Energy storage system data processing method and device

Abstract

The application relates to a kind of energy storage system data processing method and device, comprising: obtaining inherent parameter of energy storage system, and setting operating parameter;Based on the above inherent parameter and operating parameter, the effective utilization hours of each year are calculated respectively, and the initial operation cycle effective utilization hours are obtained through superposition algorithm;Based on initial operation cycle effective utilization hours, after the operation cycle reaches the cycle life, the maximum operation cycle effective utilization hours are determined according to the relationship between operating parameters.The application establishes the calculation model of effective utilization hours, calculates data, and then obtains the best way suitable for the operation of energy storage power station through data analysis, which is of great significance for the operation of energy storage power station.

Description

Technical Field

[0001] This invention relates to the field of energy storage power station technology, and in particular to a data processing method and apparatus for energy storage systems. Background Technology

[0002] With the introduction of the "dual carbon" target and the continuous growth of electricity demand across society, my country's energy structure adjustment is deepening, and the widespread application of energy storage technology in the power system has become an inevitable trend for future development. Energy storage can significantly improve the absorption of renewable energy, promote open sharing and flexible trading of energy production and consumption, and achieve multi-energy synergy. It is a core foundation for promoting power system reform and fostering the development of new energy business models.

[0003] Numerous scholars have conducted extensive research on energy storage technology, focusing on its materials, design, manufacturing processes, and applications. However, systematic research on investment returns and economic evaluation is still relatively limited. Currently, my country's energy storage market has significant growth potential. Profiting from peak-valley price differences is one of the main profit models for energy storage systems. However, due to high investment and construction costs, as well as unclear market rules in some regions, its development has not reached the expected scale, and the returns are not ideal under current energy storage costs and policies.

[0004] The maximum effective operating hours refer to the number of effective operating hours of an energy storage battery under full-load operating conditions throughout its entire cycle life. The effective operating hours directly impact energy storage revenue. However, current research on the maximum effective operating hours is limited, and there is no clear calculation method. Determining this method would be of great significance for understanding the operational profitability of energy storage power plants. Summary of the Invention

[0005] This invention provides a data processing method and apparatus for energy storage systems. By establishing a calculation model for effective utilization hours, it calculates the number of operating years required for the energy storage system to reach its cycle life and the maximum effective utilization hours of the operating cycle. Then, through data analysis, it derives the optimal mode for the operation of the energy storage power station, which is of great significance for the operational benefits of the energy storage power station.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: A data processing method for an energy storage system, comprising: Obtain the inherent parameters of the energy storage system and set the operating parameters. The inherent parameters include the cycle life L of the energy storage system, the time h for the energy storage battery to complete a full charge or discharge cycle, the depth of charge and discharge d, and the energy storage battery degradation rate n. The operating parameters include the number of operating days per year a, the number of times the energy storage battery completes a full charge or discharge cycle per day f, and the number of operating years y. Based on the aforementioned inherent parameters and operating parameters, the annual effective utilization hours are calculated respectively, and the initial operating cycle effective utilization hours T1 are obtained through the superposition algorithm. Based on the initial effective utilization hours T1 of the operating cycle, after the operating cycle reaches the cycle life L, and according to the operating relationship between the number of operating days a per year, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L, the maximum effective utilization hours T of the operating cycle is determined.

[0007] Preferably, the calculation model for obtaining the initial effective utilization hours T1 of the operating cycle includes:

[0008] Where T1 represents the effective utilization hours of the initial operating cycle, in hours; a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge cycle per day, in times / day; y represents the number of operating years, in years; h represents the time it takes for the energy storage battery to complete one full charge or discharge cycle, in hours; d represents the depth of charge / discharge, in %; n represents the energy storage battery degradation rate, in %; and y represents the number of operating years, in years.

[0009] Preferably, in the calculation model for the initial operating cycle effective utilization hours T1, the relationship between the number of operating days a, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L of the energy storage system includes: .

[0010] Preferably, the above-mentioned number of operating days a, the number of times the energy storage battery completes a full charge or discharge in one day f, and the number of operating years y satisfy the following conditions: ; Where a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge in one day, in times / day; and y represents the number of operating years, in years.

