Calculation methods and devices for energy storage equipment

Abstract

This application relates to a method and apparatus for calculating energy storage equipment. The method includes: acquiring load data, photovoltaic power generation data, and user data; determining the hourly charging volume, hourly discharging volume, or hourly photovoltaic surplus power consumption of the energy storage equipment at different time periods based on at least one of the load data, photovoltaic power generation data, user data, and a preset photovoltaic surplus power consumption strategy; linking the preset photovoltaic surplus power consumption strategy to electricity prices; determining the annual revenue based on the hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption of the energy storage equipment at different time periods throughout the year; and determining the payback period based on the annual revenue and total cost. Through the aforementioned method, the operational logic of the energy storage equipment under different electricity price scenarios can be accurately obtained, making the determined hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption more closely reflect actual operating data. This improves the accuracy of the annual revenue and payback period, thereby enabling a more accurate evaluation of the energy storage equipment setup.

Description

Technical Field

[0001] This application relates to the field of energy storage system technology, and in particular to a method and apparatus for calculating energy storage devices. Background Technology

[0002] Energy storage devices are devices that can store electrical energy and release it when needed. They are widely used in industrial and commercial sectors, providing power during grid outages and storing lower-priced photovoltaic electricity to reduce electricity costs. Due to the high investment cost of energy storage devices, users need to predict the scale of the installation and the investment payback period before installing them.

[0003] Traditional technologies typically employ manual calculations based on the Excel spreadsheet component. This involves manually processing load data and then calculating the investment payback period using load data, energy storage parameters, and cost information within the Excel spreadsheet component. The aforementioned methods are inefficient in data processing and have a high error rate. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for measuring energy storage devices that can at least improve the accuracy of the above-mentioned technical problems.

[0005] In a first aspect, this application provides a method for calculating the value of an energy storage device, the method comprising:

[0006] Acquire load data, photovoltaic power generation data, and user data;

[0007] Based on at least one of the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy, the hourly charging amount, hourly discharging amount, or hourly photovoltaic surplus power consumption of the energy storage device is determined for different time periods; the preset photovoltaic surplus power consumption strategy is related to the electricity price.

[0008] The annual revenue is determined based on the hourly charging volume, hourly discharging volume, and hourly consumption of surplus photovoltaic power of the energy storage equipment at different times throughout the year.

[0009] The payback period is determined based on annual revenue and total cost.

[0010] In one embodiment, determining the hourly charging amount, hourly discharging amount, or hourly consumption of surplus photovoltaic power of the energy storage device at different time periods based on the load data, the photovoltaic power generation data, the user data, and a preset photovoltaic surplus power consumption strategy includes:

[0011] Based on the load data, the photovoltaic power generation data, and the user data, determine the maximum hourly chargeable amount and the maximum hourly dischargeable amount for different time periods;

[0012] During the preset energy storage charging period, the hourly charging amount of the energy storage device is determined based on the maximum hourly rechargeable amount and the user data.

[0013] During a preset energy storage discharge period, and when the photovoltaic power generation in the photovoltaic power generation data is less than or equal to the load power consumption, the hourly discharge capacity of the energy storage device is determined based on the maximum hourly discharge capacity and the user data.

[0014] During the preset energy storage discharge period, and when the photovoltaic power generation is greater than the load power consumption, the hourly photovoltaic power consumption of the energy storage device is determined based on the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy.

[0015] In one embodiment, the load data includes the load electricity consumption, and the photovoltaic power generation data includes the photovoltaic power generation.

[0016] The step of determining the hourly absorption capacity of surplus photovoltaic power by the energy storage device during the preset energy storage discharge period, when the photovoltaic power generation is greater than the load power consumption, based on the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power absorption strategy, includes:

[0017] In the next preset energy storage charging period after the first preset period, the surplus electricity of the energy storage device is consumed, and the energy storage device is charged by photovoltaic power generation; the hourly consumption of surplus photovoltaic power by the energy storage device is determined based on the load data, the photovoltaic power generation data, and the user data; the first preset period is a preset energy storage discharge period in which the photovoltaic power generation is greater than the load power consumption, and the electricity price of the next preset energy storage charging period is greater than the photovoltaic grid connection price.

[0018] During the next preset energy storage charging period of the second preset period, the energy storage device is not charged; the hourly photovoltaic surplus power consumed by the energy storage device is zero; the second preset period is a preset energy storage discharge period in which the photovoltaic power generation is greater than the load power consumption and the electricity price of the next preset energy storage charging period is less than the photovoltaic grid connection electricity price.

[0019] In one embodiment, the user data includes: the rated power, rated capacity, quantity, depth of discharge, remaining energy storage capacity, charging efficiency, and discharging efficiency of the energy storage device;

[0020] The remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly photovoltaic surplus power consumption, or rated capacity of the energy storage device in the previous period.

[0021] The step of determining the hourly charging capacity of the energy storage device during the preset energy storage charging period, based on the maximum hourly rechargeable capacity and the user data, includes:

[0022] The product of the rated power, the quantity, and the time is used as the first charging amount; the maximum hourly charging amount is used as the second charging amount; the first difference between the product of the rated capacity, the quantity, and the depth of discharge and the remaining energy storage capacity is obtained, and the ratio of the first difference to the charging efficiency is used as the third charging amount.

[0023] The minimum value among the first charging amount, the second charging amount, and the third charging amount is taken as the hourly charging amount of the energy storage device;

[0024] And / or, the step of determining the hourly discharge capacity of the energy storage device based on the maximum hourly discharge capacity and the user data when the photovoltaic power generation in the preset energy storage discharge period is less than or equal to the load power consumption includes:

[0025] The product of the rated power, the quantity, and the time is used as the first discharge quantity; the maximum dischargeable quantity per hour is used as the second discharge quantity; and the product of the remaining energy storage capacity and the discharge efficiency is used as the third discharge quantity.

[0026] The minimum value among the first discharge amount, the second discharge amount, and the third discharge amount is taken as the hourly discharge amount of the energy storage device;

[0027] And / or, determining the hourly absorption capacity of surplus photovoltaic power by the energy storage device based on the load data, the photovoltaic power generation data, and the user data includes:

[0028] The product of the rated power, the quantity, and the time is taken as the first photovoltaic surplus power to be absorbed; the second difference between the photovoltaic power generation and the load power consumption is taken as the second photovoltaic surplus power to be absorbed; the third difference between the product of the rated capacity, the quantity, and the depth of discharge and the remaining energy storage capacity is obtained, and the ratio of the third difference to the charging efficiency is taken as the third photovoltaic surplus power to be absorbed.

[0029] The minimum value among the first, second, and third photovoltaic surplus power consumption is taken as the hourly photovoltaic surplus power consumption.

[0030] In one embodiment, the user data further includes: transformer capacity, maximum load rate, and monthly demand threshold;

[0031] The determination of the maximum hourly chargeable capacity and maximum hourly dischargeable capacity for different time periods based on the load data, the photovoltaic power generation data, and the user data includes:

[0032] Obtain the initial hourly maximum rechargeable amount, and take the maximum value between the initial hourly maximum rechargeable amount and zero as the hourly maximum rechargeable amount;

[0033] Wherein, the initial hourly maximum rechargeable amount is the sum of the product of the transformer capacity, the maximum load rate, and time, and the difference between the photovoltaic power generation and the load power consumption within the hour; or the initial hourly maximum rechargeable amount is the sum of the monthly demand threshold and the difference between the photovoltaic power generation and the load power consumption within the hour.

