the battery energy storage is n∈[0,m3], and the maximum charge and discharge rate is m3>2, it means that the battery energy storage belongs to Class C high rate, and the maximum charge and discharge power is m3×P rate ×1.1 n-1 , then the limit time of charge and discharge is In the capacity factor aggregation potential assessment module, the calculation formula for calculating the chargeable capacity and dischargeable capacity of each battery energy storage is: IN charge =E rate ×(SOC max -SOC) IN discharge =E rate ×(SOC-SOC min ) In the formula, E charge is the rechargeable capacity of the battery energy storage, E discharge is the discharge capacity of the battery energy storage, E rate is the rated capacity of the battery energy storage, SOC is the current value of the battery energy storage state, SOC max The upper limit of the state of charge of the battery energy storage, SOC min It is the lower limit of the state of charge of the battery energy storage.

3. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the computer program is executed by the processor, the processor is caused to implement the method according to claim 1 .

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to claim 1 is implemented.

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