[0011] Preferably, after the operating cycle reaches the cycle life L, the relationship between the number of operating days per year (a), the number of times the energy storage battery completes a full charge or discharge per day (f), the number of operating years (y), and the cycle life L includes: ; Substituting formula (4) into formula (1) yields the maximum effective utilization hours T of the operating cycle, wherein the calculation of the above maximum effective utilization hours T includes: ; Where T represents the maximum effective utilization hours of the operating cycle, in hours.

[0012] Preferably, according to formula (3), under the condition that conditions (3) and (4) are met, the smaller the number of years of operation y, the larger the number of effective utilization hours of the maximum operating cycle; Where the number of operating days per year, a, is taken as s, and the number of times the energy storage battery completes a full charge or discharge per day, f, is taken as m. Substituting these values ​​into the above formula (5), the minimum number of operating years, y, is obtained. 小 As shown below:

[0013] Among them, y 小 The minimum number of operating years is represented by 's'; the maximum number of operating days per year is represented by 's'; and the maximum number of times the energy storage battery can complete a full charge or discharge in one day is represented by 'm'. Minimum number of operating years y 小 Substituting into formula (5), we obtain the maximum operating cycle and maximum effective utilization hours T of the energy storage system. 大 Among them, the maximum effective utilization hours T of the maximum operating cycle mentioned above are calculated. 大 include:

[0014] Among them, T 大 This indicates the maximum effective utilization hours of the maximum operating cycle.

[0015] Preferably, the above method further includes: Calculate the energy storage operation revenue P, where the energy storage operation revenue P equals the effective utilization hours under peak electricity prices multiplied by the system capacity multiplied by the electricity price multiplied by the system efficiency minus the effective utilization hours under off-peak electricity prices multiplied by the system capacity multiplied by the electricity price divided by the system efficiency. The calculation of the above energy storage operation revenue P includes: ; Where P represents revenue in yuan; C represents system capacity in kilowatts; η represents system efficiency in %; eh and el represent peak and off-peak electricity prices at the time of calculation, respectively; Among them, the effective utilization hours under the above-mentioned peak electricity price, the effective utilization hours under the above-mentioned off-peak electricity price, and the effective utilization hours T of the above-mentioned maximum operating cycle are equal.

[0016] A data processing device for an energy storage system, comprising: The acquisition module is used to acquire the inherent parameters of the energy storage system and set the operating parameters. The inherent parameters include the cycle life L of the energy storage system, the time h for the energy storage battery to complete a full charge or discharge cycle, the depth of charge and discharge d, and the energy storage battery degradation rate n. The operating parameters include the number of operating days per year a, the number of times the energy storage battery completes a full charge or discharge cycle per day f, and the number of operating years y. The first calculation module is used to calculate the number of effective utilization hours per year based on the aforementioned inherent parameters and operating parameters, and to obtain the number of effective utilization hours T1 of the initial operating cycle through an overlay algorithm. The second calculation module is used to calculate the effective utilization hours T1 of the initial operating cycle based on the calculation model. After the operating cycle reaches the cycle life L, the maximum effective utilization hours T of the operating cycle is determined based on the operating relationship between the number of operating days a per year, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L.

[0017] Preferably, the calculation model for obtaining the initial effective utilization hours T1 of the operating cycle includes:

[0018] Where T1 represents the effective utilization hours of the initial operating cycle, in hours; a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge cycle per day, in times / day; y represents the number of operating years, in years; h represents the time it takes for the energy storage battery to complete one full charge or discharge cycle, in hours; d represents the depth of charge / discharge, in %; n represents the energy storage battery degradation rate, in %; and y represents the number of operating years, in years.

[0019] Preferably, in the calculation model for the initial operating cycle effective utilization hours T1, the relationship between the number of operating days a, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L of the energy storage system includes: .

