Energy storage configuration method and system for industrial electricity, electronic equipment and storage medium

Abstract

The invention discloses an energy storage configuration method and system for industrial electricity, electronic equipment and a storage medium, and relates to the technical field of industrial and commercial energy storage design. The target maximum demand capacity is the maximum demand capacity of the transformer required by the preset industrial power utilization area when the energy storage system is configured for the preset industrial power utilization area and the power utilization load is increased in the preset industrial power utilization area; when the increased power of the preset industrial power utilization area is the power utilization load of the production-expansion capacity-increase power, according to the principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power utilization area, combining with the calculation formula of the target maximum demand capacity; and calculating to obtain the minimum power of the energy storage system configured for the preset industrial power utilization area. By reasonably configuring the energy storage system, capacity expansion and transformation of the transformer can be avoided to a certain extent, and the cost is reduced.

Description

Background Art

[0002] At present, after the expansion of industrial parks, the electricity load will increase, and the maximum capacity demand of transformers used in industrial parks will increase, and the transformers need to be expanded and renovated. At this time, new large-capacity transformers need to be purchased and installed again to meet the electricity needs of the industrial parks, increasing the renovation costs. Summary of the invention

[0003] The technical problem to be solved by the present invention is to address the deficiencies of the prior art and specifically provide an energy storage configuration method, system, electronic device and storage medium for industrial electricity, as follows:

[0004] 1) In the first aspect, the present invention provides an energy storage configuration method for industrial electricity, and the specific technical solution is as follows:

[0005] Determine the calculation formula for the target maximum demand capacity, which is: when the energy storage system is configured for the preset industrial power consumption area and the power load of the preset industrial power consumption area is increased, the maximum demand capacity of the transformer required by the preset industrial power consumption area;

[0006] When the power increase in the preset industrial power consumption area is the power load for expanding production and increasing capacity, the minimum power of the energy storage system configured for the preset industrial power consumption area is calculated based on the principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power consumption area, and combined with the calculation formula of the target maximum demand capacity.

[0007] The beneficial effects of the energy storage configuration method for industrial electricity provided by the present invention are as follows:

[0008] By rationally configuring the energy storage system, the expansion and transformation of the transformer can be avoided to a certain extent, thus reducing costs.

[0009] On the basis of the above scheme, the energy storage configuration method for industrial electricity of the present invention can also be improved as follows.

[0010] Furthermore, the target maximum required capacity is calculated as:

[0011]

[0012] Among them, S a1 represents the target maximum demand capacity, Ps represents the stable load of the preset industrial power consumption area, Pa represents the power of the increased power load in the preset industrial power consumption area, Pb represents the power of the energy storage system, PF1 represents the power factor of the energy storage system, and Kd represents the dynamic power coefficient of the transformer actually used in the preset industrial power consumption area.

[0013] Furthermore, it also includes:

[0014] The target charging and discharging strategy of the energy storage system is determined based on the distribution of dynamic power operation time periods in the preset industrial power consumption area.

[0015] Furthermore, it also includes:

[0016] According to the target charging and discharging strategy of the energy storage system, the energy storage capacity of the energy storage system is calculated.

[0017] 2) In the second aspect, the present invention also provides an energy storage configuration system for industrial electricity, and the specific technical solution is as follows:

[0018] It includes a maximum demand capacity calculation module and a minimum power determination module;

[0019] The maximum demand capacity calculation module is used to: determine the calculation formula of the target maximum demand capacity, the target maximum demand capacity is: when the energy storage system is configured for the preset industrial power consumption area and the power load of the preset industrial power consumption area is increased, the maximum demand capacity of the transformer required by the preset industrial power consumption area;

[0020] The minimum power determination module is used to: when the power increase in the preset industrial power consumption area is the power load for expanding production and increasing capacity, the minimum power of the energy storage system configured for the preset industrial power consumption area is calculated based on the principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power consumption area, and combined with the calculation formula of the target maximum demand capacity.

[0021] Based on the above solution, the energy storage configuration system for industrial electricity of the present invention can also be improved as follows.

[0022] Furthermore, the target maximum required capacity is calculated as:

[0023]

[0024] Among them, S a1 represents the target maximum demand capacity, Ps represents the stable load of the preset industrial power consumption area, Pa represents the power of the increased power load in the preset industrial power consumption area, Pb represents the power of the energy storage system, PF1 represents the power factor of the energy storage system, and Kd represents the dynamic power coefficient of the transformer actually used in the preset industrial power consumption area.