[0034] Obtain the initial hourly maximum discharge capacity, and take the maximum value between the initial hourly maximum discharge capacity and zero as the hourly maximum discharge capacity. The initial hourly maximum discharge capacity is the difference between the load power consumption and the photovoltaic power generation within the hour.

[0035] In one embodiment, the remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly photovoltaic surplus power consumption, or rated capacity of the energy storage device in the previous time period, including:

[0036] When the energy storage device is used for the first time, the remaining energy storage capacity is the rated capacity or the initial capacity;

[0037] If the previous period was a period for energy storage charging, the remaining energy storage capacity is the sum of the remaining energy storage capacity of the previous period, the product of the hourly charging amount, and the charging efficiency.

[0038] If the previous period was an energy storage discharge period and the photovoltaic power generation was less than or equal to the load power consumption, the remaining energy storage capacity is the difference between the remaining energy storage capacity of the previous period and the ratio of the hourly discharge amount and the discharge efficiency.

[0039] If the previous time period is the first preset time period, the remaining energy storage capacity is the sum of the remaining energy storage capacity of the previous time period, the product of the hourly photovoltaic surplus power consumption, and the charging efficiency.

[0040] In one embodiment, the user data further includes peak and off-peak periods, which include peak periods, high-peak periods, low-peak periods, and low-peak periods; the annual revenue includes the first year's annual revenue;

[0041] The annual revenue is determined based on the hourly charging and discharging capacity of energy storage devices and the hourly consumption of surplus photovoltaic power at different times of the year, including:

[0042] The sum of the products of the total hourly discharge volume during peak hours and the corresponding electricity price, the total hourly discharge volume during peak hours and the corresponding electricity price, the total hourly discharge volume during average hours and the corresponding electricity price, and the total hourly discharge volume during off-peak hours and the corresponding electricity price will be used as the annual discharge revenue for the first year.

[0043] The sum of the following products is used as the annual charging cost for the first year: the sum of the hourly charging volume during peak hours and the corresponding electricity price, the sum of the hourly charging volume during normal hours and the corresponding electricity price, the sum of the hourly charging volume during off-peak hours and the corresponding electricity price, and the sum of the hourly surplus photovoltaic power consumed and the photovoltaic electricity price.

[0044] The difference between the annual discharge revenue and the annual charging cost in the first year is taken as the annual revenue in the first year.

[0045] In one embodiment, the user data further includes a decay rate; the annual revenue includes the first year's annual revenue and the Nth year's annual revenue, where N is an integer greater than 1;

[0046] The product of the first year's annual return and the decay index is taken as the Nth year's annual return, where the decay index is the N-1th power of the difference between 1 and the decay rate.

[0047] In one embodiment, determining the hourly charging amount, hourly discharging amount, or hourly consumption of surplus photovoltaic power of the energy storage device for different time periods based on at least one of the load data, the photovoltaic power generation data, the user data, and a preset photovoltaic surplus power consumption strategy further includes:

[0048] Construct electricity price templates and energy storage templates;

[0049] Import the load data, the photovoltaic power generation data, and the user data into the electricity price template or the energy storage template;

[0050] Based on the data in the electricity price template or the energy storage template, determine the hourly charging amount, hourly discharging amount, or hourly consumption of surplus photovoltaic power of the energy storage device at different times of the year;

[0051] The electricity price template includes fields for peak and off-peak periods, energy storage charging periods, energy storage discharging periods, ideal daily charging duration, number of energy storage devices, load electricity consumption, photovoltaic power generation, monthly demand threshold, applicable months for the energy storage charging period and the energy storage discharging period, and a preset photovoltaic surplus power consumption strategy.

[0052] The energy storage template, based on the electricity price template, also includes: rated power field, rated capacity field, charging efficiency field, discharging efficiency field, depth of discharge field, and maximum load field.

[0053] Secondly, this application also provides a calculation device for an energy storage device, the device comprising:

[0054] The data acquisition module is used to acquire load data, photovoltaic power generation data, and user data;

[0055] The power calculation module is used to determine the hourly charging amount, hourly discharging amount, or hourly photovoltaic surplus power consumption of the energy storage device at different time periods based on at least one of the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy; the preset photovoltaic surplus power consumption strategy is related to the electricity price.

[0056] The revenue calculation module is used to determine the annual revenue based on the hourly charging amount, hourly discharging amount, and hourly consumption of surplus photovoltaic power of the energy storage device at different times throughout the year.

[0057] The calculation module is used to determine the payback period based on annual revenue and total cost.

[0058] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.

[0059] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0060] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method.

[0061] The aforementioned energy storage equipment includes calculation methods, devices, computer equipment, computer-readable storage media, and computer program products. Based on at least one of load data, photovoltaic power generation data, user data, and a preset photovoltaic surplus power consumption strategy, the hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption are determined. By linking the preset photovoltaic surplus power consumption strategy with electricity prices, the operational logic of the energy storage equipment under different electricity price scenarios can be accurately obtained. This makes the determined hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption more closely reflect actual operating data, improving data accuracy. Determining annual revenue and payback period using more accurate hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption improves the accuracy of annual revenue and payback period calculations, thereby enabling a more accurate evaluation of energy storage equipment deployment methods. Attached Figure Description

[0062] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0063] Figure 1 This is a flowchart illustrating the calculation method for an energy storage device in one embodiment;

[0064] Figure 2 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0065] Figure 3 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0066] Figure 4 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0067] Figure 5 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0068] Figure 6 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0069] Figure 7 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0070] Figure 8 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0071] Figure 9 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0072] Figure 10 This is a flowchart illustrating the calculation method for an energy storage device in another embodiment;

[0073] Figure 11 This is a structural block diagram of the measurement device of an energy storage device in one embodiment;

[0074] Figure 12 This is an internal structural diagram of a computer device in one embodiment.

[0075] Figure label:

[0076] Data acquisition module - 102; power consumption calculation module - 104; revenue calculation module - 106; measurement module - 108. Detailed Implementation

[0077] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0078] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0079] In one embodiment, a method for calculating the energy storage device is provided. This embodiment uses the application of the method to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and can be implemented through the interaction between the terminal and the server.

[0080] In this embodiment, as Figure 1 As shown, the method includes steps S102 to S108, wherein:

[0081] Step S102: Obtain load data, photovoltaic power generation data, and user data.

[0082] Load data refers to the load power of the power supplied by the energy storage device (the load). Photovoltaic power generation data refers to the power generation of the photovoltaic power generation device that supplies photovoltaic power to the energy storage device. User data refers to data associated with the users of the energy storage device, such as the billing mode of the user's area and the user's usage habits.

[0083] Step S104: Based on at least one of load data, photovoltaic power generation data, user data, and preset photovoltaic surplus power consumption strategy, determine the hourly charging amount, hourly discharging amount, or hourly photovoltaic surplus power consumption of the energy storage device for different time periods; the preset photovoltaic surplus power consumption strategy is related to the electricity price.