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: By first establishing the relationship between the fixed parameters, operating parameters, and initial effective utilization hours of the energy storage system, and then by analyzing the relationship between the annual operating days, the number of times the energy storage battery completes a full charge or discharge per day, and the cycle life, the maximum effective utilization hours of the operating cycle are determined. Based on the calculation model of the maximum effective utilization hours of the operating cycle, the required operating years and the maximum effective utilization hours of the operating cycle required for the energy storage system to reach its cycle life are calculated. Finally, through data analysis, the optimal operating mode for the energy storage power station is derived, which is of great significance for the operational benefits of the energy storage power station. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the data processing method for an energy storage system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the data processing device for the energy storage system in an embodiment of the present invention; Figure 3 This is a graph showing the relationship between the operating years, the maximum effective utilization hours of the operating cycle, and the energy storage operation revenue calculated in a specific embodiment of the present invention. Detailed Implementation

[0023] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0025] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0026] This invention provides a data processing method for an energy storage system, such as... Figure 1 As shown, it includes: First, obtain the inherent parameters of the energy storage system and set the operating parameters. The inherent parameters include the cycle life L of the energy storage system, the time h for the energy storage battery to complete a full charge or discharge cycle, the depth of charge and discharge d, and the energy storage battery degradation rate n. The operating parameters include the number of operating days per year a, the number of times the energy storage battery completes a full charge or discharge cycle per day f, and the number of operating years y. Then, based on the inherent parameters and operating parameters, the annual effective utilization hours are calculated separately, and the initial operating cycle effective utilization hours T1 are obtained through an overlay algorithm. The calculation model for obtaining the initial operating cycle effective utilization hours T1 includes:

[0027] Where T1 represents the effective utilization hours of the initial operating cycle, in hours; a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge cycle per day, in times / day; y represents the number of operating years, in years; h represents the time it takes for the energy storage battery to complete one full charge or discharge cycle, in hours; d represents the depth of charge / discharge, in %; n represents the energy storage battery degradation rate, in %; and y represents the number of operating years, in years. In the calculation model for the effective utilization hours T1 of the initial operating cycle, the relationships between the number of operating days a, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L of the energy storage system include: ; The number of operating days (a), the number of times the energy storage battery completes a full charge or discharge in one day (f), and the number of operating years (y) satisfy the following conditions: ; Where a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge in one day, in times / day; y represents the number of operating years, in years; and in this embodiment of the application, the maximum value of a is 365, and in the case that a leap year has 366 days, the maximum value is also set to 365 days.

[0028] Finally, based on the initial effective utilization hours T1 of the operating cycle, after the operating cycle reaches the cycle life L, the relationship between the annual operating days a, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L is determined. The relationship between these three factors includes: ; Substituting formula (4) into formula (1) yields the maximum effective utilization hours T of the operating cycle, where the calculation of the maximum effective utilization hours T includes: ; Where T represents the maximum effective utilization hours of the operating cycle, in hours.

[0029] By establishing a calculation model for effective utilization hours using the above method, we can calculate the number of operating years required for the energy storage system to reach its cycle life and the maximum effective utilization hours of the operating cycle. Then, through data analysis, we can derive the optimal operating mode for the energy storage power station, which is of great significance for the operational benefits of the energy storage power station.

[0030] Preferably, the energy storage system data processing method further includes: calculating the energy storage operation revenue P, wherein the energy storage operation revenue P is equal to the effective utilization hours under peak electricity prices multiplied by the system capacity multiplied by the electricity price multiplied by the system efficiency minus the effective utilization hours under off-peak electricity prices multiplied by the system capacity multiplied by the electricity price divided by the system efficiency. Calculating the energy storage operation revenue P includes: ; Where P represents revenue in yuan; C represents system capacity in kilowatts; η represents system efficiency in %; eh and el represent peak and off-peak electricity prices at the time of calculation, respectively; Among them, the effective utilization hours during peak electricity price, the effective utilization hours during off-peak electricity price, and the effective utilization hours T of the maximum operating cycle are equal.

[0031] Energy storage operation revenue refers to the price difference benefit of storing electricity at a low price and releasing it at a high price. It is manifested in charging during off-peak hours when the load is low and the electricity price is low, and discharging during peak hours when the electricity price is high.

