Battery energy storage configuration calculation method and system based on test working condition and storage medium

Abstract

The invention provides a battery energy storage configuration calculation method based on test conditions, and belongs to the field of energy storage. The method comprises the following steps: S1, fitting a power time curve according to power requirements of an electricity utilization fixed load and an alternating load, and determining a maximum power point Pmax and a minimum power point Pmin of the fitted power time curve; s2, calculating power required by power distribution according to the Pmax and the Pmin; s3, calculating the areas of the power values of the fitting power-time curve exceeding and lower than the power part required by power distribution, and respectively recording the areas as daily charging amount W1 and daily charging amount W2; s4, judging whether W1 is equal to W2 or not, and if not, re-determining Pmax or Pmin and re-calculating the power required by power distribution; s5, circularly executing the steps S2 to S4, when W1 is equal to W2, determining that the power required by power distribution at the moment is PA, determining the Pmax at the moment, and determining that the power required by energy storage is PB = Pmax-PA; and the discharge capacity W required by energy storage is equal to W1 and W2. The power and the battery capacity of the energy storage system can be reasonably configured, the capacity expansion requirement under the charging and discharging test working condition of an energy storage battery product is met, the power distribution capacity of a power grid is adjusted to a reasonable level, the investment cost is saved, and the system utilization rate is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage, and particularly to a method, a system and a storage medium for calculating battery energy storage configuration based on test conditions. Background Art

[0002] Electrochemical energy storage has played an important role in the aspects of power source, grid and load. In the power generation side, mainly for new energy power stations such as wind and light, adding energy storage devices can reduce the amount of abandoned wind and light, greatly improve the power generation revenue of the power station, and at the same time provide power support for the power grid. In the grid side, for large power stations mainly composed of converging stations and substations, adding centralized large-scale energy storage can effectively regulate the frequency and voltage of the power grid through charging and discharging, and ensure the stable operation of the power grid. In the load side, for industrial and commercial factories and parks, by configuring an energy storage system, energy storage can be discharged at peak electricity prices to provide support for the park load, and at the same time relieve the load pressure on the power grid; energy storage can be charged at valley electricity prices to reduce the waste of electric energy resources of the power grid, so as to achieve peak-valley arbitrage; in some scenarios with large fluctuations in electricity consumption load or expansion requirements, it can also be used as a temporary power source to meet the expansion requirements of the user terminal distribution network, thereby reducing the transformation cost and bringing certain benefits to users.

[0003] Currently, when configuring energy storage for the user side, the main application scenarios are peak-valley arbitrage and short-term power support, considering factors such as the load absorption capacity of the park, the charging and discharging power, the local peak-valley electricity price period, the floor area and safety specifications. The existing configuration of the user-side energy storage system is mainly based on simple calculations of the peak-valley price difference period and the capacity of the distribution line. For example, the patent document with the publication number CN116316764A provides a user energy storage system and its configuration method, which determines the charging period and discharging period of the energy storage system according to the distribution of peak, flat and valley periods of electricity consumption; calculates the first power and the first capacity required to be configured by the energy storage system during the charging period, and calculates the second power and the second capacity required to be configured by the energy storage system during the discharging period; takes the maximum value of the first power and the second power as the power required to be configured by the energy storage system, and takes the minimum value of the first capacity and the second capacity as the capacity required to be configured by the energy storage system, which can achieve the maximization of the peak shaving and valley filling benefits by configuring the energy storage system. However, this configuration method is not applicable to situations such as: "Under the test conditions of energy storage batteries, the fluctuation of the electricity consumption load is closely related to the product test steps. Under the standard test steps, the load curve is almost a periodic waveform, with charging and discharging cycle conditions. If the configuration of the distribution line capacity is too large, it will lead to low economy, especially when the test production capacity is insufficient, and if the configuration is too small, the test line will not be able to work." Summary of the Invention

[0004] The technical problem to be solved by the present invention is how to reasonably configure the power of the energy storage system and the battery capacity to meet the cost savings and the expansion requirements under the charging and discharging test conditions of the energy storage battery products.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: A method for calculating battery energy storage configuration based on test conditions, comprising the following steps:

[0006] S1: Fit the power-time curve according to the power requirements of the fixed and alternating loads of electricity consumption, and determine the maximum power point P max and the minimum power point P min ;