[0084] For example, the hourly charging amount can be determined in the first time period, the hourly discharging amount in the second time period, and the hourly consumption of surplus photovoltaic power in the third time period.

[0085] Among them, the preset photovoltaic surplus power consumption strategy refers to the strategy for using the surplus power of photovoltaic power generation devices. Hourly photovoltaic surplus power consumption refers to the amount of electricity absorbed and stored by energy storage devices from photovoltaic power generation devices that is not used immediately within a one-hour period.

[0086] By combining a pre-set strategy for absorbing surplus photovoltaic power with electricity prices, surplus photovoltaic power can be absorbed flexibly based on electricity prices. This allows energy storage devices to be charged when charging costs are at their lowest, thereby improving the utilization efficiency of surplus photovoltaic power.

[0087] Step S106: Determine the annual revenue based on the hourly charging amount, hourly discharging amount, and hourly consumption of surplus photovoltaic power of the energy storage equipment at different times throughout the year.

[0088] In this embodiment, the surplus photovoltaic power consumed per hour is used to charge the energy storage device. Therefore, both the hourly charging amount and the hourly surplus photovoltaic power consumed are charging data for the energy storage device.

[0089] Step S108: Determine the payback period based on annual revenue and total cost.

[0090] Payback time can be used by users to assess the resource utilization of each energy storage device, as well as to assess the configuration of the energy storage devices, such as the number of devices installed.

[0091] The above method, based on at least one of load data, photovoltaic power generation data, user data, and a preset photovoltaic surplus power consumption strategy, determines the hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption. By linking the preset photovoltaic surplus power consumption strategy with electricity prices, the operational logic of energy storage devices under different electricity price scenarios can be accurately obtained. This makes the determined hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption more closely reflect actual operating data, improving data accuracy. By determining the annual revenue and payback period using more accurate hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption, the accuracy of annual revenue and payback period can be improved, thereby enabling a more accurate evaluation of the energy storage device setup.

[0092] In one embodiment, acquiring load data includes:

[0093] Obtain the initial load power, which includes 15-minute load data. Here, 15-minute level means that data is output every 15 minutes.

[0094] The initial load data undergoes validity verification, which includes time validity verification and numerical validity verification. Time validity verification checks whether initial load power is output at 15 minutes, 30 minutes, 45 minutes, and 60 minutes (0 minutes) starting from 0 minutes of each hour. Numerical validity verification checks whether the initial load power output at each time point is a numerical value. If initial load power is not output at the time it should be output, or if the output initial load power is not a numerical value, the validity verification fails.

[0095] If the validity check fails, the data at the corresponding time point will be supplemented.

[0096] If there are only a few time points where the initial load power is not output or the output initial load power is not a numerical value, the initial load power of the adjacent time points can be used as the initial load power of the target time point.

[0097] For example, if the initial load power at 14:15 is missing, the initial load power at 14:00 or 14:30 can be used as the initial load power at 14:15.

[0098] After data completion, the load data is determined based on the initial load power at each time point, specifically including:

[0099] The initial load power at the four time points within each hour is summed to obtain the hourly initial load power.

[0100] The ratio of the hourly initial load power to four is taken as the average initial load power. The product of the average initial load power and the current transformer (CT) ratio and voltage transformer (PT) ratio is taken as the hourly load power.

[0101] Among them, CT ratio is the ratio of primary current to secondary current, PT ratio is the ratio of primary voltage to secondary voltage, and CT ratio and PT ratio are user data that can be provided directly by the user.

[0102] The hourly load power at different times of the year is used as load data.

[0103] By validating and supplementing the data, the reliability of load data can be improved, providing a basis for accurately evaluating the payback period.

[0104] In one embodiment, step S104: Based on load data, photovoltaic power generation data, user data, and a preset photovoltaic surplus power consumption strategy, determine the hourly charging amount, hourly discharging amount, or hourly photovoltaic surplus power consumption of the energy storage device at different time periods, such as... Figure 2 As shown, steps S202 to S208 are included, wherein:

[0105] Step S202: Based on load data, photovoltaic power generation data, and user data, determine the maximum hourly chargeable amount and maximum hourly dischargeable amount for different time periods.

[0106] The maximum hourly chargeable capacity and maximum hourly dischargeable capacity are affected by the physical limits of the energy storage device, the supply limits of the external power supply equipment, and the charging and discharging rules. By determining the maximum hourly chargeable capacity and maximum hourly dischargeable capacity, the upper limit of charging and discharging for the energy storage device per hour can be determined.

[0107] Step S204: During the preset energy storage charging period, determine the hourly charging amount of the energy storage device based on the maximum hourly rechargeable amount and user data.

[0108] In 24 hours, there may be multiple preset energy storage charging periods. These preset energy storage charging periods can be designed according to the user's load usage habits or the charging cost. For example, charging can be carried out during at least one of the flat periods and off-peak periods in peak and valley seasons.

[0109] Based on the maximum hourly rechargeable capacity and user data, determining the hourly charging capacity of energy storage devices can yield an hourly charging capacity that most closely approximates the actual charging data.

[0110] Step S206: During the preset energy storage discharge period, and when the photovoltaic power generation in the photovoltaic power generation data is less than or equal to the load power consumption, determine the hourly discharge capacity of the energy storage device based on the maximum hourly discharge capacity and user data.

[0111] It is understandable that when the photovoltaic power generation is less than or equal to the load power consumption, the photovoltaic power generation equipment will prioritize supplying power to the load. When the photovoltaic power generation is insufficient to support the load power consumption (i.e., the photovoltaic power generation is less than the load power consumption), the energy storage equipment is also required to discharge. The maximum hourly discharge capacity is used to limit the discharge limit of the energy storage equipment.

[0112] Step S208: During the preset energy storage discharge period, and when the photovoltaic power generation is greater than the load power consumption, determine the hourly photovoltaic surplus power consumption of the energy storage device based on load data, photovoltaic power generation data, user data, and the preset photovoltaic surplus power consumption strategy.

[0113] It is understandable that when the photovoltaic power generation exceeds the load power consumption, it means that the photovoltaic power generation equipment still has surplus power after supplying power to the load, and there is no need for the energy storage equipment to discharge. Moreover, the surplus power of the photovoltaic power generation equipment can be used to charge the energy storage equipment. Therefore, the hourly consumption of surplus photovoltaic power is actually the hourly charging amount of the energy storage equipment, and there is no need to limit the maximum hourly discharge amount.

[0114] A pre-set photovoltaic surplus power consumption strategy can determine whether to use surplus power to charge energy storage devices based on electricity prices, so as to charge energy storage devices during the period when charging costs are lowest.

[0115] By using load data, photovoltaic power generation data, user data, and preset photovoltaic surplus power consumption strategies, the hourly charging volume, hourly discharging volume, or hourly photovoltaic surplus power consumption of energy storage equipment can be determined. This allows the calculated hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption to be closer to the actual charging and discharging data of the energy storage equipment, providing a basis for accurately calculating annual revenue and payback period.

