A method and device for determining charge and discharge capacity of an energy storage power station, and an electronic device

Abstract

The disclosure provides a method and device for determining the charging and discharging capacity of an energy storage power station and electronic equipment, and relates to the technical field of power grids. The specific implementation scheme is as follows: predicting the initial maximum charging capacity of the energy storage power station; determining the operation mode of the energy storage power station, which is a new energy consumption mode or a peak load shifting mode; in the case where the operation mode of the energy storage power station is the new energy consumption mode, using a first calculation method corresponding to the new energy consumption mode to calculate the energy storage charging and discharging capacity of the energy storage power station in the new energy consumption mode; in the case where the operation mode of the energy storage power station is the peak load shifting mode, using a second calculation method corresponding to the peak load shifting mode to calculate the energy storage charging and discharging capacity of the energy storage power station in the peak load shifting mode. The disclosure can improve the calculation accuracy of the charging and discharging capacity of the energy storage power station in the power system.

Description

Technical Field

[0001] This invention relates to the field of power grid technology, and in particular to a method, apparatus, and electronic equipment for determining the charging and discharging capacity of an energy storage power station. Background Technology

[0002] Currently, new energy storage systems in power systems are characterized by dynamic absorption and timely release capabilities. Furthermore, these new energy storage power stations operate in three modes: a new energy integration mode, a peak shaving and valley filling mode, and a standby mode. The new energy integration mode, working in conjunction with wind and solar power plants, can improve the intermittency, volatility, and randomness of wind and solar power, thereby enhancing their integration. The peak shaving and valley filling mode can reduce peak electricity consumption and decrease installed capacity, thus solving the difficulties of off-peak peak regulation and improving unit efficiency. The standby mode can alleviate the pressure on conventional unit standby configurations and reduce losses during energy storage charging and discharging.

[0003] In existing technologies, mechanical energy storage modes such as pumped hydro storage are typically used to calculate the charging and discharging of energy storage power stations in power systems. This method simulates the charging and discharging process of new energy storage systems. In peak shaving and valley filling modes and in conjunction with new energy consumption modes, only a single charging and discharging cycle is considered for simulation calculation, resulting in low accuracy in the calculation of energy storage charging and discharging. Summary of the Invention

[0004] This disclosure provides a method, apparatus, electronic device, and storage medium for determining the charge and discharge quantities of an energy storage power station, in order to solve the problem of low accuracy in calculating the charge and discharge quantities of energy storage power stations in power systems.

[0005] According to one aspect of this disclosure, a method for determining the charge and discharge capacity of an energy storage power station is provided, comprising:

[0006] Predict the initial maximum charging capacity of the energy storage power station;

[0007] The operating mode of the energy storage power station is determined, namely: cooperating with the new energy consumption mode or the peak shaving and valley filling mode;

[0008] When the energy storage power station operates in a mode that is compatible with the new energy consumption mode, the first calculation method corresponding to the new energy consumption mode is used to calculate the energy storage charging and discharging amount of the energy storage power station in the new energy consumption mode.

[0009] When the energy storage power station operates in peak shaving and valley filling mode, the second calculation method corresponding to the peak shaving and valley filling mode is used to calculate the energy storage charging and discharging amount of the energy storage power station in the peak shaving and valley filling mode.

[0010] According to another aspect of this disclosure, a device for determining the charge and discharge quantities of an energy storage power station is provided, comprising:

[0011] The first prediction module is used to predict the initial maximum charging capacity of the energy storage power station.

[0012] The first determining module is used to determine the operating mode of the energy storage power station, wherein the operating mode is: cooperating with the new energy consumption mode or the peak shaving and valley filling mode;

[0013] The first calculation module is used to calculate the energy storage charging and discharging amount of the energy storage station under the new energy consumption mode by adopting the first calculation method corresponding to the new energy consumption mode when the operation mode of the energy storage station is the new energy consumption mode.

[0014] The second calculation module is used to calculate the energy storage charging and discharging amount of the energy storage power station under the peak shaving and valley filling mode by using the second calculation method corresponding to the peak shaving and valley filling mode when the operation mode of the energy storage power station is the peak shaving and valley filling mode.

[0015] According to another aspect of this disclosure, an electronic device is provided, comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method for determining the charge and discharge quantities of the energy storage power station provided in this disclosure.

[0019] According to another aspect of this disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause the computer to execute the method for determining the charge and discharge quantities of an energy storage power station provided in this disclosure.

[0020] In this disclosure, the initial maximum charging capacity of the energy storage power station is first predicted, then the corresponding operating mode of the energy storage power station is determined, and based on the determined operating mode of the energy storage power station, the corresponding calculation method is selected to calculate the charging and discharging capacity of the energy storage power. This method can improve the calculation accuracy of the charging and discharging capacity of the energy storage power station in the power system.