[0025] Furthermore, it also includes a charging and discharging strategy determination module, which is used to determine the target charging and discharging strategy of the energy storage system according to the distribution of dynamic power operation time periods in a preset industrial power consumption area.

[0026] Furthermore, it also includes an energy storage capacity calculation module, which is used to calculate the energy storage capacity of the energy storage system according to the target charging and discharging strategy of the energy storage system.

[0027] 3) In a third aspect, the present invention further provides an electronic device, comprising a processor, the processor being coupled to a memory, the memory storing at least one computer program, the at least one computer program being loaded and executed by the processor, so that the electronic device implements any of the above-mentioned industrial electricity energy storage configuration methods.

[0028] 4) In a fourth aspect, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is loaded and executed by a processor so that the computer implements any of the above-mentioned industrial electricity energy storage configuration methods.

[0029] It should be noted that the beneficial effects achieved by the technical solutions of the second to fourth aspects of the present invention and the corresponding possible implementation methods can be found in the above-mentioned technical effects of the first aspect and its corresponding possible implementation methods, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0031] Figure 1 A schematic flow chart of an energy storage configuration method for industrial electricity according to an embodiment of the present invention;

[0032] Figure 2 A schematic diagram showing the time-of-use electricity price division for large industrial electricity consumption;

[0033] Figure 3 A schematic diagram of the structure of an energy storage configuration system for industrial electricity use according to an embodiment of the present invention;

[0034] Figure 4 The figure is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0036] like Figure 1 As shown, a method for configuring energy storage for industrial electricity according to an embodiment of the present invention comprises the following steps:

[0037] S1. Determine a calculation formula for the target maximum required capacity, where the target maximum required capacity is: the maximum required capacity of the transformer required for the preset industrial power consumption area when the energy storage system is configured for the preset industrial power consumption area and the power load of the preset industrial power consumption area is increased;

[0038] The calculation formula for the target maximum required capacity is:

[0039]

[0040] Among them, S a1 represents the target maximum demand capacity, Ps represents the stable load of the preset industrial power consumption area, Pa represents the power of the increased power load in the preset industrial power consumption area, Pb represents the power of the energy storage system, PF1 represents the power factor of the energy storage system, and Kd represents the dynamic power coefficient of the transformer actually used in the preset industrial power consumption area.

[0041] Among them, the preset industrial electricity consumption area can be an industrial park, etc., which can be set according to actual conditions.

[0042] S2. When the power added to the preset industrial power consumption area is the power load for capacity expansion, the minimum power of the energy storage system configured for the preset industrial power consumption area is calculated based on the principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power consumption area, and combined with the calculation formula of the target maximum demand capacity.

[0043] Before adding power load in the preset industrial power consumption area, use Sp = (Ps + Ps × Kd) / PF1 to calculate the maximum required capacity Sp of the transformer required in the preset industrial power consumption area. According to the transformer configuration principle, Sp < S r1 , where S r1 Indicates the rated power of the transformer actually used in the preset industrial power consumption area;

[0044] When the power load in the preset industrial power consumption area increases, S a2 =(Ps+Pa+(Ps+Pa)×Kd) / PF2 calculates the maximum required capacity of the transformer required for the preset industrial power consumption area, where PF2 represents the power factor of the transformer actually used in the preset industrial power consumption area.

[0045] When S a2 >S r1 When the transformer actually used in the preset industrial power consumption area needs to be expanded and renovated, a new large-capacity transformer needs to be purchased and installed again, and the rated capacity of the new large-capacity transformer is S r2 Greater than S a2 , to meet the electricity demand of the preset industrial power consumption area, which will increase the transformation and renovation cost.

[0046] The present invention adds a matching energy storage system as a grid-connected AC power source, combines the original power grid to supply power to the preset industrial power consumption area, and calculates the minimum power of the energy storage system configured for the preset industrial power consumption area through S2. Specifically:

[0047] 1) The principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power consumption area is: S a1 <S r1 ;

[0048] 2) By The minimum power of the energy storage system configured for the preset industrial power consumption area is calculated, where the expansion power is substituted into Pa.

[0049] Optionally, bring the minimum power into It is possible to determine the maximum value of the power of the increased power load in the preset industrial power consumption area. That is to say, when the power of the increased power load in the preset industrial power consumption area is not greater than the maximum value of the power of the increased power load in the preset industrial power consumption area, a matching energy storage system can be added as a grid-connected AC power source, combined with the original power grid to supply power to the preset industrial power consumption area, which can avoid the expansion and transformation of the transformer to a certain extent and reduce costs.

[0050] Optionally, in the above technical solution, it also includes:

[0051] S3. Determine the target charging and discharging strategy of the energy storage system according to the distribution of the dynamic power operation time period of the preset industrial power consumption area.