[0116] In one embodiment, the user data also includes: transformer capacity, maximum load rate, and monthly demand threshold.

[0117] Transformer capacity refers to the apparent power parameter that a transformer can transmit under rated operating conditions. Maximum load rate represents the ratio of the transformer's highest load power to its rated capacity. Monthly demand threshold refers to the maximum electricity demand of users in a given month.

[0118] Step S202: Based on load data, photovoltaic power generation data, and user data, determine the maximum hourly chargeable capacity and maximum hourly dischargeable capacity for different time periods, such as... Figure 3 As shown, steps S302 to S304 are included, wherein:

[0119] Step S302: Obtain the initial hourly maximum rechargeable amount, and use the maximum value between the initial hourly maximum rechargeable amount and zero as the hourly maximum rechargeable amount.

[0120] That is, the maximum rechargeable amount per hour = MAX{initial maximum rechargeable amount per hour, 0}.

[0121] The initial hourly maximum rechargeable amount is the sum of the product of transformer capacity, maximum load rate, and time, and the difference between the hourly photovoltaic power generation and the hourly load power consumption; or the initial hourly maximum rechargeable amount is the sum of the monthly demand threshold and the difference between the hourly photovoltaic power generation and the hourly load power consumption.

[0122] That is, the initial hourly maximum rechargeable capacity = transformer capacity × maximum load rate × 1 hour + photovoltaic power generation within the hour - load power consumption within the hour, or the initial hourly maximum rechargeable capacity = monthly demand threshold + photovoltaic power generation within the hour - load power consumption within the hour.

[0123] Understandably, power companies use two different billing methods for large industrial users: capacity-based billing and demand-based billing. Due to the different billing methods, the constraints on the maximum chargeable amount per initial hour are also different. For example, the upper limit of the constraint for capacity-based billing may be the physical limit, while the upper limit of the constraint for demand-based billing may be the economic limit.

[0124] For example, when a user adopts capacity-based billing, the initial maximum hourly chargeable capacity = transformer capacity × maximum load rate × 1 hour + hourly photovoltaic power generation - hourly load power consumption. When a user adopts demand-based billing, the initial maximum hourly chargeable capacity = monthly demand threshold + hourly photovoltaic power generation - hourly load power consumption.

[0125] Using different formulas to calculate the initial hourly maximum chargeable amount for different billing methods can better reflect actual charging data and thus improve the accuracy of the final assessment.

[0126] Step S304: Obtain the initial hourly maximum discharge capacity. The maximum value between the initial hourly maximum discharge capacity and zero is taken as the hourly maximum discharge capacity. The initial hourly maximum discharge capacity is the difference between the load power consumption and the photovoltaic power generation within the hour.

[0127] That is, the maximum discharge capacity per hour = MAX{initial maximum discharge capacity per hour, 0}, where the initial maximum discharge capacity per hour = the load power consumption per hour - the photovoltaic power generation per hour.

[0128] Maximum discharge capacity per hour indicates the maximum amount of electricity that the energy storage device needs to release within one hour.

[0129] In one embodiment, user data includes: rated power, rated capacity, quantity, depth of discharge (DOD), remaining energy storage capacity, charging efficiency, and discharging efficiency of the energy storage device.

[0130] The remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly absorption of surplus photovoltaic power, or rated capacity of the energy storage equipment in the previous period.

[0131] The rated power of an energy storage device refers to the maximum charging and discharging power that the device can continuously and stably output under standard conditions. The rated capacity of an energy storage device refers to the maximum amount of electricity it can store when fully charged. Depth of discharge represents the ratio of the used capacity to the rated capacity. Remaining capacity is the amount of electricity remaining after charging or discharging. Charging efficiency represents the ratio of the amount of electricity actually stored in the energy storage device to the amount input into the device. Discharge efficiency represents the ratio of the amount of electricity actually output by the energy storage device to the amount of electricity released.

[0132] Step S204: During the preset energy storage charging period, based on the maximum hourly rechargeable capacity and user data, determine the hourly charging capacity of the energy storage device, such as... Figure 4 As shown, steps S402 to S408 are included, wherein:

[0133] Step S402: The product of rated power, quantity, and time is used as the first charging quantity.

[0134] That is, the first charging amount = the rated power of the energy storage device × the number of energy storage devices × 1 hour.

[0135] Step S404: Use the maximum hourly rechargeable amount as the second charging amount.

[0136] That is, the second charging capacity = the maximum charging capacity per hour.

[0137] Step S406: Obtain the first difference between the product of rated capacity, quantity, and depth of discharge and the remaining energy storage capacity, and use the ratio of the first difference to the charging efficiency as the third charging quantity.

[0138] Third charge capacity = ((rated capacity × quantity × depth of discharge) - remaining energy storage capacity) / charging efficiency.

[0139] The rated capacity × quantity × depth of discharge can be used to represent the amount of electricity already used, and also to represent the range that can be used for charging. Calculating rated capacity × quantity × depth of discharge - remaining energy storage capacity can represent the maximum amount of electricity that can be charged based on the current remaining energy storage capacity. If the third charging amount is positive, it means that there is still room for charging; if the third charging amount is zero or negative, it means that there is no room for charging and the energy storage device should not be charged anymore.

[0140] In this embodiment, the remaining energy storage capacity represents the total remaining capacity of all energy storage devices.

[0141] Step S408: Take the minimum value among the first charging amount, the second charging amount and the third charging amount as the hourly charging amount of the energy storage device.

[0142] In one embodiment, user data includes: rated power, rated capacity, number, depth of discharge, remaining energy storage capacity, charging efficiency, and discharging efficiency of the energy storage device.

[0143] The foregoing embodiments have described user data in detail, and will not be repeated here.

[0144] The remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly absorption of surplus photovoltaic power, or rated capacity of the energy storage equipment in the previous period.

[0145] Step S206: During the preset energy storage discharge period, and when the photovoltaic power generation in the photovoltaic power generation data is less than or equal to the load power consumption, determine the hourly discharge capacity of the energy storage device based on the maximum hourly discharge capacity and user data, such as... Figure 5 As shown, steps S502 to S508 are included, wherein:

[0146] Step S502: The product of rated power, quantity, and time is used as the first discharge quantity.

[0147] That is, the first discharge quantity = the rated power of the energy storage device × the number of energy storage devices × 1 hour.

[0148] The first discharge quantity is the amount of electricity that the energy storage device can provide within an hour under ideal conditions.

[0149] Step S504: Use the maximum hourly discharge capacity as the second discharge capacity.

[0150] Second discharge capacity = maximum discharge capacity per hour.

[0151] The second discharge quantity represents the maximum amount of electricity that the energy storage device needs to release within an hour, corresponding to the electricity demand of the load.

[0152] Step S506: The product of the remaining energy storage capacity and the discharge efficiency is used as the third discharge quantity.

[0153] The third discharge quantity = remaining energy storage capacity × discharge efficiency.

[0154] The third discharge capacity represents the effective amount of electricity that can be released from the current battery storage capacity to supply the load. It is the maximum amount of electricity that can be released at present. The third discharge capacity does not represent the actual amount that can be released per hour, but it can represent the upper limit of the amount that can be released per hour.