[0021] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0022] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0023] Figure 1 This is a flowchart of a method for determining the charging and discharging capacity of an energy storage power station provided in this disclosure;

[0024] Figure 2 This is another flowchart of a method for determining the charging and discharging capacity of an energy storage power station provided in this disclosure;

[0025] Figure 3 This is another flowchart of a method for determining the charging and discharging capacity of an energy storage power station provided in this disclosure;

[0026] Figure 4 This is a schematic diagram of parameters provided in this public disclosure for the new energy consumption model;

[0027] Figure 5 This is a coordinate diagram of the load curve and the charge / discharge baseline provided in this disclosure;

[0028] Figure 6 This is a coordinate diagram of the load curve and the charge / discharge baseline provided in this disclosure;

[0029] Figure 7 This is a coordinate diagram of the load curve and the charge / discharge baseline provided in this disclosure;

[0030] Figure 8 This is another flowchart of a method for determining the charging and discharging capacity of an energy storage power station provided in this disclosure;

[0031] Figure 9 This is a structural diagram of a device for determining the charge and discharge capacity of an energy storage power station provided in this disclosure;

[0032] Figure 10 This is another structural diagram of a device for determining the charge and discharge capacity of an energy storage power station provided in this disclosure;

[0033] Figure 11 This is another structural diagram of a device for determining the charge and discharge capacity of an energy storage power station provided in this disclosure;

[0034] Figure 12 This is another structural diagram of a device for determining the charge and discharge capacity of an energy storage power station provided in this disclosure;

[0035] Figure 13 This is a block diagram of an electronic device used to implement the method for determining the charge and discharge quantities of an energy storage power station according to embodiments of the present disclosure. Detailed Implementation

[0036] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0037] Please see Figure 1 , Figure 1 This is a flowchart of a method for determining the charging and discharging capacity of an energy storage power station, as provided in this disclosure. Figure 1 As shown, it includes the following steps:

[0038] S101, Predict the initial maximum charging capacity of the energy storage power station.

[0039] The prediction of the initial maximum charging capacity can be obtained by calculating the parameters in the energy storage power station. Typically, it can be obtained by multiplying the energy storage capacity and the energy storage duration in the energy storage power station.

[0040] In addition to obtaining the aforementioned energy storage capacity and storage duration, other parameters of the energy storage power station can also be obtained, such as the corresponding load curve, renewable energy absorption capacity, renewable energy curtailment curve, and conversion efficiency. This embodiment of the invention does not limit the scope of these parameters.

[0041] S102. Determine the operating mode of the energy storage power station, wherein the operating mode is: in conjunction with the new energy consumption mode or the peak shaving and valley filling mode.

[0042] The operation mode of the aforementioned energy storage power station can be determined by selecting and judging corresponding parameters. Among them, the energy storage power station in the above-mentioned new energy consumption mode can be combined with wind power and photovoltaic power station to improve the intermittency, volatility and randomness of wind and solar power. The energy storage power station in the above-mentioned peak shaving and valley filling mode can reduce peak electricity consumption and reduce installed capacity, thereby improving the efficiency of the unit.

[0043] In addition, the above-mentioned energy storage power station can also operate in standby mode. In standby mode, the energy storage power station can reduce the pressure of standby configuration of conventional units and reduce the loss of energy storage charging and discharging conversion.

[0044] S103. When the operation mode of the energy storage power station is the new energy consumption mode, the first calculation method corresponding to the new energy consumption mode is used to calculate the energy storage charging and discharging amount of the energy storage power station under the new energy consumption mode.

[0045] Before adopting the first calculation method corresponding to the above-mentioned new energy consumption mode, the new energy consumption space and abandoned electricity corresponding to the new energy consumption mode can be calculated based on the relevant parameters of the energy storage power station. It should be noted that the above-mentioned new energy consumption space and abandoned electricity can also be obtained directly.

[0046] The first calculation method is determined based on the new energy consumption space and the amount of abandoned new energy consumption. The charging and discharging capacity of the energy storage power station under the corresponding new energy consumption mode is obtained based on the first calculation method.

[0047] The charging and discharging capacity of the energy storage station can be directly calculated from the renewable energy consumption space and the renewable energy waste. Alternatively, the working time of the energy storage station can be divided into segments, and the remaining energy storage capacity and discharge capacity can be calculated for each segment. After all segments have been calculated, the charging and discharging capacity of the energy storage station can be obtained, which is the energy storage charging and discharging capacity.

[0048] In addition, the charging and discharging amounts of the obtained energy storage power station can be balanced. That is, when the energy storage charging amount is greater than the energy storage discharging amount, the corresponding charging period needs to be found and the charging amount is deducted in order to achieve energy storage balance.

[0049] S104. When the operation mode of the energy storage power station is peak shaving and valley filling mode, the second calculation method corresponding to the peak shaving and valley filling mode is used to calculate the energy storage charging and discharging amount of the energy storage power station under the peak shaving and valley filling mode.

[0050] Before adopting the second calculation method corresponding to the above peak shaving and valley filling mode, the energy storage load curve corresponding to the peak shaving and valley filling mode can be calculated based on the relevant parameters of the energy storage power station. It should be noted that the above energy storage load curve can be obtained directly.

[0051] The second calculation method is determined based on the characteristics of the energy storage load curve and the initial maximum charging amount. The charging and discharging amounts of the energy storage power station under the corresponding peak shaving and valley filling mode are obtained based on the second calculation method.

