Energy storage income measuring and calculating method and device, electronic equipment and storage medium

Abstract

The invention provides an energy storage income measuring and calculating method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining charging cost information, charging and discharging information corresponding to a battery, and battery electric quantity information; determining the single-day peak load shifting income of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery electric quantity information and the one-way efficiency of the battery; wherein the charging cost information comprises an electricity charge valley price, an electricity charge average price, an electricity charge peak price and an electricity charge tip price; the charging and discharging information comprises valley value charging times, flat value charging times, peak value electricity utilization times and peak value electricity utilization time; the battery electric quantity information represents the electric quantity corresponding to each charging and discharging of the battery; and determining the annual energy storage income based on the single-day peak clipping and valley filling income, the annual electricity consumption day number and the predetermined battery charge state. According to the method, the charging efficiency of the battery and the attenuation of the battery are considered, the energy storage income is measured and calculated finely, and the accuracy of the energy storage income is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to an energy storage benefit calculation method, device, electronic equipment and storage medium. Background Art

[0002] With the popularity of energy storage, customers are most concerned about their actual benefits, among which the most intuitive benefit is peak-valley arbitrage. Peak-valley arbitrage mainly involves charging during low electricity price periods and discharging during high electricity price periods, and making profits by taking advantage of the price difference between different periods.

[0003] In related technologies, peak electricity prices, off-peak electricity prices and parity prices are usually used to determine the profits obtained, but issues such as battery charging efficiency and battery attenuation are not taken into account, making it impossible to accurately calculate the energy storage benefits. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method, device, electronic device and storage medium for calculating energy storage benefits, which can refine the calculation of energy storage benefits by considering battery charging efficiency and battery attenuation, thereby improving the accuracy of energy storage benefits.

[0005] In a first aspect, an embodiment of the present invention provides an energy storage benefit calculation method for determining the annual energy storage benefit of an energy storage cabinet, the energy storage cabinet including a battery, the method including: obtaining charging cost information and charging and discharging information and battery power information corresponding to the battery; determining the single-day peak shaving and valley filling benefit of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery power information and the unidirectional efficiency of the battery; wherein the charging cost information includes: a valley price of electricity, a flat price of electricity, a peak price of electricity and a peak price of electricity; the charging and discharging information includes: the number of valley charging times, the number of flat charging times, the number of peak power consumption times and the peak power consumption time; the battery power information characterizes the power corresponding to each charging and discharging of the battery; and determining the annual energy storage benefit based on the single-day peak shaving and valley filling benefit, the number of power consumption days throughout the year and a predetermined battery state of charge.

[0006] In a preferred embodiment of the present invention, the above-mentioned determination of the single-day peak-shaving and valley-filling revenue of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery power information and the unidirectional efficiency of the battery includes: determining the single-day valley-price charging cost of the daily electricity bill based on the valley price of electricity bill, the number of valley-value charging times, the unidirectional efficiency and the first charging amount corresponding to the valley-value charging in the battery power information; determining the single-day parity charging cost of the daily electricity bill based on the parity price of electricity bill, the number of parity charging times, the unidirectional efficiency and the second charging amount corresponding to the parity charging in the battery power information; determining the single-day peak-price electricity cost based on the peak price of electricity bill, the number of peak power usage times, the unidirectional efficiency and the first discharging amount corresponding to the peak power usage in the battery power information; determining the single-day peak-price electricity cost based on the peak price of electricity bill, the peak-value power usage time, the unidirectional efficiency and the preset peak power; determining the single-day peak-shaving and valley-filling revenue based on the single-day valley-price charging cost of electricity bill, the single-day parity charging cost of electricity bill, the single-day peak-price electricity cost and the single-day peak-power cost of electricity bill.

[0007] In a preferred embodiment of the present invention, the above-mentioned determination of the single-day peak shaving and valley filling profit based on the single-day electricity tariff valley price charging cost, the single-day electricity tariff parity charging cost, the single-day electricity tariff peak price electricity cost and the single-day electricity tariff peak price electricity cost includes: determining the single-day peak shaving and valley filling profit based on the single-day electricity tariff valley price charging cost, the single-day electricity tariff parity charging cost, the single-day electricity tariff peak price electricity cost and the single-day electricity tariff peak price electricity cost through the following formula: Single-day peak shaving and valley filling profit = single-day electricity tariff peak price electricity cost + single-day electricity tariff peak price electricity cost - single-day electricity tariff valley price charging cost - single-day electricity tariff parity charging cost.