[0155] Step S508: Take the minimum value among the first discharge quantity, the second discharge quantity, and the third discharge quantity as the hourly discharge quantity of the energy storage device.

[0156] If the first and second discharge quantities are less than the third discharge quantity, it means that the amount of electricity in the energy storage device is sufficient to meet the actual discharge demand. If the first and second discharge quantities are greater than the third discharge quantity, it means that the amount of electricity in the energy storage device is insufficient to meet the actual discharge demand, and it can only release the value corresponding to the third discharge quantity at most.

[0157] When both the first and second discharge quantities are less than the third discharge quantity, comparing the first and second discharge quantities reveals that if the first discharge quantity is less than the second discharge quantity, the energy storage device can only release the amount of electricity corresponding to the first discharge quantity per unit hour. Even if the load demand is the second discharge quantity, the energy storage device cannot meet it. If the second discharge quantity is less than the first discharge quantity, although the energy storage device can release more electricity per unit hour, the upper limit of the load demand is the second discharge quantity. The energy storage device only needs to release the amount of electricity corresponding to the second discharge quantity to meet the load demand, without needing to release the amount corresponding to the first discharge quantity.

[0158] By taking the minimum value among the first, second, and third discharge quantities as the hourly discharge quantity of the energy storage device, a value closest to the actual discharge data can be obtained, thus improving the accuracy of the calculation.

[0159] In one embodiment, the load data includes the load electricity consumption, and the photovoltaic power generation data includes the photovoltaic power generation.

[0160] Step S208: During the preset energy storage discharge period, and when photovoltaic power generation exceeds load power consumption, determine the hourly photovoltaic surplus power consumption of the energy storage device based on load data, photovoltaic power generation data, user data, and the preset photovoltaic surplus power consumption strategy. Figure 6 As shown, steps S602 to S604 are included, wherein:

[0161] It is understandable that if photovoltaic power generation exceeds the load power consumption, it means that the photovoltaic power generation device still has surplus power, which can be used to charge energy storage devices. However, whether to use it to charge energy storage devices needs to be determined based on the electricity price.

[0162] Step S602: In the next preset energy storage charging period of the first preset period, consume the surplus electricity of the energy storage device and use photovoltaic power generation to charge the energy storage device; determine the hourly consumption of surplus photovoltaic power of the energy storage device based on load data, photovoltaic power generation data and user data; the first preset period is a preset energy storage discharge period in which the photovoltaic power generation is greater than the load power consumption and the electricity price of the next preset energy storage charging period is greater than the photovoltaic grid connection price.

[0163] If the electricity price for the next preset energy storage charging period is higher than the photovoltaic grid connection price, it means that the cost of charging the energy storage device through the grid during the next preset energy storage charging period is greater than the cost of charging the energy storage device through the photovoltaic power generation device. Therefore, the photovoltaic power generation device is preferentially selected to charge the energy storage device. That is, in one preset energy storage charging period of the first preset period, the photovoltaic power generation device is used to charge the energy storage device.

[0164] Step S604: During the next preset energy storage charging period of the second preset period, the energy storage device is not charged; the hourly photovoltaic surplus power consumed by the energy storage device is zero; the second preset period is a preset energy storage discharge period in which the photovoltaic power generation is greater than the load power consumption and the electricity price of the next preset energy storage charging period is less than the photovoltaic grid connection electricity price.

[0165] It is understandable that when the grid electricity price is lower than the photovoltaic grid-connected electricity price, it means that charging the energy storage device through the grid is cheaper, and the grid can be used for charging. That is, the calculation for this period is the hourly charging amount. The hourly charging amount has been described in detail in other embodiments and will not be repeated here.

[0166] In other words, if the electricity price is lower than the photovoltaic grid connection price, even if the photovoltaic power generation device still has surplus electricity, it does not need to be used to charge the energy storage device. In this case, the hourly consumption of surplus photovoltaic electricity is zero.

[0167] In one embodiment, user data includes: rated power, rated capacity, number, depth of discharge, remaining energy storage capacity, charging efficiency, and discharging efficiency of the energy storage device.

[0168] The remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly absorption of surplus photovoltaic power, or rated capacity of the energy storage equipment in the previous period.

[0169] Step S602: In the next preset energy storage charging period after the first preset period, consume the surplus electricity of the energy storage device and use photovoltaic power generation to charge the energy storage device; determine the hourly consumption of surplus photovoltaic power by the energy storage device based on load data, photovoltaic power generation data, and user data, such as... Figure 7 As shown, steps S702 to S708 are included, wherein:

[0170] Step S702: The product of rated power, quantity, and time is used as the first photovoltaic surplus power to be absorbed.

[0171] That is, the first photovoltaic surplus power consumption = rated power of energy storage equipment × number of energy storage equipment × 1 hour.

[0172] The first photovoltaic surplus power represents the amount of electricity required by the energy storage device per hour under ideal conditions.

[0173] Step S704: The second difference between photovoltaic power generation and load power consumption is used as the second surplus photovoltaic power to be absorbed.

[0174] That is, the second photovoltaic surplus power consumption = photovoltaic power generation - load power consumption.

[0175] The second photovoltaic surplus power consumption refers to the surplus power that can be used to supply power to energy storage devices, indicating the upper limit of the usable surplus power.

[0176] Step S706: Obtain the third difference between the product of rated capacity, quantity, and depth of discharge and the remaining energy storage capacity, and use the ratio of the third difference to the charging efficiency as the third photovoltaic surplus power to be consumed.

[0177] That is, the third photovoltaic surplus power consumption = ((rated capacity × quantity × discharge depth) - energy storage surplus capacity) / charging efficiency.

[0178] The calculation formula for the third photovoltaic surplus is the same as that for the third charging capacity, and can be understood by referring to the third charging capacity, so it will not be elaborated here.

[0179] Step S708: Take the minimum value among the first, second, and third photovoltaic surplus power consumption as the hourly photovoltaic surplus power consumption.

[0180] In one embodiment, the remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly photovoltaic surplus power consumption, or rated capacity of the energy storage device in the previous period, see reference. Figure 8 The process includes steps S802 to S808, wherein:

[0181] Step S802: When the energy storage device is used for the first time, the remaining energy storage capacity is the rated capacity or the initial capacity.

[0182] The initial capacity can be specified by the user.

[0183] Step S804: If the previous period was a period for energy storage charging, the remaining energy storage capacity is the sum of the remaining energy storage capacity of the previous period and the product of the hourly charging amount and the charging efficiency.

[0184] That is, the remaining energy storage capacity in the current period = the remaining energy storage capacity in the previous period + the hourly charging amount in the previous period × the charging efficiency. The hourly charging amount in the previous period × the charging efficiency represents the amount of electricity charged into the energy storage device in the previous period.

[0185] Step S806: If the previous period was a period of energy storage discharge and the photovoltaic power generation was less than or equal to the load power consumption, the remaining energy storage capacity is the difference between the remaining energy storage capacity of the previous period and the ratio of the hourly discharge amount and the discharge efficiency.