[0052] The charging and discharging quantities of an energy storage power station can be determined by the energy storage load curve, charging baseline, and discharging baseline. For example, the actual charging quantity and maximum discharging quantity can be calculated by the load curve, charging baseline, and the initial maximum charging quantity mentioned above. Then, the final charging and discharging quantity can be obtained based on the discharging baseline, which gives the energy storage charging and discharging quantity of the energy storage power station in the peak shaving and valley filling mode.

[0053] It should be noted that the above calculation of energy storage charging and discharging capacity can be performed interval by interval based on the charging and discharging interval of the energy storage power station.

[0054] In this implementation plan, the initial maximum charging capacity of the energy storage power station is first predicted, and then the corresponding operating mode of the energy storage power station is determined. Based on the determined operating mode of the energy storage power station, the corresponding calculation method is selected to calculate the charging and discharging capacity of the energy storage power station according to the obtained initial maximum charging capacity and the operating mode of the energy storage power station. This method can improve the calculation accuracy of the charging and discharging capacity of the energy storage power station in the power system.

[0055] As an optional implementation, after determining the operating mode of the energy storage power station, the method further includes: acquiring a first set of parameter data, the first set of parameter data including at least one of the following: energy storage capacity, energy storage duration, and standby capacity; and determining first energy storage data based on the first set of parameter data, the first energy storage data representing the energy storage standby capacity of the energy storage power station in standby mode.

[0056] The aforementioned first energy storage data represents the parameters of the energy storage power station in standby mode, which can reflect the working performance status of the energy storage power station in standby mode.

[0057] In this implementation plan, in addition to the renewable energy integration and peak shaving / valley filling modes, energy storage power stations can also operate as backup power stations. In backup mode, a first set of parameters for the energy storage power station needs to be obtained. This first set of parameters may include energy storage capacity, energy storage duration, and backup capacity. The backup capacity of the energy storage power station in backup mode is determined using this first set of parameters. This method allows for the selection of a more suitable operating mode for the energy storage power station during calculations, improving the accuracy of calculating the performance parameters of the energy storage power station within the power system.

[0058] It should be noted that the addition of a standby mode means that the energy storage power station has another option for determining the operating mode. (See also...) Figure 2 , Figure 2 A flowchart of an energy storage power station under different operating modes. Figure 2 First, the initial maximum charging capacity is calculated based on known energy storage parameters. Then, the corresponding operating mode of the energy storage power station is determined. In standby mode, relevant energy storage parameters are calculated or input, and the energy storage standby capacity is determined based on the maximum energy storage capacity and energy storage duration in the relevant energy storage parameters. In peak shaving and valley filling mode, the load curve of the energy storage power station is calculated or input, and a second calculation method is determined based on the characteristics of the load curve, thereby calculating the energy storage charging and discharging capacity of the energy storage power station. In the mode of cooperating with renewable energy consumption, the renewable energy consumption space and the amount of abandoned electricity are calculated or input, and a first calculation method is determined based on the consumption space and the amount of abandoned electricity, thereby calculating the energy storage charging and discharging capacity of the energy storage power station.

[0059] As an optional implementation, when the operation mode of the energy storage power station is a mode that coordinates with the consumption of new energy, the first calculation method corresponding to the mode of coordinating with the consumption of new energy is used to calculate the energy storage charging and discharging amount, including: dividing the time period from the start to the end of the operation of the energy storage power station into M time periods, and updating a first parameter group, the first parameter group including at least one of the following: new energy consumption space, new energy abandoned power, current remaining energy storage capacity, and current dischargeable amount; updating the remaining energy storage capacity and dischargeable amount for the M time periods according to the initial maximum charging amount; and determining the energy storage charging and discharging amount according to the remaining energy storage capacity and the dischargeable amount.

[0060] The above division of the time period from the start to the end of operation of the energy storage power station into M time periods can be based on the charging and discharging processes.

[0061] Based on the initial maximum charging capacity, updating the remaining energy storage capacity and discharge capacity for M time periods can be achieved by first determining whether there is any abandoned renewable energy based on the parameters in the first parameter group mentioned above. For example, if there is abandoned renewable energy, the actual charging capacity and remaining charging capacity of the energy storage station are calculated; if there is no abandoned renewable energy, the actual discharging capacity and the charged energy storage capacity are calculated. By combining the parameters obtained in the above two cases, the remaining energy storage capacity and discharge capacity for M time periods are updated.

[0062] In this implementation plan, when cooperating with the renewable energy consumption mode, the energy storage power station first obtains the parameters required for this mode, including the renewable energy consumption capacity and the amount of renewable energy curtailment. Based on the obtained parameters, the remaining energy storage capacity and discharge capacity are updated periodically. Then, the charging and discharging amounts of the energy storage are determined based on these parameters. This method improves the accuracy of calculating the performance parameters of the energy storage power station within the power system by using the amount of renewable energy curtailment and calculating the energy storage charging and discharging amounts periodically.