[0007] S2: Calculate the power required for power distribution according to P max and P min ;

[0008] S3: Calculate the areas of the parts of the power value of the fitted power-time curve that exceed and are lower than the power required for power distribution, and record them as the daily power consumption W1 and the daily charge amount W2 respectively;

[0009] S4: Determine whether W1 and W2 are equal. When they are not equal, re-determine P max or P min and recalculate the power required for power distribution;

[0010] S5: Loop through S2 to S4. When W1 = W2, determine that the power required for power distribution at this time is P A , and determine P max at this time. The power that the energy storage needs to provide is P B = P max - P A ; The discharge amount W required for the energy storage is W = W1 = W2.

[0011] The present invention can obtain reasonable power distribution power and energy storage configuration parameters through theoretical calculation: the power required for power distribution, the power that the energy storage needs to provide, and the discharge amount required for the energy storage, so as to reduce the power distribution power and save equipment costs, and can minimize the investment in power distribution equipment and the smooth electricity load demand to save the expenditure of demand charges. At the same time, it can achieve peak-valley arbitrage to maximize the benefits. The present invention can also optimize the energy storage configuration through calculation in some working conditions that require the renovation and expansion of power distribution equipment to meet the power distribution requirements, save the construction period, improve the work efficiency to a certain extent, and save the investment cost.

[0012] Preferably, in step S1, the fitting of the power-time curve is based on historical electricity consumption data or real-time electricity consumption data.

[0013] The present invention uses historical electricity consumption data or real-time electricity consumption data to fit the power-time curve, and the fitting result conforms to the actual situation, which can ensure the accuracy of the energy storage configuration calculation.

[0014] Preferably, in step S2, the formula for calculating the power required for power distribution P n is:

[0015] Preferably, in step S3, the integral calculation is used to fit the area of the power value of the power-time curve that exceeds the power required for power distribution.

[0016] Preferably, the integral calculation adopts a numerical integral method, including the trapezoidal method or the Simpson method.

[0017] Preferably, in step S4, when W1 and W2 are not equal, P is re-determined max or P min and the specific process of re-calculating the power required for power distribution is as follows:

[0018] When W1 > W2, make P min = P n , When W1 < W2, make P max = P n , where P n is the currently required power for power distribution, and P n+1 is the re-calculated required power for power distribution.

[0019] The required power for power distribution of the present invention is continuously updated until the daily power consumption is equal to the daily charge amount to determine the required power for power distribution, that is, the power of the power grid that needs to be configured. Further, the power that the lip balm needs to provide and the discharge amount required for energy storage can be determined, which can reduce the power distribution power and save equipment costs, and at the same time improve the utilization rate of system equipment.

[0020] The present invention also provides a battery energy storage configuration calculation system based on test conditions, including the following modules:

[0021] Fitting power-time curve module: used to fit the power-time curve according to the power requirements of the fixed load and alternating load of electricity consumption, and determine the maximum power point P max and the minimum power point P min ;

[0022] Calculating required power for power distribution module: used to calculate the required power for power distribution according to P max and P min ;

[0023] Obtaining daily power consumption and daily charge amount module: used to calculate the areas of the power value of the fitting power-time curve that exceeds and is lower than the required power for power distribution, denoted as daily power consumption W1 and daily charge amount W2 respectively;

[0024] Judgment module: used to judge whether W1 and W2 are equal. When the two are not equal, re-determine P max or P min and re-calculate the required power for power distribution;

[0025] Determine the power module required for power distribution: used to make the calculation of the power module required for power distribution, the module for obtaining daily power consumption and daily charging amount, and the judgment module execute in a loop. When W1 = W2, determine that the power required for power distribution at this time is P A , and determine P at this time max , the power that the energy storage needs to provide is P B = P max - P A ; the discharge amount W of the energy storage = W1 = W2

[0026] Preferably, the judgment module includes the following units:

[0027] The first judgment unit: used to make P when W1>W2 min = P n ,

[0028] The second judgment unit: used to make P when W1<W2 max = P n , where P n is the current power required for power distribution, and P n+1 is the power required for power distribution recalculated