[0008] In a preferred embodiment of the present invention, the above-mentioned determination of the valley price charging fee for a single day based on the valley price of electricity, the number of valley charging times, the one-way efficiency and the first charging amount corresponding to the valley charging in the battery power information includes: determining the valley price charging fee for a single day based on the valley price of electricity, the number of valley charging times, the one-way efficiency and the first charging amount corresponding to the valley charging in the battery power information by the following formula: valley price charging fee for a single day = (1 / one-way efficiency) * valley price of electricity * first charging amount * number of valley charging times; determining the parity charging fee for a single day based on the parity of electricity, the number of parity charging times, the one-way efficiency and the second charging amount corresponding to the parity charging in the battery power information includes: determining the parity charging fee for a single day based on the parity of electricity, the number of parity charging times, the one-way efficiency and the second charging amount corresponding to the parity charging in the battery power information by the following formula: parity charging fee for a single day = (1 / one-way efficiency) * parity of electricity * second charging amount *Number of average charging times; Determine the peak price electricity cost of a single day based on the peak price of electricity, the number of peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information, including: Determine the peak price electricity cost of a single day based on the peak price of electricity, the number of peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information through the following formula: The peak price electricity cost of a single day = One-way efficiency * peak price of electricity * first discharge amount * number of peak electricity usage times; Determine the peak price of a single day based on the peak price of electricity, the peak price of electricity, a predetermined peak electricity usage time, the one-way efficiency and the pre-set peak power, including: Determine the peak price of a single day based on the peak price of electricity, the peak price of electricity, the predetermined peak electricity usage time, the one-way efficiency and the pre-set peak power through the following formula: The peak price electricity cost of a single day = One-way efficiency * (peak price of electricity - peak price of electricity) * peak power * peak electricity usage time.

[0009] In a preferred embodiment of the present invention, the above-mentioned determination of the annual energy storage benefit based on the peak shaving and valley filling benefit of a single day, the number of electricity consumption days throughout the year and the predetermined battery state of charge includes: determining the annual energy storage benefit based on the peak shaving and valley filling benefit of a single day, the number of electricity consumption days throughout the year and the predetermined battery state of charge through the following formula: Annual energy storage benefit = (peak shaving and valley filling benefit of a single day * number of electricity consumption days throughout the year + peak electricity cost of a single day * number of peak days) * battery state of charge.

[0010] In a preferred embodiment of the present invention, the above-mentioned battery state of charge is determined as follows: based on the battery cell temperature and battery cell voltage, the battery decay rate over multiple years is sequentially counted; based on multiple decay rates, the target decay rate of the battery corresponding to the current use stage is determined; the current use stage characterizes the usage time of the battery from the first time it is used to the current time; the unit of the usage time is year; the battery state of charge is determined based on the target decay rate.

[0011] In a preferred embodiment of the present invention, the method further includes: determining whether the battery charge state meets a preset state threshold; if the battery charge state does not meet the state threshold, the battery is scrapped.

[0012] In a second aspect, an embodiment of the present invention further provides an energy storage benefit calculation device, which is used to determine the annual energy storage benefit of an energy storage cabinet, the energy storage cabinet includes a battery, and the device includes: an information acquisition module, which is used to obtain charging cost information and charging and discharging information and battery power information corresponding to the battery; a single-day peak shaving and valley filling benefit determination module, which is used to determine the single-day peak shaving and valley filling benefit of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery; wherein the charging cost information includes: valley price of electricity, flat price of electricity, peak price of electricity and peak price of electricity; the charging and discharging information includes: valley charging times, flat charging times, peak power consumption times and peak power consumption time; the battery power information characterizes the power corresponding to each charging and discharging of the battery; the annual energy storage benefit determination module is used to determine the annual energy storage benefit based on the single-day peak shaving and valley filling benefit, the number of electricity consumption days throughout the year and a predetermined battery state of charge.

[0013] In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the energy storage benefit calculation method of the first aspect above.

[0014] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the energy storage benefit calculation method of the first aspect mentioned above.