[0052] Large industrial electricity consumption adopts time-of-use electricity prices, with peak (spike) time as Tp, normal time as Tc, and low-peak time as Tl. According to the time-of-use electricity prices of various provinces and cities, peak (spike) time is mainly distributed in the evening, normal time is mainly distributed during the day, and low-peak time is mainly distributed at night.

[0053] Optionally, in the above technical solution, it also includes:

[0054] S4. Calculate the energy storage capacity of the energy storage system according to the target charging and discharging strategy of the energy storage system.

[0055] Considering the impact of time-of-use electricity prices on the charging and discharging of the energy storage system, the dynamic power Pd is set to work in the peak (spike) time periods as Tp-d, Tc-d and Tl-d. When the dynamic power occurs in the peak (spike) and normal time period Tc, the peak-valley arbitrage and demand management modes are considered. When the dynamic power occurs in the valley period, the peak-valley arbitrage is not considered.

[0056] Considering the time distribution of time-sharing electricity prices, the energy storage system charging and discharging strategy can be divided into one charge and one discharge or two charges and two discharges. One charge and N discharges are: valley charge and peak (sharp, flat) discharge. Two charges and N discharges are valley charge and peak (flat) discharge or flat charge and peak discharge. The dynamic power discharge duration after the first charge (at night) is Ta, the daytime valley (flat) electricity price duration is Tb, and the dynamic power discharge duration after the second charge (daytime) is Tc. The one charge and one discharge mode is adopted in areas where there is no valley period during the day or the difference between the peak and flat electricity prices is not large.

[0057] An interval analysis is performed based on the duration of each period of the time-of-use electricity price and the duration of each period of the dynamic load, and the energy storage capacity Sb under various working conditions is obtained.

[0058] Under the one-charge-N-discharge condition, the energy storage capacity Sb is calculated using the first formula. Under the two-charge-N-discharge condition, the energy storage capacity Sb is calculated using the second formula or the fourth formula, as follows:

[0059] The first formula is: Sb=Pb×(Tp-d+Tc-d+Tl-d); when Tb≥Ta≥Tc, the second formula is Sb=Pb×(Ta+Tl-d); when Ta≥Tb=Tc, the second formula is Sb=Pb×(Ta+Tl-d); when Tb≤Ta and Tb≤Tc, the second formula is: Sb=Pb×(Ta+Tc-Tb+Tl-d).

[0060] Taking an industrial park in a certain province as an example, the invention is explained.

[0061] The distribution voltage level of the industrial park is 10kV, and the rated capacity of the transformer used for distribution is 1000kVA, that is, S r1 The power of the industrial park is 1000kVA. According to the provincial electricity purchasing price list, the maximum demand price of the industrial park is 48 yuan / kW per month, the transformer capacity price is 30 yuan / kW per month, the stable load power of the industrial park is 700kW, that is, Ps is 700kW, the power factor of the low-voltage side of the transformer is 0.9, that is, PF2 is 0.9, and the dynamic power is calculated based on the 20% fluctuation of the stable load power, that is, Kd is 20%. The load rate of the transformer in the low period is 30%. Now the scale of production in the industrial park is expanding, and it is necessary to increase the power load of 300kW, that is, Pa is 300kW. According to the above information, the following results can be listed:

[0062] 1) Before increasing the power load in the preset industrial power consumption area, the maximum required capacity Sp (in kVA) of the transformer required in the preset industrial power consumption area is:

[0063] Sp=(Ps+Ps×Kd) / PF1=(700+700×20%) / 0.9=933.3

[0064] 2) Before increasing the power load, if the electricity charge is calculated based on demand, the calculated electricity charge (also called demand charge) = 48×933.3=44798.4 yuan. If it is calculated based on capacity, the calculated electricity charge (also called capacity charge) = 30×1000=30000 yuan. It can be seen that the capacity charge is more economical.

[0065] 3) When the power load in the preset industrial power consumption area increases, the maximum required capacity S of the transformer required in the preset industrial power consumption areaa2 (Unit: kVA):

[0066] S a2 =(Ps+Pa+(Ps+Pa)×Kd) / PF2

[0067] =(700+300+(700+300)×20%) / 0.9=1333.3

[0068] Because when S a2 >S r1 , it is necessary to expand and transform the transformer actually used in the preset industrial power consumption area, and it is necessary to repurchase and install a new large-capacity transformer, and the rated capacity of the new large-capacity transformer is S r2 Greater than S a2 , specifically re-purchase and install rated capacity S r2 It is a 1600kVA transformer;

[0069] 4) After increasing the power load, if the electricity charge is calculated based on demand, the calculated electricity charge (also called demand charge) = 48×1333.3=63998.4 yuan. If calculated based on capacity, the calculated electricity charge (also called capacity charge) = 30×1600=48000 yuan. It can be seen that capacity charge is more economical.