[0032] As can be seen from formula (8), the energy storage operation revenue P and the maximum effective utilization hours T of the operating cycle are linear functions. The energy storage operation revenue P can be obtained directly from the maximum effective utilization hours T of the operating cycle. Thus, the energy storage operation revenue P corresponding to each set of maximum effective utilization hours T of the operating cycle can be clearly obtained. Then, the best way to operate the energy storage power station can be obtained more intuitively, which is of great significance for the operation and benefit of the energy storage power station.

[0033] Preferably, according to formula (3), under the condition that conditions (3) and (4) are met, the smaller the number of years of operation y, the larger the number of effective utilization hours of the maximum operating cycle; Where the number of operating days per year, a, is taken as s, and the number of times the energy storage battery completes a full charge or discharge per day, f, is taken as m, substituting these values ​​into formula (5) yields the minimum number of operating years, y. 小 As shown below:

[0034] Among them, y 小The minimum number of operating years is represented by 's'; the maximum number of operating days per year is represented by 's'; and the maximum number of times the energy storage battery can complete a full charge or discharge in one day is represented by 'm'. Minimum number of operating years y 小 Substituting into formula (5), we obtain the maximum operating cycle and maximum effective utilization hours T of the energy storage system. 大 Among them, the maximum effective utilization hours T of the maximum operating cycle are calculated. 大 include:

[0035] Among them, T 大 This indicates the maximum effective utilization hours of the maximum operating cycle; And the maximum effective utilization hours T of the maximum operating cycle 大 Substituting into formula (8), we obtain the corresponding maximum energy storage operating revenue P. 大 include:

[0036] This allows us to obtain the maximum operating cycle and maximum effective utilization hours T in the energy storage system. 大 and the corresponding maximum energy storage operation revenue P 大 This has reference value for data analysis.

[0037] Among them, the inherent parameters involved in formulas (1) to (9) are the same. Once the energy storage system is determined, the values ​​of cycle life L, time h for the energy storage battery to complete a full charge or discharge cycle, depth of charge / discharge d, and energy storage battery degradation rate n are determined.

[0038] This invention also provides a data processing device for an energy storage system, such as... Figure 2 As shown, it includes: The acquisition module is used to acquire the inherent parameters of the energy storage system and set the operating parameters. The inherent parameters include the cycle life L of the energy storage system, the time h for the energy storage battery to complete a full charge or discharge cycle, the depth of charge and discharge d, and the energy storage battery degradation rate n. The operating parameters include the number of operating days per year a, the number of times the energy storage battery completes a full charge or discharge cycle per day f, and the number of operating years y. The first calculation module is used to calculate the number of effective utilization hours per year based on inherent parameters and operating parameters, and to obtain the number of effective utilization hours T1 of the initial operating cycle through an overlay algorithm; The second calculation module is used to calculate the effective utilization hours T1 of the initial operating cycle based on the calculation model. After the operating cycle reaches the cycle life L, the maximum effective utilization hours T of the operating cycle is determined according to the operating relationship between the number of operating days a per year, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L. The third calculation module is also used to calculate the energy storage operation revenue P corresponding to the maximum effective utilization hours T of the operating cycle.

[0039] Preferably, the calculation model for obtaining the initial operating cycle effective utilization hours T1 includes:

[0040] Where T1 represents the effective utilization hours of the initial operating cycle, in hours; a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge cycle per day, in times / day; y represents the number of operating years, in years; h represents the time it takes for the energy storage battery to complete one full charge or discharge cycle, in hours; d represents the depth of charge / discharge, in %; n represents the energy storage battery degradation rate, in %; and y represents the number of operating years, in years.

[0041] Preferably, in the calculation model for the initial operating cycle effective utilization hours T1, the relationship between the number of operating days a, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L of the energy storage system includes: .

[0042] To illustrate the technical solution of the present invention, specific embodiments are described below: First, let's take a basic energy storage system with a total installed capacity of approximately 1MW / 2MWh, a system capacity of C=1MW, a time h of 2 hours to complete one full charge or discharge cycle, a cycle life L of 6000 cycles, a depth of charge / discharge d of 90%, a system efficiency η of 85%, and a system degradation rate of n=2.5%.