[0063] It should be noted that after determining the energy storage charge and discharge amount based on the energy storage capacity and discharge amount, it may also include an energy storage balancing process. Specifically, it includes: determining whether an energy storage balancing process is needed based on the magnitude of the energy storage charge and discharge amount. If the energy storage charge is greater than the energy storage discharge amount, it is necessary to start searching for a charging period from the last period of M time periods and deduct the charge amount from the found charging period until energy storage balance is achieved.

[0064] As an optional implementation, please refer to Figure 3The updating of the remaining energy storage capacity and dischargeable capacity for M time periods includes at least one of the following: updating the remaining energy storage capacity and dischargeable capacity for the time period when there is no abandoned renewable energy and no renewable energy consumption space; updating the remaining energy storage capacity and dischargeable capacity for the time period when there is no abandoned renewable energy, renewable energy consumption space, and no charged energy; determining a first relationship between renewable energy consumption space and charged energy storage capacity when there is no abandoned renewable energy, renewable energy consumption space, and charged energy, calculating the actual discharge capacity and charged energy storage capacity based on the first relationship, and updating the remaining energy storage capacity and dischargeable capacity for the time period; updating the remaining energy storage capacity and dischargeable capacity for the time period when there is abandoned renewable energy and no remaining energy storage capacity; and calculating the maximum charging capacity and determining a second relationship between the remaining charging capacity and the maximum charging capacity when there is abandoned renewable energy and remaining energy storage capacity, calculating the actual charging capacity and remaining charging capacity based on the second relationship, and updating the remaining energy storage capacity and dischargeable capacity for the time period.

[0065] In addition, such as Figure 3 As shown, after obtaining the charging and discharging amounts of the aforementioned energy storage, an energy storage balancing process is also included. When the energy storage charging amount is greater than the energy storage discharging amount, it is necessary to find the charging period from the end of the M time periods and achieve energy storage balance by deducting the charging amount; when the energy storage charging amount is less than or equal to the energy storage discharging amount, the energy storage charging and discharging amounts obtained by the above method are directly used as the required energy storage charging and discharging amounts.

[0066] It should be noted that when there is both abandoned renewable energy and remaining energy storage capacity, the aforementioned maximum charging capacity needs to be obtained. The calculation of this maximum charging capacity can be found in [reference needed]. Figure 4 ,like Figure 4 As shown, the first dashed line represents the renewable energy consumption space in one of the M time periods, and the distance between the first and second dashed lines represents the size of the energy storage capacity. That is, the maximum charging capacity can be the area between the first and second dashed lines.

[0067] This implementation scheme divides the parameters under different scenarios in the new energy consumption mode, generating corresponding calculation methods for each scenario. Based on the determination of the existence of new energy curtailment, it generates the actual charging amount and remaining charging amount when the curtailment exists, and the actual discharging amount and energy storage charged amount when the curtailment does not exist. Each of the M time periods requires the calculation steps described above to obtain either the actual charging amount and remaining charging amount or the actual discharging amount and energy storage charged amount for the M time periods. The parameters from both scenarios are integrated and updated to obtain the remaining energy storage capacity and dischargeable amount. This method can calculate the performance parameters of energy storage power stations in the power system under different scenarios in the new energy consumption mode, thereby improving the accuracy of calculation.

[0068] As an optional implementation, when the energy storage power station operates in a peak-shaving and valley-filling mode, a second calculation method corresponding to the peak-shaving and valley-filling mode is used to calculate the energy storage charging and discharging capacity of the energy storage power station under the new energy consumption mode. This includes: obtaining the load curve and charging / discharging baseline of the energy storage power station; constructing a first coordinate system based on the load curve and the charging baseline, wherein the first coordinate system represents the interaction relationship between the load curve and the charging baseline; dividing the first coordinate system into N charging / discharging regions, calculating the actual charging capacity and the maximum discharging capacity based on the initial maximum charging capacity, wherein the actual charging capacity is the area enclosed by the load curve and the charging / discharging baseline, and the maximum discharging capacity is the product of the actual charging capacity and the conversion efficiency; constructing a second coordinate system based on the load curve and the discharging baseline, wherein the second coordinate system represents the interaction relationship between the load curve and the discharging baseline; calculating the actual discharging capacity based on the second coordinate system, wherein the actual discharging capacity is the area enclosed by the load curve and the discharging baseline; and integrating the actual charging capacity, the actual discharging capacity, and the maximum discharging capacity of the above N charging / discharging regions to obtain the energy storage charging and discharging capacity.

[0069] Before constructing the first and second coordinate systems mentioned above, the load curve and charge / discharge baseline can be obtained.

[0070] The above N charging and discharging regions can be divided according to the charging and discharging processes.

[0071] It should be noted that in the first coordinate system mentioned above, it is necessary to determine whether there are multiple intersecting parts between the load curve and the charging / discharging baseline. If there are multiple intersecting parts, the first coordinate system needs to be divided into charging / discharging regions. If there are no multiple intersecting parts, the actual charging amount and maximum discharging amount can be obtained directly from the load curve and the charging baseline.