[0015] The embodiments of the present invention bring the following beneficial effects: The embodiment of the present invention provides a method, device, electronic device and storage medium for calculating energy storage benefits, which are used to determine the annual energy storage benefits of an energy storage cabinet, wherein the energy storage cabinet includes a battery, and the single-day peak-shaving and valley-filling benefits of the energy storage cabinet are determined based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery by obtaining the charging cost information and the corresponding charging and discharging information of the battery; wherein the charging cost information includes: the valley price of electricity, the flat price of electricity, the peak price of electricity and the peak price of electricity; the charging and discharging information includes: the number of valley charging times, the number of flat charging times, the peak power consumption times and the peak power consumption time; the battery power information characterizes the power corresponding to each charging and discharging of the battery; and the annual energy storage benefits are determined based on the single-day peak-shaving and valley-filling benefits, the number of electricity consumption days throughout the year and the predetermined battery charge state. In this method, the energy storage benefits are refinedly calculated by considering the charging efficiency and battery attenuation of the battery, thereby improving the accuracy of the energy storage benefits.

[0016] Other features and advantages of the present disclosure will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by implementing the above-mentioned technology of the present disclosure.

[0017] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flow chart of a method for calculating energy storage benefits provided by an embodiment of the present invention; Figure 2 The figure shows a schematic diagram of an electricity price table for commercial and industrial users purchased electricity by an electric power company according to an embodiment of the present invention; Figure 3 A flowchart of another energy storage benefit calculation method provided by an embodiment of the present invention; Figure 4 A schematic diagram of the structure of an energy storage benefit calculation device provided by an embodiment of the present invention; Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] With the popularity of energy storage, customers are most concerned about their actual benefits, among which the most intuitive benefit is peak-valley arbitrage. Peak-valley arbitrage mainly involves charging during low electricity price periods and discharging during high electricity price periods, and making profits by taking advantage of the price difference between different periods.

[0022] In related technologies, peak electricity prices, off-peak electricity prices and parity prices are usually used to determine the profits obtained, but issues such as battery charging efficiency and battery attenuation are not taken into account, making it impossible to accurately calculate the energy storage benefits.

[0023] Based on this, an energy storage benefit calculation method, device, electronic device and storage medium provided in an embodiment of the present invention can obtain charging cost information and the charging and discharging information and battery power information corresponding to the battery, and determine the single-day peak-shaving and valley-filling benefit of the energy storage cabinet based on the charging cost information, charging and discharging information, battery power information and the one-way efficiency of the battery; wherein the charging cost information includes: valley price of electricity, flat price of electricity, peak price of electricity and peak price of electricity; the charging and discharging information includes: valley charging times, flat charging times, peak power consumption times and peak power consumption time; the battery power information characterizes the power corresponding to each charging and discharging of the battery; the annual energy storage benefit is determined based on the single-day peak-shaving and valley-filling benefit, the number of electricity consumption days throughout the year and the predetermined battery charge state. In this method, by considering the charging efficiency and battery attenuation of the battery, the energy storage benefit is refined and the accuracy of the energy storage benefit is improved.

[0024] To facilitate understanding of this embodiment, a method for calculating energy storage benefits disclosed in an embodiment of the present invention is first introduced in detail.

[0025] Example 1 An embodiment of the present invention provides an energy storage benefit calculation method for determining the annual energy storage benefit of an energy storage cabinet, wherein the energy storage cabinet includes a battery, Figure 1 A flow chart of a method for calculating energy storage benefits provided by an embodiment of the present invention. Figure 1 As shown, the energy storage benefit calculation method may include the following steps: Step S101, obtaining charging cost information and the charging and discharging information and battery power information corresponding to the battery.

[0026] Among them, the charging cost information includes: valley price, parity price, peak price and peak price; the charging and discharging information includes: valley charging times, parity charging times, peak power usage times and peak power usage time; the battery power information represents the power corresponding to each charging and discharging of the battery.

[0027] Among them, the charging cost information can be determined based on the electricity price information of commercial users who purchase electricity from the local power company. The information can be presented in the form of a table and can be queried through the official website of the corresponding power company.

[0028] The charge and discharge information is determined according to actual conditions, and the battery power information is determined according to the actual charge and discharge power during each charge and discharge.

[0029] For ease of understanding, Figure 2The figure shows a schematic diagram of a power price list for commercial and industrial users provided by a power company according to an embodiment of the present invention. For example, a user needs to configure a set of 100kW / 200kWh energy storage cabinets, and the battery system is 380V low-voltage grid-connected, and the grid-connected plant transformer voltage is 10KV. Figure 2 As shown, the circled position is the corresponding charging fee information, among which the electricity price during peak hours corresponds to the peak price of electricity, the electricity price during peak hours corresponds to the peak price of electricity, the electricity price during normal hours corresponds to the parity price of electricity, and the electricity price during off-peak hours corresponds to the valley price of electricity.