[0029] Preferably, the judgment module further includes a third judgment unit: used to determine the power required for power distribution, the power that the energy storage needs to provide, and the discharge amount of the energy storage at this time by the power module required for power distribution when W1 = W2

[0030] The present invention also provides a storage medium, on which a computer program is stored. When the computer program is run by a processor, it executes the steps of the battery energy storage configuration calculation method based on test conditions

[0031] Compared with the prior art, the advantages of the present invention are as follows: reasonable power distribution power and energy storage configuration parameters can be obtained through theoretical calculation, thereby reducing the power distribution power and saving equipment costs, being able to minimize the maximum demand of grid power consumption, saving the expenditure of demand electricity charges, improving the utilization rate of system equipment at the same time, and the energy storage system can also be used for peak-valley arbitrage to increase customer benefits Description of the Drawings

[0032] Figure 1 is the flowchart of Embodiment 1 of the present invention

[0033] Figure 2 is the power curve simulated by the energy storage battery according to the test steps in Embodiment 1 of the present invention

[0034] Figure 3 is the fitted power-time curve in Embodiment 1 of the present invention Detailed implementation manners

[0035] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] Embodiment 1

[0037] As Figure 1 shown, this embodiment provides a calculation method for battery energy storage configuration based on test conditions, including the following steps:

[0038] S1: Based on historical power consumption data or real-time power consumption data, combined with Figure 2 and Figure 3 , fit the power-time curve (constant power load + alternating power load) according to the power requirements of the constant power load and alternating power load of electricity consumption, and determine the maximum power point P max and the minimum power point P min ;

[0039] S2: According to P max and P min , calculate the power required for power distribution by the bisection method. First, take At this time, P max , P min are respectively the maximum power point and the minimum power point of the fitted power-time curve;

[0040] S3: Adopt a numerical integration method, including the trapezoidal method or the Simpson method, to calculate the areas of the parts of the power value of the fitted power-time curve that exceed and are lower than the power required for power distribution, and record them as the daily power consumption W1 and the daily charge W2 respectively;

[0041] S4: Judge whether W1 is equal to W2. When they are not equal, re-determine P max or P min and re-calculate the power required for power distribution. Specifically: when W1>W2, make P min =P n , when W1<W2, make P max =P n , where P n is the currently required power for power distribution, and P n+1 is the re-calculated required power for power distribution.

[0042] S5: Loop through S2 to S4. When W1 = W2, determine the power required for power distribution at this time as P A , and determine the P at this time max , and the power that the energy storage needs to provide is P B = P max - P A ; The discharge amount W required by the energy storage is W1 = W2.

[0043] To better illustrate the above method of the embodiment of the present invention, this embodiment assumes that the final P A is P3, that is, the power required for power distribution finally determined after three recalculations. The specific calculation process is as follows:

[0044] First, determine the maximum power point P max and the minimum power point P min according to the fitted power-time curve, and calculate to obtain P0, At this time, P max , P min are respectively the maximum power point and the minimum power point of the fitted power-time curve. After integrating to calculate the part of the power value of the fitted power-time curve that exceeds P0 as the daily power consumption W1, and the part that is lower than P0 as the daily charge amount W2. Since it is determined at this time that W1 ≠ W2, it is necessary to further judge the relationship between W1 and W2. This embodiment assumes that W1 > W2 here. At this time, re-determine P min as P0, and thus At this time, P max is still the maximum power point of the fitted power-time curve. Integrate again to calculate the part of the power value of the fitted power-time curve that exceeds P1 as the daily power consumption W1, and the part that is lower than P1 as the daily charge amount W2. At this time, it is still determined that W1 ≠ W2, and it is still necessary to further judge the relationship between W1 and W2. This embodiment assumes that W1 < W2 here. At this time, re-determine P max as P1, and thus Since P min has been updated to P0 previously, so Integrate again to calculate the part of the power value of the fitted power-time curve that exceeds P2 as the daily power consumption W1, and the part that is lower than P2 as the daily charge amount W2. At this time, it is still determined that W1 ≠ W2, and it is still necessary to further judge the relationship between W1 and W2. This embodiment assumes that W1 > W2 here, and re-determine P at this time min as P2, and thus Since P max was updated to P1 previously, so here Integrate again to calculate the part of the power value of the fitted power-time curve that exceeds P3 as the daily power consumption W1, and the part that is lower than P3 as the daily charge amount W2. At this time, it is determined that W1 = W2, and determine that P3 at this time is the power required for power distribution P A , and the P at this time maxis P1, so the power required to be provided for energy storage is P B = P max -P A = P1 - P3, and the discharge amount required for energy storage is P n The daily power consumption and daily charging amount when updated to P3 are W = W1 = W2.