[0186] The remaining energy storage capacity in the current period = the remaining energy storage capacity in the previous period - the hourly discharge rate / discharge efficiency in the previous period. The hourly discharge rate / discharge efficiency in the previous period represents the amount of electricity released by the energy storage device in the previous period.

[0187] Step S808: If the previous time period is the first preset time period, the remaining energy storage capacity is the sum of the remaining energy storage capacity of the previous time period, the product of the hourly photovoltaic surplus power consumption, and the charging efficiency.

[0188] That is, the remaining energy storage capacity in the current period = the remaining energy storage capacity in the previous period + the hourly surplus photovoltaic power consumed in the previous period × charging efficiency. The hourly charging amount × charging efficiency in the previous period represents the amount of electricity charged into the energy storage device in the previous period.

[0189] In one embodiment, the user data also includes peak and off-peak periods, which include peak periods, high-peak periods, flat periods and low-peak periods, and the annual revenue includes the first year's annual revenue.

[0190] Peak hours typically refer to the periods of highest electricity demand and greatest pressure on the power grid. Mid-peak hours are periods of moderate power supply, though not as tight as peak hours. Neutral hours are periods of relatively balanced supply and demand. Off-peak hours are periods of surplus power. Generally, the tighter the power supply, the higher the electricity price during those times. In other words, electricity prices typically decrease gradually from peak to mid-peak, mid-peak, and off-peak. Users can choose to charge their energy storage devices during mid-peak and off-peak hours; that is, preset charging times can be selected during these periods. Preset charging times can also be determined based on the discharge needs of the energy storage devices, without restriction.

[0191] Step S106: Determine the annual revenue based on the hourly charging volume, hourly discharging volume, and hourly consumption of surplus photovoltaic power of the energy storage equipment at different times throughout the year. (See reference...) Figure 9 This includes steps S90 to S906, wherein:

[0192] Step S902: Determine the annual discharge revenue for the first year based on the hourly discharge volume of the energy storage device at different times throughout the year.

[0193] The sum of the products of the total hourly discharge volume during peak hours and the corresponding electricity price, the total hourly discharge volume during peak hours and the corresponding electricity price, the total hourly discharge volume during average hours and the corresponding electricity price, and the total hourly discharge volume during off-peak hours and the corresponding electricity price will be used as the annual discharge revenue for the first year.

[0194] For example, the electricity price during peak hours is 1.5 yuan per kilowatt-hour, the electricity price during off-peak hours is 1.2 yuan per kilowatt-hour, the electricity price during normal hours is 0.8 yuan per kilowatt-hour, and the electricity price during off-peak hours is 0.4 yuan per kilowatt-hour.

[0195] That is, the annual discharge revenue in the first year = the sum of the hourly discharge volume during the peak period of the year × 1.5 + the sum of the hourly discharge volume during the peak period of the year × 1.2 + the sum of the hourly discharge volume during the flat period of the year × 0.8 + the sum of the hourly discharge volume during the trough period of the year × 0.4.

[0196] Step S904: Determine the annual charging cost for the first year based on the hourly discharge and hourly consumption of surplus photovoltaic power of the energy storage device at different times of the year.

[0197] The annual charging cost for the first year is calculated as the sum of the following products: the total hourly charging volume of energy storage devices during peak hours of the year multiplied by the corresponding electricity price; the total hourly charging volume of energy storage devices during mid-peak hours of the year multiplied by the corresponding electricity price; the total hourly charging volume of energy storage devices during off-peak hours of the year multiplied by the corresponding electricity price; and the total hourly consumption of surplus photovoltaic power throughout the year multiplied by the photovoltaic electricity price.

[0198] For example, the electricity price during peak hours is 1.5 yuan per kilowatt-hour, the electricity price during off-peak hours is 1.2 yuan per kilowatt-hour, the electricity price during flat hours is 0.8 yuan per kilowatt-hour, the electricity price during off-peak hours is 0.4 yuan per kilowatt-hour, and the photovoltaic electricity price is 0.39 yuan per kilowatt-hour.

[0199] The first year's annual charging cost = the sum of the hourly charging volume during peak hours throughout the year × 1.5 + the sum of the hourly charging volume during peak hours throughout the year × 1.2 + the sum of the hourly charging volume during flat hours throughout the year × 0.8 + the sum of the hourly charging volume during off-peak hours throughout the year × 0.4 + the sum of the hourly surplus photovoltaic power consumed throughout the year × 0.39.

[0200] Step S906: The difference between the annual discharge revenue and the annual charging cost in the first year is taken as the annual revenue in the first year.

[0201] By obtaining more realistic hourly charging volume, hourly discharging volume, and hourly photovoltaic surplus power consumption, annual discharge revenue and annual charging cost can be calculated more quickly and accurately, resulting in a more accurate annual return.

[0202] If multiple energy storage devices are included, the hourly charging amount, hourly discharging amount, and hourly photovoltaic surplus power consumption of each energy storage device are calculated separately, and the annual revenue is calculated based on the hourly charging amount, hourly discharging amount, and hourly photovoltaic surplus power consumption of each energy storage device. The detailed steps have been described in detail in the foregoing embodiments and will not be repeated here.

[0203] In one embodiment, the user data also includes a decay rate; the annual revenue includes the first year's annual revenue and the Nth year's annual revenue, where N is an integer greater than 1.

[0204] The product of the first year's annual return and the decay index is taken as the Nth year's annual return. The decay index is the N-1th power of the difference between 1 and the decay rate.

[0205] That is, the annual return in year N = the annual return in year 1 × (1 - decay rate). N-1 .

[0206] For example, if the annual income in the first year is 150,000 yuan and the decay rate is 2%, then the annual income in the second year is 150,000 yuan × (1-2%) = 147,000 yuan, and the annual income in the third year is 150,000 yuan × (1-2%). 3-1 ≈144,100 yuan, and so on, until the target year is calculated, such as the tenth year, for user reference. In one embodiment, the payback period is determined based on annual revenue and total cost.

[0207] The total cost can be the construction cost of the energy storage equipment. For example, the total cost = construction unit price × rated capacity × quantity. Taking a construction unit price of 0.95 yuan per watt-hour, a rated capacity of 215 kilowatt-hours, and a quantity of 1 as an example, the total cost = 0.95 × 215000 × 1 = 204250 yuan ≈ 204,300 yuan.

[0208] For example, the payback period = total cost / first year's annual revenue. The total cost is 204,300 yuan, and the annual revenue is 150,000 yuan. The payback period = 204,300 / 150,000 ≈ 1.36 years. That is, it takes approximately 1.36 years to break even.

[0209] In one embodiment, the payback period for multiple energy storage devices can also be calculated.

[0210] It is understandable that, due to factors such as transformer capacity and photovoltaic power generation, the hourly charge and discharge capacities of different numbers of energy storage devices cannot be simply linearly added together. Calculations based on the steps outlined in the aforementioned embodiments are required and will not be repeated here. Therefore, the annual revenue may differ depending on the number of energy storage devices.

[0211] In this embodiment, the payback period for different numbers of energy storage devices can be marked with a line graph, providing a clear display of the results.