[0072] Please see Figure 5 , Figure 6and Figure 7 , Figure 5 , Figure 6 and Figure 7 The coordinate system diagrams corresponding to different interaction relationships are as follows: Figure 5 As shown, the load curve and the charge / discharge baseline each intersect in only one region, as follows: Figure 6 As shown, if the load curve and the charging baseline intersect in only one region, and the load curve and the discharging baseline intersect in multiple regions, then it is necessary to follow... Figure 6 The partitions are divided using dashed lines, such as... Figure 7 As shown, the load curve and the charge / discharge baseline each have multiple intersecting regions, so it is necessary to follow... Figure 7 The system is divided into zones by dashed lines. Each zone can be charged and discharged using peak shaving and valley filling techniques. Here, P1 represents the discharge baseline, P2 the charging baseline, S1 the highest load point, and S2 the lowest load point.

[0073] In this implementation, under peak shaving and valley filling mode, the energy storage power station first acquires its load curve and charging / discharging baseline. Based on the interaction between the coordinate system formed by the load curve and the charging baseline, and the initial maximum charging amount, the actual charging amount and maximum discharging amount are determined. Then, based on the interaction between the coordinate system formed by the load curve and the discharging baseline, the actual discharging amount is determined. Finally, the charging and discharging amounts of the energy storage are obtained by integrating the actual discharging amount, the actual charging amount, and the maximum discharging amount. This method calculates different scenarios involving the load curve and the charging / discharging baseline, improving the accuracy of calculating the performance parameters of the energy storage power station within the power system.

[0074] As an optional implementation, the step of dividing the first coordinate system into N charging and discharging regions and calculating the actual charging amount and maximum discharging amount based on the initial maximum charging amount includes: obtaining the first interaction area between the charging baseline and the load curve in the first coordinate system; if the first interaction area is greater than the initial maximum charging amount, moving the charging baseline in the first coordinate system downwards; if the first interaction area is less than the maximum charging amount, moving the charging baseline in the first coordinate system upwards, until the difference between the first interaction area and the initial maximum charging amount is within a preset tolerance range; and determining the actual charging amount and the maximum discharging amount based on the updated first coordinate system.

[0075] In this implementation scheme, by determining the area enclosed by the charging baseline and the load curve and the magnitude of the initial maximum charging amount, the charging baseline is shifted vertically to ensure that the area enclosed by the charging baseline and the load curve differs from the initial maximum charging amount within the tolerance range, thereby improving the accuracy of the calculation.

[0076] As an optional implementation, calculating the actual discharge amount based on the second coordinate system includes: obtaining the second interaction area between the discharge baseline and the load curve in the second coordinate system; if the second interaction area is greater than the maximum discharge amount, moving the discharge baseline in the second coordinate system upwards; if the second interaction area is less than the maximum discharge amount, moving the discharge baseline in the second coordinate system downwards, until the difference between the second interaction area and the maximum discharge amount is within a preset tolerance range; and determining the actual discharge amount based on the updated second coordinate system.

[0077] In this implementation scheme, by judging the area enclosed by the discharge baseline and the load curve and the magnitude of the maximum discharge, the discharge baseline is shifted up and down so that the area enclosed by the discharge baseline and the load curve and the maximum discharge are within the tolerance range, thereby improving the accuracy of the calculation.

[0078] As an optional implementation method, such as Figure 8 As shown, Figure 8 This is one implementation method for calculating the charging and discharging quantities of energy storage power stations under the peak shaving and valley filling mode.

[0079] First, obtain the load curve and charging / discharging baseline in the energy storage power station, and determine whether there is an intersection area between the load curve and the charging baseline. If there is an intersection area, divide the power storage power station into multiple charging / discharging regions so that the charging / discharging regions correspond one-to-one. Then, calculate the area of ​​the intersection area between the charging baseline and the load curve in each region, which is the first interaction area.

[0080] If the first interaction area is greater than the initial maximum charging amount, the charging baseline in the first coordinate system is moved downwards; if the first interaction area is less than the maximum charging amount, the charging baseline in the first coordinate system is moved upwards, until the difference between the first interaction area and the initial maximum charging amount is within a preset tolerance range; the actual charging amount and the maximum discharging amount are determined based on the updated first coordinate system.

[0081] Then, the second interaction area between the discharge baseline and the load curve in the second coordinate system is obtained; if the second interaction area is greater than the maximum discharge amount, the discharge baseline in the second coordinate system is moved upward; if the second interaction area is less than the maximum discharge amount, the discharge baseline in the second coordinate system is moved downward, until the difference between the second interaction area and the maximum discharge amount is within a preset tolerance range; the actual discharge amount is determined based on the updated second coordinate system.

[0082] The relationship between the discharge baseline and the charging baseline is determined. If the discharge baseline is less than or equal to the charging baseline, the charging and discharging baselines need to be readjusted, and the relationship between the charging baseline and the discharge baseline needs to be determined again. If the discharge baseline is not equal to the charging baseline, the process needs to return to the step of calculating the interaction area between the charging baseline and the load curve. If the discharge baseline is equal to the charging baseline, it needs to be determined again whether each charging and discharging area has been calculated. Finally, the charging and discharging amount of the energy storage power station in the peak shaving and valley filling mode is obtained.