[0045] It can be seen that P in this embodiment n , P max , P min , W1, and W2 are all continuously updated until W1 = W2. By determining the parameters of the distribution power and energy storage configuration, it is possible to reduce the distribution power, save equipment costs, and at the same time improve the utilization rate of system equipment. The energy storage system can also be used for peak-valley arbitrage to increase customer benefits; after obtaining the energy storage system configuration, the maximum demand for grid power consumption can be minimized to save the expenditure on demand charges; it can also optimize the energy storage configuration through calculation to meet the distribution requirements under some working conditions where distribution equipment needs to be renovated and expanded, saving the construction period, improving work efficiency to a certain extent, and saving the input cost.

[0046] Since the distribution and energy storage parameters obtained by the calculation method of the present invention do not consider system losses and design margins, the power and electricity of the energy storage system should be appropriately increased in actual configuration, and the actual distribution power value should consider the amplification factor.

[0047] The energy storage system power calculated in the embodiment of the present invention is the demand value within one cycle of an ideal alternating load. If there are actually multiple cycles, the calculated value should be divided by the number of cycles to obtain the energy storage power. If there are irregular multiple alternating cycles, the data within the maximum change cycle should be selected for calculation.

[0048] When configuring the energy storage battery capacity and power, the energy storage system is used as power support and provides power supply through cyclic charge and discharge. It is necessary to confirm the charge and discharge depth and charge and discharge rate of the battery system, ensure that the charge and discharge rate of the battery configuration meets the requirements under the premise of power, and at the same time, the battery power can be overconfigured to meet the requirements of the discharge rate.

[0049] Embodiment 2

[0050] Corresponding to Embodiment 1 of the present invention, this embodiment provides a battery energy storage configuration calculation system based on test conditions, including the following modules:

[0051] Fitting power-time curve module: used to fit the power-time curve according to the power requirements of the fixed load and alternating load of electricity consumption, and determine the maximum power point P max and the minimum power point P min ;

[0052] Calculating the power required for distribution module: used to calculate according to P maxand P min Calculate the power required for power distribution;

[0053] Obtain the daily power consumption and daily charging amount module: used to calculate the areas of the parts of the power-time curve where the fitted power value exceeds and is lower than the power required for power distribution, denoted as the daily power consumption W1 and the daily charging amount W2 respectively;

[0054] Judgment module: used to judge whether W1 and W2 are equal, and re-determine P when they are not equal max or P min And re-calculate the power required for power distribution, which specifically includes the following units:

[0055] The first judgment unit: used to make P when W1>W2 min =P n ,

[0056] The second judgment unit: used to make P when W1<W2 max =P n , where P n is the currently required power for power distribution, and P n+1 is the re-calculated required power for power distribution;

[0057] The third judgment unit: used to determine the required power for power distribution, the power that the energy storage needs to provide, and the discharge amount of the energy storage at this time by the module for determining the required power for power distribution when W1 = W2;

[0058] Module for determining the required power for power distribution: used to make the module for calculating the required power for power distribution, the module for obtaining the daily power consumption and daily charging amount, and the judgment module execute in a loop. When W1 = W2, determine that the required power for power distribution at this time is P A , and determine the P at this time max , the power that the energy storage needs to provide is P B =P max -P A ; the discharge amount W of the energy storage = W1 = W2.

[0059] The specific calculation method of the battery energy storage configuration calculation system based on the test conditions provided in this embodiment is the same as that in Embodiment 1, and will not be elaborated here. Through the operation and cooperation of five modules in this embodiment, the required power for power distribution, the power that the energy storage needs to provide, and the discharge amount of the energy storage can be calculated, which can provide a theoretical basis for optimizing the system power distribution capacity, meet the capacity expansion requirements under the charge and discharge test conditions of similar energy storage battery products, adjust the power distribution capacity of the power grid to a reasonable level, save investment costs, and improve system utilization.