[0070] For this industrial zone, a supporting energy storage system is added as a grid-connected AC power source, and combined with the original power grid to supply power to the preset industrial power consumption area. The power factor of the energy storage system is set to 0.95, that is, PF1 = 0.95. Substitute the specific value into get From this we can get Pb≥285, that is, the minimum power of the energy storage system configured for the preset industrial power consumption area is 285kW, and the minimum power can be rounded to 300kW.

[0071] According to the time-of-use electricity price division of large industrial electricity consumption in the province, peak hours: 9:00-11:00, 15:00-17:00, peak hours: 8:00-9:00, 13:00-15:00, 17:00-22:00; trough hours: 11:00-13:00, 22:00-8:00 the next day. The specific time periods are as follows: Figure 2 shown.

[0072] If the dynamic power operation time period of the industrial park is 8:00-11:00 and 13:00-16:00, that is, Ta=3, Tc=3. According to the time-of-use electricity price period of the province, there are 2 hours of valley electricity prices during the day, that is, Tb=2, and the charging and discharging strategy is set to two charges and two discharges, which is more appropriate. Satisfy the conditions of Tb≤Ta and Tb≤Tc. Then the energy storage system capacity Sb=Pb×(Ta+Tc-Tb+Tl-d)=300×(3+3-2+0)=1200kWh.

[0073] If the dynamic power operation time period of the industrial park is 9:00-10:30 and 13:00-14:00, that is, Ta=1.5, Tc=1. According to the time-of-use electricity price period in Zhejiang Province, there are 2 hours of valley electricity prices during the day, that is, Tb=2, and the charging and discharging strategy is set to two charges and two discharges, which is more appropriate. The condition of Tb≥Ta≥Tc is met. Then the energy storage system capacity Sb=Pb×(Ta+Tl-d)=300×(1.5+0)=450kWh.

[0074] Based on the above analysis, under the condition of expanding the park's capacity by 300kW, the original distribution transformer 1000kVA remains unchanged, and the new energy storage system is configured as 300kW / 450kWh. If the capacity electricity price remains unchanged, further cost savings can be achieved through peak-valley arbitrage.

[0075] In the above embodiments, although the steps are numbered S1, S2, etc., these are only specific embodiments given by the present invention. Those skilled in the art may adjust the execution order of S1, S2, etc. according to actual conditions, which is also within the protection scope of the present invention. It can be understood that in some embodiments, some or all of the above embodiments may be included.

[0076] like Figure 3 As shown, an energy storage configuration system 200 for industrial electricity use according to an embodiment of the present invention includes a maximum demand capacity calculation module 201 and a minimum power determination module 202;

[0077] The maximum demand capacity calculation module 201 is used to: determine a calculation formula for a target maximum demand capacity, where the target maximum demand capacity is: when an energy storage system is configured for a preset industrial power consumption area and the power load of the preset industrial power consumption area is increased, the maximum demand capacity of the transformer required by the preset industrial power consumption area;

[0078] The minimum power determination module 202 is used to: when the power added to the preset industrial power consumption area is the power load for expanding production and increasing capacity, the minimum power of the energy storage system configured for the preset industrial power consumption area is calculated based on the principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power consumption area, and combined with the calculation formula of the target maximum demand capacity.

[0079] Optionally, in the above technical solution, the calculation formula of the target maximum required capacity is:

[0080]

[0081] Among them, S a1 represents the target maximum demand capacity, Ps represents the stable load of the preset industrial power consumption area, Pa represents the power of the increased power load in the preset industrial power consumption area, Pb represents the power of the energy storage system, PF1 represents the power factor of the energy storage system, and Kd represents the dynamic power coefficient of the transformer actually used in the preset industrial power consumption area.

[0082] Optionally, the above technical solution further includes a charging and discharging strategy determination module, which is used to determine a target charging and discharging strategy for the energy storage system according to the distribution of dynamic power operation time periods in a preset industrial power consumption area.

[0083] Optionally, the above technical solution further includes an energy storage capacity calculation module, which is used to calculate the energy storage capacity of the energy storage system according to a target charging and discharging strategy of the energy storage system.