[0212] In one embodiment, step S104: Based on at least one of load data, photovoltaic power generation data, user data, and a preset photovoltaic surplus power consumption strategy, determine the hourly charging amount, hourly discharging amount, or hourly photovoltaic surplus power consumption of the energy storage device at different time periods. (See [reference]) Figure 10 It also includes steps S1002 to S1006, wherein:

[0213] Step S1002: Construct electricity price templates and energy storage templates.

[0214] The electricity price template includes fields for peak and off-peak periods, energy storage charging periods, energy storage discharging periods, ideal daily charging duration, number of energy storage devices, load electricity consumption, photovoltaic power generation, monthly demand threshold, applicable months for energy storage charging and discharging periods, and preset photovoltaic surplus power consumption strategy.

[0215] In addition to the electricity price template, the energy storage template also includes: rated power field, rated capacity field, charging efficiency field, discharging efficiency field, depth of discharge field, and maximum load field. The energy storage template may also include a degradation rate field.

[0216] The electricity price template requires less data and is easier to fill out compared to the energy storage template.

[0217] Step S1004: Import the load data, photovoltaic power generation data and user data into the electricity price template or energy storage template respectively.

[0218] Users can choose between an electricity price template or an energy storage template based on their needs. After data is imported into the template, a fixed template can be created, reducing the need for users to repeatedly fill in data and improving efficiency. When using the template, users only need to call up the pre-filled template. Users can also fix information in certain fields of the template and modify that information, depending on their specific requirements.

[0219] Step S1006: Determine the hourly charging amount, hourly discharging amount, or hourly consumption of surplus photovoltaic power of energy storage devices at different times of the year based on the data in the electricity price template or energy storage template.

[0220] Step S1006 can be implemented with reference to the implementation method of step S104, and will not be described in detail here.

[0221] Specifically, when using the electricity price template, the initial maximum hourly chargeable capacity = monthly demand threshold + hourly photovoltaic power generation - hourly load power consumption. When using the energy storage template, the initial maximum hourly chargeable capacity = transformer capacity × maximum load rate × 1 hour + hourly photovoltaic power generation - hourly load power consumption.

[0222] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0223] Based on the same inventive concept, this application also provides a calculation device for energy storage devices to implement the calculation method for the energy storage devices described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more energy storage device calculation device embodiments provided below can be found in the limitations of the energy storage device calculation method above, and will not be repeated here.

[0224] In one exemplary embodiment, such as Figure 11 As shown, a calculation device for an energy storage device is provided. The device includes a data acquisition module 102, an energy calculation module 104, a revenue calculation module 106, and a calculation module 108.

[0225] The data acquisition module 102 is used to acquire load data, photovoltaic power generation data and user data.

[0226] The power calculation module 104 is used to determine the hourly charging amount, hourly discharging amount, or hourly consumption of photovoltaic surplus power of the energy storage device at different time periods based on at least one of load data, photovoltaic power generation data, user data, and preset photovoltaic surplus power consumption strategy; the preset photovoltaic surplus power consumption strategy is related to the electricity price.

[0227] The revenue calculation module 106 is used to determine the annual revenue based on the hourly charging amount, hourly discharging amount and hourly consumption of surplus photovoltaic power of the energy storage device at different times of the year.

[0228] The calculation module 108 is used to determine the payback period based on annual revenue and total cost.

[0229] The aforementioned energy storage device's calculation apparatus determines the hourly charging volume, hourly discharging volume, and hourly consumed photovoltaic surplus power based on at least one of load data, photovoltaic power generation data, user data, and a preset photovoltaic surplus power consumption strategy. By linking the preset photovoltaic surplus power consumption strategy with electricity prices, it can accurately obtain the energy storage device's operational logic under different electricity price scenarios. This makes the determined hourly charging volume, hourly discharging volume, and hourly consumed photovoltaic surplus power more closely resemble actual operating data, improving data accuracy. By using more accurate hourly charging volume, hourly discharging volume, and hourly consumed photovoltaic surplus power to determine annual revenue and payback period, the accuracy of annual revenue and payback period can be improved, thereby enabling a more accurate evaluation of the energy storage device's setup.

[0230] The above-mentioned energy storage device calculation apparatus is implemented with reference to the steps in the energy storage device calculation method in the foregoing embodiment, and has the same beneficial effects as the energy storage device calculation method, which will not be elaborated here.

[0231] The various modules in the calculation device of the aforementioned energy storage equipment can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0232] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 12 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for measuring energy storage devices. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0233] Those skilled in the art will understand that Figure 12 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0234] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps described above.

[0235] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps described above.

[0236] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps described above.

[0237] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0238] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0239] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0240] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for calculating the performance of an energy storage device, characterized in that, The method includes: Acquire load data, photovoltaic power generation data, and user data; Based on at least one of the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy, the hourly charging amount, hourly discharging amount, or hourly photovoltaic surplus power consumption of the energy storage device is determined for different time periods; the preset photovoltaic surplus power consumption strategy is related to the electricity price. The annual revenue is determined based on the hourly charging volume, hourly discharging volume, and hourly consumption of surplus photovoltaic power of the energy storage equipment at different times throughout the year. The payback period is determined based on annual revenue and total cost.

2. The method of claim 1, wherein, The process of determining the hourly charging capacity, hourly discharging capacity, or hourly absorption of surplus photovoltaic power for energy storage devices at different time periods based on the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy includes: Based on the load data, the photovoltaic power generation data, and the user data, determine the maximum hourly chargeable amount and the maximum hourly dischargeable amount for different time periods; During the preset energy storage charging period, the hourly charging amount of the energy storage device is determined based on the maximum hourly rechargeable amount and the user data. During a preset energy storage discharge period, and when the photovoltaic power generation in the photovoltaic power generation data is less than or equal to the load power consumption, the hourly discharge capacity of the energy storage device is determined based on the maximum hourly discharge capacity and the user data. During the preset energy storage discharge period, and when the photovoltaic power generation is greater than the load power consumption, the hourly photovoltaic power consumption of the energy storage device is determined based on the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy.

3. The method of claim 2, wherein, The load data includes the load electricity consumption, and the photovoltaic power generation data includes the photovoltaic power generation. The step of determining the hourly absorption capacity of surplus photovoltaic power by the energy storage device during the preset energy storage discharge period, when the photovoltaic power generation is greater than the load power consumption, based on the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power absorption strategy, includes: In the next preset energy storage charging period after the first preset period, the surplus electricity of the energy storage device is consumed, and the energy storage device is charged by photovoltaic power generation; the hourly consumption of surplus photovoltaic power by the energy storage device is determined based on the load data, the photovoltaic power generation data, and the user data; the first preset period is a preset energy storage discharge period in which the photovoltaic power generation is greater than the load power consumption, and the electricity price of the next preset energy storage charging period is greater than the photovoltaic grid connection price. During the next preset energy storage charging period of the second preset period, the energy storage device is not charged; the hourly photovoltaic surplus power consumed by the energy storage device is zero; the second preset period is a preset energy storage discharge period in which the photovoltaic power generation is greater than the load power consumption and the electricity price of the next preset energy storage charging period is less than the photovoltaic grid connection electricity price.