[0030] Among them, the peak period is usually included in the peak period, and the cost of peak electricity consumption can be expressed as the peak price of electricity minus the peak price of electricity.

[0031] It should be noted that Figure 2 It only corresponds to a certain month in a year. The price and time division of each month may be different. For example, the peak electricity price policy for a certain province is mainly for industrial electricity consumption, and is divided into two periods, summer and winter. Summer can be July and August. The peak electricity price period in summer can be 14:00-15:00 and 19:30-21:30 every day, a total of two hours. Winter can be December and January of the following year. The peak electricity price period in winter can be 18:00-20:00 every day, a total of two hours. Then the time corresponding to the peak electricity price in a year is 4 months, and the number of days corresponding to the specific peak electricity price is converted according to the number of days in the corresponding month. Among them, when the peak time and the peak time coincide, the peak electricity price can be directly superimposed on the peak electricity price.

[0032] Step S102, determining the peak shaving and valley filling benefit of the energy storage cabinet on a single day based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery.

[0033] Among them, you can charge when electricity prices are at parity or valley prices, and use electricity when electricity prices are at peak or peak prices, thereby making a profit.

[0034] Among them, the one-way efficiency of the battery can be 95%, and losses will occur during the operation of the system. For example, a 200kWh battery requires 210.52kWh of electricity to fully charge, and a 200kWh battery can only discharge 196kWh of electricity, that is, the one-way efficiency is 95%.

[0035] Step S103, determining the annual energy storage benefit based on the peak shaving and valley filling benefit of a single day, the number of electricity consumption days throughout the year and the predetermined battery state of charge.

[0036] The number of days of electricity consumption throughout the year is determined based on actual conditions. For example, it is necessary to deduct the time for maintenance when a storage cabinet fails, the time for installation and transportation of the storage cabinet, and other time when the cabinet cannot be used for work.

[0037] Specifically, the annual energy storage benefit can be determined based on the peak shaving and valley filling benefit of a single day, the number of electricity consumption days throughout the year and the predetermined battery state of charge by the following formula: Annual energy storage benefit = peak shaving and valley filling benefit of a single day * number of electricity consumption days throughout the year * battery state of charge.

[0038] It should be noted that due to the different seasons, the time periods corresponding to various prices may be different, so the corresponding single-day peak shaving and valley filling benefits may be different. Therefore, it is necessary to multiply the different single-day peak shaving and valley filling benefits by the corresponding number of electricity consumption days and add them up to correspond to the single-day peak shaving and valley filling benefits in the above formula * the number of electricity consumption days in the whole year. At this time: Annual energy storage benefits = (first single-day peak shaving and valley filling benefits * first number of electricity consumption days + second single-day peak shaving and valley filling benefits * second number of electricity consumption days) * battery state of charge, where the first number of electricity consumption days + the second number of electricity consumption days = the number of days in the whole year.

[0039] Specifically, the battery state of charge can be determined by: sequentially counting the battery decay rate over multiple years based on the battery cell temperature and battery cell voltage; determining a target decay rate corresponding to the battery in the current use stage based on multiple decay rates; and determining the battery state of charge based on the target decay rate.

[0040] The battery state of charge in the first year is 100%, and the battery state of charge in the second year is affected by the attenuation rate of the battery in the first year.

[0041] Among them, the attenuation rates of multiple batteries over multiple years can be counted. For example, the attenuation rate of battery 1 from the use of N-1 years to the use of N years is counted, and the attenuation rate of battery 2 from the use of N-1 years to the use of N years is counted, where N is a positive integer. The attenuation rates of multiple batteries in each year are then averaged and the results are used as the attenuation rates in the corresponding years.

[0042] Among them, the current usage stage represents the usage time of the battery from the first time it was used to the current time; the unit of usage time is year, such as the first year of use, the second year of use, etc., and the target decay rate is determined by the decay rate of the current usage stage in the corresponding years determined above.

[0043] Among them, the battery state of charge = 1-target decay rate.