[0043] Specifically, the on-grid electricity prices are as follows: off-peak price is 0.23 yuan / kWh, grid price is 0.61 yuan / kWh, average price el is 0.42 yuan / kWh, and peak price eh is 1.03 yuan / kWh.

[0044] Substituting the specific values ​​into formulas (5) and (8), we obtain the specific formulas for the effective utilization hours of the operating cycle and the energy storage operation revenue, as follows: ; According to formulas (3) and (4), the minimum operating years required to complete the cycle life is y. 小, where s takes the value of 365 days and m takes the value twice. Substituting into formula (6), we obtain that the minimum operating cycle of the energy storage battery cycle life is 8.22 years. Then, by taking different values ​​of y, we substituting them into formula (10) and formula (11) respectively, and obtain the corresponding maximum operating cycle effective utilization hours and energy storage operation revenue respectively.

[0045] Simultaneously, by substituting the fixed values ​​of s and m, as well as the values ​​of the fixed parameters, into formulas (7) and (9) respectively, the maximum effective utilization hours T of the maximum operating cycle are obtained. 大 and energy storage operation revenue P 大 The corresponding number of years y is the smallest.

[0046] The effective utilization hours and energy storage operation revenue for different values ​​of y are obtained, as shown in the table below:

[0047] As shown in the table above, the maximum return on energy storage operation is achieved when the minimum operating lifespan is 8.22 years, assuming full-time operation and the entire cycle life is utilized. Returns decrease after the energy storage battery's cycle lifespan is exhausted in the 9th year. The return gradually decreases with increasing operating years. To maximize returns, 8.22 years is a reasonable target for the energy storage battery's cycle lifespan. However, the most suitable operating mode should be determined based on specific circumstances. These data are crucial for understanding the profitability of energy storage power stations. The curves showing the relationship between these three factors are attached. Figure 3 As shown.

[0048] The above embodiments are merely preferred embodiments of the present invention and should not be construed as limiting the scope of protection of the present invention. Any non-substantial changes and substitutions made by those skilled in the art based on the present invention shall fall within the scope of protection claimed by the present invention.

Claims

1. A data processing method for an energy storage system, characterized in that, include: Obtain the inherent parameters of the energy storage system and set the operating parameters. The inherent parameters include the cycle life L of the energy storage system, the time h for the energy storage battery to complete a full charge or discharge cycle, the depth of charge and discharge d, and the energy storage battery degradation rate n. The operating parameters include the number of operating days per year a, the number of times the energy storage battery completes a full charge or discharge cycle per day f, and the number of operating years y. Based on the aforementioned inherent parameters and operating parameters, the annual effective utilization hours are calculated respectively, and the initial operating cycle effective utilization hours T1 are obtained through the superposition algorithm. Based on the initial effective utilization hours T1 of the operating cycle, after the operating cycle reaches the cycle life L, and based on the operating relationship between the number of operating days a per year, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L, the maximum effective utilization hours T of the operating cycle is determined. The calculation model for obtaining the initial effective utilization hours T1 of the operating cycle includes: Wherein, T1 represents the effective utilization hours of the initial operating cycle, in hours; a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge cycle per day, in times / day; y represents the number of operating years, in years; h represents the time it takes for the energy storage battery to complete one full charge or discharge cycle, in hours; d represents the depth of charge / discharge, in %; n represents the energy storage battery degradation rate, in %; and y represents the number of operating years, in years.

2. The data processing method for an energy storage system according to claim 1, characterized in that, In the calculation model for the initial operating cycle effective utilization hours T1, the relationships between the number of operating days a, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L of the energy storage system include: 。 3. The data processing method for an energy storage system according to claim 2, characterized in that, The number of operating days a, the number of times the energy storage battery completes a full charge or discharge in one day f, and the number of operating years y satisfy the following conditions: ； Where a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge in one day, in times / day; and y represents the number of operating years, in years.