[0060] Embodiment 3

[0061] This embodiment provides a storage medium, on which a computer program is stored. When the computer program is run by a processor, it executes the steps of the battery energy storage configuration calculation method based on test conditions described in Embodiment 1 to determine the power required for power distribution, the power that the energy storage needs to provide, and the discharge amount required for the energy storage.

[0062] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A calculation method for battery energy storage configuration based on test conditions, characterized in that, It includes the following steps: S1: Fit the power-time curve according to the power demands of the fixed electrical load and the alternating load, and determine the maximum power point P and the minimum power point P according to the fitted power-time curve; max min ​​ S2: Calculate the power required for power distribution according to P max and P min ​ S3: Calculate the areas of the parts where the power values of the fitted power-time curve exceed and are lower than the power required for power distribution, which are respectively denoted as the daily power consumption W1 and the daily charging amount W2; S4: Determine whether W1 is equal to W2. If they are not equal, re-determine P max or P min and re-calculate the power required for power distribution; S5: Loop through S2 to S4. When W1 = W2, determine that the power required for power distribution at this time is P A , and determine P at this time max . The power that the energy storage needs to provide is P B = P max - P A ; The discharge amount W required by the energy storage is W1 = W2 2. The battery energy storage configuration calculation method based on test conditions according to claim 1, wherein In step S1, the fitting of the power-time curve is based on historical power consumption data or real-time power consumption data.

3. A method for calculating battery energy storage configuration based on test conditions according to claim 1, characterized in that In step S2, calculate the power P required for power distribution n The formula is:

4. A method for calculating battery energy storage configuration based on test conditions according to claim 3, characterized in that, In step S3, an integral is used to calculate the area of the part where the power value of the fitted power-time curve exceeds the power required for power distribution.

5. The battery energy storage configuration calculation method based on test conditions according to claim 4, wherein The integral calculation uses a numerical integration method, including the trapezoidal method or the Simpson's method.

6. The battery energy storage configuration calculation method based on test conditions according to claim 4, wherein In step S4, when W1 and W2 are not equal, re-determine P max or P min The specific process of re-calculating the power required for power distribution is as follows: When W1 > W2, set P min = P n , When W1 < W2, set P max = P n , where P n is the currently required power for power distribution, and P n+1 is the recalculated required power for power distribution.

7. A battery energy storage configuration calculation system based on test conditions, characterized in that, It includes the following modules: Fitting power-time curve module: used to fit the power-time curve according to the power demands of fixed electrical loads and alternating loads, and determine the maximum power point P and the minimum power point P according to the fitted power-time curve; max and the minimum power point P min ; Power module for calculating power required for power distribution: used to calculate the power required for power distribution according to P max and P min ; Module for obtaining daily power consumption and daily charging amount: It is used to calculate the areas of the parts where the power values of the fitted power-time curve exceed and are lower than the power required for power distribution, which are respectively denoted as the daily power consumption W1 and the daily charging amount W2; Judgment module: used to judge whether W1 is equal to W2, and re-determine P when they are not equal max or P min and recalculate the power required for power distribution; Determine the power module required for power distribution: used to make the calculation of the power module required for power distribution, the module for obtaining daily power consumption and daily charging amount, and the judgment module execute cyclically. When W1 = W2, determine that the power required for power distribution at this time is P A , and determine P at this time max , and the power that the energy storage needs to provide is P B = P max - P A ; The discharge amount W required for energy storage is W1 = W2 8. A battery energy storage configuration calculation system based on test conditions according to claim 7, characterized in that, The judgment module includes the following units: The first judgment unit: used to make P when W1 > W2 min = P n , The second determination unit: used to make P max = P n , where P n is the currently required power for power distribution, and P n+1 is the recalculated required power for power distribution.

9. The battery energy storage configuration calculation system based on test conditions according to claim 8, characterized in that, The judgment module further includes a third judgment unit: It is used to, when W1 = W2, determine the power required for power distribution, the power that the energy storage needs to provide, and the discharge amount of the energy storage at this time by the module for determining the power required for power distribution.

10. A storage medium, on which a computer program is stored, characterized in that, When the computer program is run by a processor, it executes the steps of the method for calculating the battery energy storage configuration based on test conditions according to any one of claims 1 to 6.

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