4. The method of claim 3, wherein, The user data includes: the rated power, rated capacity, quantity, depth of discharge, remaining energy storage capacity, charging efficiency, and discharging efficiency of the energy storage device; The remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly photovoltaic surplus power consumption, or rated capacity of the energy storage device in the previous period. The step of determining the hourly charging capacity of the energy storage device during the preset energy storage charging period, based on the maximum hourly rechargeable capacity and the user data, includes: The product of the rated power, the quantity, and the time is used as the first charging amount; the maximum hourly charging amount is used as the second charging amount; the first difference between the product of the rated capacity, the quantity, and the depth of discharge and the remaining energy storage capacity is obtained, and the ratio of the first difference to the charging efficiency is used as the third charging amount. The minimum value among the first charging amount, the second charging amount, and the third charging amount is taken as the hourly charging amount of the energy storage device; And / or, the step of determining the hourly discharge capacity of the energy storage device based on the maximum hourly discharge capacity and the user data when the photovoltaic power generation in the preset energy storage discharge period is less than or equal to the load power consumption includes: The product of the rated power, the quantity, and the time is used as the first discharge quantity; the maximum dischargeable quantity per hour is used as the second discharge quantity; and the product of the remaining energy storage capacity and the discharge efficiency is used as the third discharge quantity. The minimum value among the first discharge amount, the second discharge amount, and the third discharge amount is taken as the hourly discharge amount of the energy storage device; And / or, determining the hourly absorption capacity of surplus photovoltaic power by the energy storage device based on the load data, the photovoltaic power generation data, and the user data includes: The product of the rated power, the quantity, and the time is taken as the first photovoltaic surplus power to be absorbed; the second difference between the photovoltaic power generation and the load power consumption is taken as the second photovoltaic surplus power to be absorbed; the third difference between the product of the rated capacity, the quantity, and the depth of discharge and the remaining energy storage capacity is obtained, and the ratio of the third difference to the charging efficiency is taken as the third photovoltaic surplus power to be absorbed. The minimum value among the first, second, and third photovoltaic surplus power consumption is taken as the hourly photovoltaic surplus power consumption.

5. The method of claim 2, wherein, The user data also includes: transformer capacity, maximum load rate, and monthly demand threshold; The determination of the maximum hourly chargeable capacity and maximum hourly dischargeable capacity for different time periods based on the load data, the photovoltaic power generation data, and the user data includes: Obtain the initial hourly maximum rechargeable amount, and take the maximum value between the initial hourly maximum rechargeable amount and zero as the hourly maximum rechargeable amount; Wherein, the initial hourly maximum rechargeable amount is the sum of the product of the transformer capacity, the maximum load rate, and time, and the difference between the photovoltaic power generation and the load power consumption within the hour; or the initial hourly maximum rechargeable amount is the sum of the monthly demand threshold and the difference between the photovoltaic power generation and the load power consumption within the hour. Obtain the initial hourly maximum discharge capacity, and take the maximum value between the initial hourly maximum discharge capacity and zero as the hourly maximum discharge capacity. The initial hourly maximum discharge capacity is the difference between the load power consumption and the photovoltaic power generation within the hour.

6. The method of claim 4, wherein, The remaining energy storage capacity is determined based on the hourly charging amount, hourly discharging amount, hourly absorption of surplus photovoltaic power, or rated capacity of the energy storage device in the previous period, including: When the energy storage device is used for the first time, the remaining energy storage capacity is the rated capacity or the initial capacity; If the previous period was a period for energy storage charging, the remaining energy storage capacity is the sum of the remaining energy storage capacity of the previous period, the product of the hourly charging amount, and the charging efficiency. If the previous period was an energy storage discharge period and the photovoltaic power generation was less than or equal to the load power consumption, the remaining energy storage capacity is the difference between the remaining energy storage capacity of the previous period and the ratio of the hourly discharge amount and the discharge efficiency. If the previous time period is the first preset time period, the remaining energy storage capacity is the sum of the remaining energy storage capacity of the previous time period, the product of the hourly photovoltaic surplus power consumption, and the charging efficiency.

7. The method of claim 4, wherein, The user data also includes peak and off-peak periods, which include peak periods, high-peak periods, low-peak periods, and low-peak periods; the annual revenue includes the revenue for the first year. The annual revenue is determined based on the hourly charging and discharging capacity of energy storage devices and the hourly consumption of surplus photovoltaic power at different times of the year, including: The sum of the products of the total hourly discharge volume during peak hours and the corresponding electricity price, the total hourly discharge volume during peak hours and the corresponding electricity price, the total hourly discharge volume during average hours and the corresponding electricity price, and the total hourly discharge volume during off-peak hours and the corresponding electricity price will be used as the annual discharge revenue for the first year. The sum of the following products is used as the annual charging cost for the first year: the sum of the hourly charging volume during peak hours and the corresponding electricity price, the sum of the hourly charging volume during normal hours and the corresponding electricity price, the sum of the hourly charging volume during off-peak hours and the corresponding electricity price, and the sum of the hourly surplus photovoltaic power consumed and the photovoltaic electricity price. The difference between the annual discharge revenue and the annual charging cost in the first year is taken as the annual revenue in the first year.

8. The method according to any one of claims 1 to 7, characterized in that, The user data also includes the decay rate; the annual revenue includes the annual revenue of the first year and the annual revenue of the Nth year, where N is an integer greater than 1; The product of the first year's annual return and the decay index is taken as the Nth year's annual return, where the decay index is the N-1th power of the difference between 1 and the decay rate.

9. The method of claim 1, wherein, The method of determining the hourly charging amount, hourly discharging amount, or hourly consumption of surplus photovoltaic power of the energy storage device at different time periods based on at least one of the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy further includes: Construct electricity price templates and energy storage templates; Import the load data, the photovoltaic power generation data, and the user data into the electricity price template or the energy storage template; Based on the data in the electricity price template or the energy storage template, determine the hourly charging amount, hourly discharging amount, or hourly consumption of surplus photovoltaic power of the energy storage device at different times of the year; The electricity price template includes fields for peak and off-peak periods, energy storage charging periods, energy storage discharging periods, ideal daily charging duration, number of energy storage devices, load electricity consumption, photovoltaic power generation, monthly demand threshold, applicable months for the energy storage charging period and the energy storage discharging period, and a preset photovoltaic surplus power consumption strategy. The energy storage template, based on the electricity price template, also includes: rated power field, rated capacity field, charging efficiency field, discharging efficiency field, depth of discharge field, and maximum load field.

10. An energy storage device estimation device characterized by comprising: The device includes: The data acquisition module is used to acquire load data, photovoltaic power generation data, and user data; The power calculation module is used to determine the hourly charging amount, hourly discharging amount, or hourly photovoltaic surplus power consumption of the energy storage device at different time periods based on at least one of the load data, the photovoltaic power generation data, the user data, and the preset photovoltaic surplus power consumption strategy; the preset photovoltaic surplus power consumption strategy is related to the electricity price. The revenue calculation module is used to determine the annual revenue based on the hourly charging amount, hourly discharging amount, and hourly consumption of surplus photovoltaic power of the energy storage device at different times throughout the year. The calculation module is used to determine the payback period based on annual revenue and total cost.

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