4. The data processing method for an energy storage system according to claim 3, characterized in that, After the operating cycle reaches its cycle life L, the relationship between the number of operating days per year (a), the number of times the energy storage battery completes a full charge or discharge per day (f), the number of operating years (y), and the cycle life L includes: ； Substituting formula (4) into formula (1) yields the maximum effective utilization hours T of the operating cycle, wherein calculating the maximum effective utilization hours T of the operating cycle includes: ； Where T represents the maximum effective utilization hours of the operating cycle, in hours.

5. The data processing method for an energy storage system according to claim 4, characterized in that, According to formula (3), under the conditions of (3) and (4), the smaller the number of years of operation y, the larger the number of hours of effective utilization of the maximum operating cycle; Where the number of operating days per year, a, is taken as s, and the number of times the energy storage battery completes a full charge or discharge per day, f, is taken as m. Substituting these values ​​into the formula (5), the minimum number of operating years, y, is obtained. 小 As shown below: Among them, y 小 The minimum number of operating years is represented by 's'; the maximum number of operating days per year is represented by 's'; and the maximum number of times the energy storage battery can complete a full charge or discharge in one day is represented by 'm'. Minimum number of operating years y 小 Substituting into formula (5), we obtain the maximum operating cycle and maximum effective utilization hours T of the energy storage system. 大 Among them, the maximum effective utilization hours T of the maximum operating cycle are calculated. 大 include: Among them, T 大 This indicates the maximum effective utilization hours of the maximum operating cycle.

6. The data processing method for an energy storage system according to claim 4, characterized in that, The method further includes: Calculate the energy storage operation revenue P, where the energy storage operation revenue P equals the effective utilization hours under peak electricity prices multiplied by the system capacity multiplied by the electricity price multiplied by the system efficiency minus the effective utilization hours under off-peak electricity prices multiplied by the system capacity multiplied by the electricity price divided by the system efficiency. The calculation of the energy storage operation revenue P includes: ； Where P represents revenue in yuan; C represents system capacity in kilowatts; η represents system efficiency in %; and e represents the system efficiency. h e l These represent the peak and off-peak electricity prices at the time of calculation, respectively. The effective utilization hours during peak electricity price, the effective utilization hours during off-peak electricity price, and the effective utilization hours T during the maximum operating cycle are all equal.

7. An energy storage system data processing apparatus, used to implement the energy storage system data processing method according to any one of claims 1-6, characterized in that, include: The acquisition module is used to acquire the inherent parameters of the energy storage system and set the operating parameters. The inherent parameters include the cycle life L of the energy storage system, the time h for the energy storage battery to complete a full charge or discharge cycle, the depth of charge and discharge d, and the energy storage battery degradation rate n. The operating parameters include the number of operating days per year a, the number of times the energy storage battery completes a full charge or discharge cycle per day f, and the number of operating years y. The first calculation module is used to calculate the number of effective utilization hours per year based on the inherent parameters and operating parameters, and to obtain the number of effective utilization hours T1 of the initial operating cycle through an overlay algorithm; The second calculation module is used to determine the maximum effective utilization hours T of the operating cycle after the operating cycle reaches the cycle life L, based on the calculation model of the initial operating cycle effective utilization hours T1. This is done by considering the operating relationship between the annual operating days a, the number of times the energy storage battery completes a full charge or discharge in one day f, the number of operating years y, and the cycle life L.

8. The energy storage system data processing device according to claim 7, characterized in that, The calculation model for obtaining the initial effective utilization hours T1 of the operating cycle includes: Wherein, T1 represents the effective utilization hours of the initial operating cycle, in hours; a represents the number of operating days per year, in days / year; f represents the number of times the energy storage battery completes a full charge or discharge cycle per day, in times / day; y represents the number of operating years, in years; h represents the time it takes for the energy storage battery to complete one full charge or discharge cycle, in hours; d represents the depth of charge / discharge, in %; n represents the energy storage battery degradation rate, in %; and y represents the number of operating years, in years.

9. The energy storage system data processing device according to claim 8, characterized in that, In the calculation model for the initial operating cycle effective utilization hours T1, the relationships between the number of operating days a, the number of times the energy storage battery completes a full charge or discharge per day f, the number of operating years y, and the cycle life L of the energy storage system include: 。

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