[0083] If the discharge baseline is greater than the charging baseline, it is necessary to determine whether the baseline has been adjusted. If the baseline has been adjusted, the process should proceed to the step of determining whether the discharge baseline is equal to the charging baseline.

[0084] If the discharge baseline is greater than the charging baseline, and the baseline has not been adjusted, then it is determined whether each charging and discharging zone has been calculated, and finally the charging and discharging amount of the energy storage power station in the peak shaving and valley filling mode is obtained.

[0085] It should be noted that if there are any missing charging and discharging areas that have not been calculated, it is necessary to return to the step of calculating the area of ​​the interaction region between the charging baseline and the load curve.

[0086] Please see Figure 9 , Figure 9 This disclosure provides a device for determining the charge and discharge quantities of an energy storage power station, such as... Figure 9 As shown, the energy storage power station's charge / discharge determination device 900 includes:

[0087] The first prediction module 901 is used to predict the initial maximum charging capacity of the energy storage power station.

[0088] The first determining module 902 is used to determine the operating mode of the energy storage power station, wherein the operating mode is: cooperating with the new energy consumption mode or the peak shaving and valley filling mode;

[0089] The first calculation module 903 is used to calculate the energy storage charging and discharging amount of the energy storage power station under the new energy consumption mode by using the first calculation method corresponding to the new energy consumption mode when the operation mode of the energy storage power station is the new energy consumption mode.

[0090] The second calculation module 904 is used to calculate the energy storage charging and discharging amount of the energy storage power station in the peak shaving and valley filling mode by using the second calculation method corresponding to the peak shaving and valley filling mode when the operation mode of the energy storage power station is the peak shaving and valley filling mode.

[0091] Optional, such as Figure 10 As shown, the energy storage power station's charge / discharge determination device 900 further includes:

[0092] The first acquisition module 905 is used to acquire a first parameter group data, which includes at least one of the following: energy storage capacity, energy storage duration and standby capacity.

[0093] The second determining module 906 is used to determine the first energy storage data based on the first parameter group data, wherein the first energy storage data represents the energy storage backup capacity of the energy storage power station in standby mode.

[0094] Optional, such as Figure 11 As shown, the first computing module 903 includes:

[0095] The first update unit 9031 is used to divide the time period from the start to the end of the operation of the energy storage power station into M time periods and update the first parameter group. The first parameter group includes at least one of the following: new energy consumption space, new energy abandoned electricity, current remaining energy storage capacity and current discharge capacity.

[0096] The second update unit 9032 is used to update the remaining energy storage capacity and discharge capacity for M time periods based on the initial maximum charging capacity.

[0097] The first determining unit 9033 is used to determine the energy storage charge / discharge amount based on the remaining energy storage capacity and the dischargeable amount.

[0098] Optionally, the second updating unit 9032 includes: updating the remaining energy storage capacity and dischargeable capacity for the current period when there is no abandoned renewable energy and no renewable energy consumption space; updating the remaining energy storage capacity and dischargeable capacity for the current period when there is no abandoned renewable energy, renewable energy consumption space, and no charged capacity; determining a first relationship between renewable energy consumption space and charged energy storage capacity when there is no abandoned renewable energy, renewable energy consumption space, and charged capacity, calculating the actual discharge capacity and charged energy storage capacity based on the first relationship, and updating the remaining energy storage capacity and dischargeable capacity for the current period; updating the remaining energy storage capacity and dischargeable capacity for the current period when there is abandoned renewable energy and no remaining energy storage capacity; and calculating the maximum charging capacity and determining a second relationship between the remaining charging capacity and the maximum charging capacity when there is abandoned renewable energy and remaining energy storage capacity, calculating the actual charging capacity and remaining charging capacity based on the second relationship, and updating the remaining energy storage capacity and dischargeable capacity for the current period.

[0099] Optional, such as Figure 12 As shown, the second calculation module 904 includes:

[0100] The first acquisition unit 9041 is used to acquire the load curve and charging / discharging baseline of the energy storage power station;

[0101] A first coordinate system is constructed based on the load curve and the charging baseline, the first coordinate system representing the interaction relationship between the load curve and the charging baseline;

[0102] The second determining unit 9042 is used to divide the first coordinate system into N charging and discharging regions, and calculate the actual charging amount and the maximum discharging amount based on the initial maximum charging amount. The actual charging amount is the area enclosed by the load curve and the charging and discharging baseline, and the maximum discharging amount is the product of the actual charging amount and the conversion efficiency.

[0103] The first construction unit 9043 is used to construct a second coordinate system based on the load curve and the discharge baseline, wherein the second coordinate system represents the interaction relationship between the load curve and the discharge baseline;

[0104] The first calculation unit 9044 is used to calculate the actual discharge amount based on the second coordinate system, wherein the actual discharge amount is the area enclosed by the load curve and the discharge baseline.

[0105] The first integration unit 9045 is used to integrate the actual charging amount, the actual discharging amount and the maximum discharging amount of the above N charging and discharging regions to obtain the energy storage charging and discharging amount.