[0044] As an implementation method, the decay rates of multiple batteries over multiple years and the number of abnormal cell temperatures and cell voltages in the corresponding years can be counted. For example, the decay rate of battery 1 from N-1 years of use to N years of use and the number of abnormal cell temperatures and cell voltages in the corresponding years are counted; the decay rate of battery 2 from N-1 years of use to N years of use and the number of abnormal cell temperatures and cell voltages in the corresponding years are counted, where N is a positive integer. This determines the decay rate of each battery in the current year, the number of abnormal cell temperatures and cell voltages in the previous year, and the mapping relationship between the corresponding years. The mapping relationship can be specifically the decay rate of the current year, the abnormal number interval of the previous year, and the mapping relationship between the corresponding years. The result after mean processing is used as the mapping relationship between the decay rate and the abnormal number interval of each battery in the corresponding year.

[0045] For example, in the first year of battery use, the number of abnormalities in the battery cell temperature and the battery cell voltage is within the first abnormal number interval. Then the target decay rate of the battery in the second year of use is the decay rate corresponding to the second year and the first abnormal number interval.

[0046] Furthermore, in order to avoid negative revenue growth due to excessive battery loss, it is possible to determine whether the battery state of charge meets a preset state threshold; if the battery state of charge does not meet the state threshold, the battery is scrapped.

[0047] In order to ensure the health of the battery, the discharge depth of the battery can be limited, and the battery cell temperature and battery cell voltage can be controlled. For example, the discharge depth is adjusted to 90%, so that the battery can only discharge 90% of its power at most. The battery cell temperature and battery cell voltage are controlled as much as possible to ensure that the battery is in the best working environment. At this time: Annual energy storage income = single-day peak shaving and valley filling income * annual electricity consumption days * battery charge state * discharge depth.

[0048] Furthermore, after determining the annual energy storage benefits for multiple years, the total benefits of the energy storage cabinet can be determined.

[0049] Among them, parameters such as project cost, project sharing ratio, operation and maintenance costs can also be added to the calculation as influencing parameters of energy storage benefits, so as to determine the personal benefits of each person participating in the project sharing.

[0050] The energy storage benefit calculation method provided in the embodiment of the present invention can obtain the charging cost information and the charging and discharging information and battery power information corresponding to the battery, and determine the single-day peak-shaving and valley-filling benefit of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery; wherein the charging cost information includes: the valley price of electricity, the flat price of electricity, the peak price of electricity and the peak price of electricity; the charging and discharging information includes: the number of valley charging times, the number of flat charging times, the peak power consumption times and the peak power consumption time; the battery power information characterizes the power corresponding to each charging and discharging of the battery; the annual energy storage benefit is determined based on the single-day peak-shaving and valley-filling benefit, the number of electricity consumption days throughout the year and the predetermined battery charge state. In this method, by considering the charging efficiency and battery attenuation of the battery, the energy storage benefit is refined and the accuracy of the energy storage benefit is improved.

[0051] Example 2 The embodiment of the present invention also provides another method for calculating energy storage benefits; this method is implemented on the basis of the method in the above embodiment; this method focuses on describing the specific implementation method of determining the single-day peak shaving and valley filling benefits of the energy storage cabinet based on charging cost information, charging and discharging information, battery power information and the one-way efficiency of the battery.

[0052] Figure 3 A flowchart of another energy storage benefit calculation method provided by an embodiment of the present invention, such as Figure 3 As shown, the method for determining the peak shaving and valley filling benefits of the energy storage cabinet on a single day based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery may include the following steps: Step S201, determining the valley price charging fee of the electricity tariff for a single day based on the valley price of electricity, the number of valley charging times, the one-way efficiency and the first charging amount corresponding to the valley charging in the battery power information.

[0053] Specifically, the valley price charging fee for a single day is determined based on the valley price of electricity, the number of valley charging times, the one-way efficiency, and the first charging amount corresponding to the valley charging in the battery power information through the following formula: valley price charging fee for a single day = (1 / one-way efficiency) * valley price of electricity * first charging amount * number of valley charging times; Step S202, based on the electricity price parity, the number of parity charging times, the one-way efficiency and the second charging amount corresponding to the parity charging in the battery power information, determine the parity charging fee of the electricity price for a single day.

[0054] Specifically, the daily electricity parity charging fee is determined based on the electricity parity, the number of parity charging times, the one-way efficiency, and the second charging amount corresponding to the parity charging in the battery power information through the following formula: the daily electricity parity charging fee = (1 / one-way efficiency) * electricity parity * second charging amount * number of parity charging times; Step S203, determining the peak electricity price for a single day based on the peak electricity price, the number of peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information.