[0084] It should be noted that the beneficial effects of the energy storage configuration system 200 for industrial electricity provided in the above embodiment are the same as the beneficial effects of the energy storage configuration method for industrial electricity provided in the above embodiment, which will not be described in detail here. In addition, when the system provided in the above embodiment realizes its functions, it only takes the division of the above functional modules as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to actual conditions to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be described in detail here.

[0085] like Figure 4 As shown, an electronic device 300 according to an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330, and the at least one computer program 330 is loaded and executed by the processor 320, so that the electronic device 300 implements any of the above-mentioned industrial electricity energy storage configuration methods, specifically:

[0086] The electronic device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein the one or more memories 310 store at least one computer program 330, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the electronic device 300 implements any of the energy storage configuration methods for industrial electricity provided in the above embodiments. Of course, the electronic device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output. The electronic device 300 may also include other components for realizing the functions of the device, which will not be described in detail here. The electronic device may specifically be a computer, etc.

[0087] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements any of the above-mentioned industrial electricity energy storage configuration methods.

[0088] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0089] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device executes any of the above-mentioned energy storage configuration methods for industrial electricity.

[0090] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

[0091] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0092] Any combination of one or more computer-readable media can be used. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0093] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for configuring energy storage for industrial electricity, characterized in that: include: Determine a calculation formula for a target maximum required capacity, where the target maximum required capacity is: when an energy storage system is configured for a preset industrial power consumption area and the power load of the preset industrial power consumption area is increased, the maximum required capacity of the transformer required for the preset industrial power consumption area; When the power added to the preset industrial power consumption area is the power load for expanding production and increasing capacity, the minimum power of the energy storage system configured for the preset industrial power consumption area is calculated based on the principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power consumption area, and combined with the calculation formula of the target maximum demand capacity.

2. The method for configuring energy storage for industrial electricity according to claim 1, characterized in that: The calculation formula for the target maximum required capacity is: Among them, S a1 represents the target maximum demand capacity, Ps represents the stable load of the preset industrial power consumption area, Pa represents the power of the increased power load in the preset industrial power consumption area, Pb represents the power of the energy storage system, PF1 represents the power factor of the energy storage system, and Kd represents the dynamic power coefficient of the transformer actually used in the preset industrial power consumption area.

3. The method for configuring an industrial electricity storage system according to claim 1 or 2, characterized in that: Also includes: According to the distribution of the dynamic power operation time period of the preset industrial power consumption area, a target charging and discharging strategy of the energy storage system is determined.

4. The method for configuring energy storage for industrial electricity according to claim 3, characterized in that: Also includes: The energy storage capacity of the energy storage system is calculated according to the target charging and discharging strategy of the energy storage system.

5. An energy storage configuration system for industrial electricity, characterized in that: It includes a maximum demand capacity calculation module and a minimum power determination module; The maximum demand capacity calculation module is used to: determine a calculation formula for a target maximum demand capacity, where the target maximum demand capacity is: the maximum demand capacity of the transformer required by the preset industrial power consumption area when an energy storage system is configured for the preset industrial power consumption area and the power load of the preset industrial power consumption area is increased; The minimum power determination module is used to: when the power added to the preset industrial power consumption area is the power load for expanding production and increasing capacity, based on the principle that the target maximum demand capacity is not greater than the rated capacity of the transformer actually used in the preset industrial power consumption area, and in combination with the calculation formula of the target maximum demand capacity, calculate the minimum power of the energy storage system configured for the preset industrial power consumption area.

6. An industrial electricity energy storage configuration system according to claim 5, characterized in that: The calculation formula for the target maximum required capacity is: Among them, S a1 represents the target maximum demand capacity, Ps represents the stable load of the preset industrial power consumption area, Pa represents the power of the increased power load in the preset industrial power consumption area, Pb represents the power of the energy storage system, PF1 represents the power factor of the energy storage system, and Kd represents the dynamic power coefficient of the transformer actually used in the preset industrial power consumption area.

7. An industrial electricity energy storage configuration system according to claim 5 or 6, characterized in that: It also includes a charging and discharging strategy determination module, which is used to determine the target charging and discharging strategy of the energy storage system according to the distribution of the dynamic power operation time period of the preset industrial power consumption area.

8. An industrial electricity energy storage configuration system according to claim 7, characterized in that: It also includes an energy storage capacity calculation module, which is used to calculate the energy storage capacity of the energy storage system according to the target charging and discharging strategy of the energy storage system.

9. An electronic device, characterized in that: The electronic device includes a processor, the processor is coupled to a memory, at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements an energy storage configuration method for industrial electricity as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: At least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by the processor to enable the computer to implement the energy storage configuration method for industrial electricity as described in any one of claims 1 to 4.

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