[0106] Optionally, the second determining unit 9042 includes: obtaining a first interaction area between the charging baseline and the load curve in the first coordinate system; if the first interaction area is greater than the initial maximum charging amount, moving the charging baseline in the first coordinate system downwards; if the first interaction area is less than the maximum charging amount, moving the charging baseline in the first coordinate system upwards, until the difference between the first interaction area and the initial maximum charging amount is within a preset tolerance range; and determining the actual charging amount and the maximum discharging amount based on the updated first coordinate system.

[0107] Optionally, the first calculation unit 9044 includes: obtaining the second interaction area between the discharge baseline and the load curve in the second coordinate system; moving the discharge baseline in the second coordinate system upward when the second interaction area is greater than the maximum discharge amount, and moving the discharge baseline in the second coordinate system downward when the second interaction area is less than the maximum discharge amount, until the difference between the second interaction area and the maximum discharge amount is within a preset tolerance range; and determining the actual discharge amount based on the updated second coordinate system.

[0108] According to embodiments of this disclosure, this disclosure also provides an electronic device and a readable storage medium.

[0109] Figure 13A schematic block diagram of an example electronic device 1300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0110] like Figure 13 As shown, device 1300 includes a computing unit 1301, which can perform various appropriate actions and processes according to a computer program stored in read-only memory (ROM) 1302 or a computer program loaded from storage unit 1308 into random access memory (RAM) 1303. The RAM 1303 may also store various programs and data required for the operation of device 1300. The computing unit 1301, ROM 1302, and RAM 1303 are interconnected via bus 1304. Input / output (I / O) interface 1305 is also connected to bus 1304.

[0111] Multiple components in device 1300 are connected to I / O interface 1305, including: input unit 1306, such as keyboard, mouse, etc.; output unit 1307, such as various types of monitors, speakers, etc.; storage unit 1308, such as disk, optical disk, etc.; and communication unit 1309, such as network card, modem, wireless transceiver, etc. Communication unit 1309 allows device 1300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0112] The computing unit 1301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 1301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 1301 performs the various methods and processes described above, such as the method for determining the charge and discharge quantities of an energy storage power station.

[0113] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0115] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0116] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0117] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0118] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0119] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0120] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for determining the charging and discharging capacity of an energy storage power station, characterized in that, include: Predict the initial maximum charging capacity of the energy storage power station; The operating mode of the energy storage power station is determined, namely: cooperating with the new energy consumption mode or the peak shaving and valley filling mode; When the energy storage power station operates in a mode that is compatible with the new energy consumption mode, the first calculation method corresponding to the new energy consumption mode is used to calculate the energy storage charging and discharging amount of the energy storage power station in the new energy consumption mode. When the energy storage power station operates in peak shaving and valley filling mode, the second calculation method corresponding to the peak shaving and valley filling mode is used to calculate the energy storage charging and discharging amount of the energy storage power station in the peak shaving and valley filling mode. Wherein, when the energy storage power station operates in a mode that coordinates with renewable energy consumption, the first calculation method corresponding to the renewable energy consumption mode is used to calculate the energy storage charging and discharging capacity of the energy storage power station under the renewable energy consumption mode, including: The time period from the start to the end of operation of the energy storage power station is divided into M time periods, and the first parameter group is updated. The first parameter group includes at least one of the following: new energy consumption space, new energy abandoned electricity, current remaining energy storage capacity, and current discharge capacity. Based on the initial maximum charging amount, update the remaining energy storage capacity and discharge capacity for M time periods; The energy storage charge / discharge amount is determined based on the remaining energy storage capacity and the dischargeable amount; Wherein, when the energy storage power station operates in peak shaving and valley filling mode, the second calculation method corresponding to the peak shaving and valley filling mode is used to calculate the energy storage charging and discharging amount of the energy storage power station in the peak shaving and valley filling mode, including: Obtain the load curve and charge / discharge baseline of the energy storage power station. The charge / discharge baseline includes a charging baseline and a discharging baseline. The charge / discharge baseline is used to determine the charging range and discharging range of the energy storage power station in the coordinate system formed by the load curve. A first coordinate system is constructed based on the load curve and the charging baseline, the first coordinate system representing the interaction relationship between the load curve and the charging baseline; The first coordinate system is divided into N charging and discharging regions. The actual charging amount and the maximum discharging amount are calculated based on the initial maximum charging amount. The actual charging amount is the area enclosed by the load curve and the charging and discharging baseline. The maximum discharging amount is the product of the actual charging amount and the conversion efficiency. A second coordinate system is constructed based on the load curve and the discharge baseline, and the second coordinate system represents the interaction between the load curve and the discharge baseline; The actual discharge quantity is calculated based on the second coordinate system, whereby the actual discharge quantity is the area enclosed by the load curve and the discharge baseline. The energy storage charge / discharge amount is obtained by integrating the actual charge amount, the actual discharge amount, and the maximum discharge amount of the above N charge / discharge regions.

2. The method for determining the charging and discharging capacity of an energy storage power station according to claim 1, characterized in that, After determining the operating mode of the energy storage power station, the method further includes: Acquire first parameter group data, which includes at least one of the following: energy storage capacity, energy storage duration, and standby capacity; The first energy storage data is determined based on the first parameter group data, and the first energy storage data represents the energy storage backup capacity of the energy storage power station in standby mode.

3. The method for determining the charging and discharging capacity of an energy storage power station according to claim 1, characterized in that, The updating of the remaining energy storage capacity and discharge capacity for M time periods includes at least one of the following: In the absence of any abandoned renewable energy and no space for renewable energy consumption, update the remaining energy storage capacity and discharge capacity for this period. If there is no abandoned renewable energy, there is room for renewable energy consumption, and there is no already charged energy, update the remaining energy storage capacity and discharge capacity for this period. In the case that there is no abandoned renewable energy, there is renewable energy consumption space, and there is already charged energy, determine the first size relationship between renewable energy consumption space and the already charged energy storage in the current period, calculate the actual discharge amount and the already charged energy storage in the next period after the current period based on the first size relationship, and update the remaining energy storage capacity and dischargeable amount in that period. In the case of abandoned renewable energy and no remaining energy storage capacity, update the remaining energy storage capacity and discharge capacity for that period. In the case of abandoned renewable energy and remaining energy storage capacity, the maximum charging capacity is calculated and the second relationship between the remaining charging capacity and the maximum charging capacity is determined. Based on the second relationship, the actual charging capacity and the remaining charging capacity are calculated, and the remaining energy storage capacity and the discharge capacity for that period are updated.

4. The method for determining the charging and discharging capacity of an energy storage power station according to claim 1, characterized in that, The method involves dividing the first coordinate system into N charging and discharging regions, and calculating the actual charging amount and maximum discharging amount based on the initial maximum charging amount, including: Obtain the first interaction area between the charging baseline and the load curve in the first coordinate system; If the first interaction area is greater than the initial maximum charging amount, the charging baseline in the first coordinate system is moved downward; if the first interaction area is less than the maximum charging amount, the charging baseline in the first coordinate system is moved upward, until the difference between the first interaction area and the initial maximum charging amount is within a preset tolerance range. The actual charge amount and the maximum discharge amount are determined based on the updated first coordinate system.

5. The method for determining the charge and discharge capacity of an energy storage power station according to claim 1, characterized in that, The calculation of the actual discharge amount based on the second coordinate system includes: Obtain the second interaction area between the discharge baseline and the load curve in the second coordinate system; When the second interaction area is greater than the maximum discharge amount, the discharge baseline in the second coordinate system is moved upward; when the second interaction area is less than the maximum discharge amount, the discharge baseline in the second coordinate system is moved downward, until the difference between the second interaction area and the maximum discharge amount is within a preset tolerance range. The actual discharge amount is determined based on the updated second coordinate system.

6. A device for determining the charge and discharge quantities of an energy storage power station, characterized in that, include: The first prediction module is used to predict the initial maximum charging capacity of the energy storage power station. The first determining module is used to determine the operating mode of the energy storage power station, wherein the operating mode is: cooperating with the new energy consumption mode or the peak shaving and valley filling mode; The first calculation module is used to calculate the energy storage charging and discharging amount of the energy storage station under the new energy consumption mode by adopting the first calculation method corresponding to the new energy consumption mode when the operation mode of the energy storage station is the new energy consumption mode. The second calculation module is used to calculate the energy storage charging and discharging amount of the energy storage power station under the peak shaving and valley filling mode by using the second calculation method corresponding to the peak shaving and valley filling mode when the operation mode of the energy storage power station is the peak shaving and valley filling mode. The first calculation module is specifically used for: The time period from the start to the end of operation of the energy storage power station is divided into M time periods, and the first parameter group is updated. The first parameter group includes at least one of the following: new energy consumption space, new energy abandoned electricity, current remaining energy storage capacity, and current discharge capacity. Based on the initial maximum charging amount, update the remaining energy storage capacity and discharge capacity for M time periods; The energy storage charge / discharge amount is determined based on the remaining energy storage capacity and the dischargeable amount; The second calculation module is specifically used for: Obtain the load curve and charge / discharge baseline of the energy storage power station. The charge / discharge baseline includes a charging baseline and a discharging baseline. The charge / discharge baseline is used to determine the charging range and discharging range of the energy storage power station in the coordinate system formed by the load curve. A first coordinate system is constructed based on the load curve and the charging baseline, the first coordinate system representing the interaction relationship between the load curve and the charging baseline; The first coordinate system is divided into N charging and discharging regions. The actual charging amount and the maximum discharging amount are calculated based on the initial maximum charging amount. The actual charging amount is the area enclosed by the load curve and the charging and discharging baseline. The maximum discharging amount is the product of the actual charging amount and the conversion efficiency. A second coordinate system is constructed based on the load curve and the discharge baseline, and the second coordinate system represents the interaction between the load curve and the discharge baseline; The actual discharge quantity is calculated based on the second coordinate system, whereby the actual discharge quantity is the area enclosed by the load curve and the discharge baseline. The energy storage charge / discharge amount is obtained by integrating the actual charge amount, the actual discharge amount, and the maximum discharge amount of the above N charge / discharge regions.

7. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1 to 5.

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