[0055] Specifically, the peak electricity price per day is determined based on the peak electricity price, the number of peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information through the following formula: the peak electricity price per day = one-way efficiency * peak electricity price * first discharge amount * peak electricity usage times; Step S204, determining the peak electricity cost of a single day's electricity bill based on the peak electricity price, the peak electricity price, the predetermined peak electricity consumption time, the one-way efficiency and the preset peak power.

[0056] Specifically, the peak electricity consumption fee for a single day is determined based on the peak electricity price, the peak electricity price, the predetermined peak electricity consumption time, the one-way efficiency and the preset peak power by the following formula: The peak electricity consumption fee for a single day = one-way efficiency * (peak electricity price - peak electricity price) * peak power * peak electricity consumption time.

[0057] Step S205, based on the valley price charging fee of the daily electricity tariff, the parity price charging fee of the daily electricity tariff, the peak price electricity consumption fee of the daily electricity tariff and the peak electricity consumption fee of the daily electricity tariff, determine the peak price charging fee of the daily electricity tariff.

[0058] Specifically, the single-day peak shaving and valley filling profit is determined by the following formula based on the single-day electricity tariff valley price charging cost, the single-day electricity tariff parity charging cost, the single-day electricity tariff peak price electricity cost and the single-day electricity tariff peak price electricity cost: Single-day peak shaving and valley filling profit = single-day electricity tariff peak price electricity cost + single-day electricity tariff peak price electricity cost - single-day electricity tariff valley price charging cost - single-day electricity tariff parity charging cost.

[0059] It should be noted that when the valley charging times, the average charging times and the peak power consumption times are all positive integers greater than or equal to 1, and the first charging amount, the second charging amount and the first discharging amount are all system power, the battery is fully charged and discharged. When the battery is fully charged and discharged, the energy storage cabinet has the maximum energy storage benefit. At this time: The charging cost of valley price of daily electricity = (1 / one-way efficiency) * valley price of electricity * system power * number of valley price full charges; the charging cost of parity price of daily electricity = (1 / one-way efficiency) * parity price of electricity * system power * number of parity price full charges; the electricity cost of peak price of daily electricity = one-way efficiency * peak price of electricity * system power * number of peak price full discharges; the electricity cost of peak price of daily electricity = one-way efficiency * (peak price of electricity - peak price of electricity) * peak power * peak time of electricity consumption. Corresponding to the above parameters, the income of peak shaving and valley filling in a single day = electricity cost of peak price of daily electricity + electricity cost of peak price of daily electricity - charging cost of valley price of daily electricity - charging cost of parity price of daily electricity.

[0060] Among them, the system power is the total power of the entire energy storage cabinet. The number of peak price full discharges = the number of valley price full charges + the number of par price full charges. The specific number of peak price full discharges, peak power consumption time, valley price full charges and par price full charges are determined based on the user's actual local power consumption time, the total power and total power of the energy storage cabinet.

[0061] The energy storage benefit calculation method provided in the embodiment of the present invention can accurately determine the peak shaving and valley filling benefit of a single day through the above formula, and then combine the battery charge state and the number of electricity consumption days throughout the year to finely calculate the energy storage benefit, thereby improving the accuracy of the energy storage benefit.

[0062] Example 3 In response to the above method embodiment, the embodiment of the present invention provides an energy storage benefit calculation device for determining the annual energy storage benefit of an energy storage cabinet, the energy storage cabinet including a battery, Figure 4 A schematic diagram of a storage benefit calculation device provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, the energy storage benefit calculation device may include: The information acquisition module 301 is used to acquire charging cost information and the charging and discharging information and battery power information corresponding to the battery.

[0063] The single-day peak-shaving and valley-filling revenue determination module 302 is used to determine the single-day peak-shaving and valley-filling revenue of the energy storage cabinet based on the charging cost information, charging and discharging information, battery power information and the one-way efficiency of the battery. The charging cost information includes: valley price, flat price, peak price and peak price; the charging and discharging information includes: valley charging times, flat charging times, peak power usage times and peak power usage time; the battery power information represents the power corresponding to each charging and discharging of the battery.

[0064] The annual energy storage benefit determination module 303 is used to determine the annual energy storage benefit based on the peak shaving and valley filling benefit of a single day, the number of electricity consumption days throughout the year and the predetermined battery charge state.

[0065] The energy storage benefit calculation device provided in the embodiment of the present invention can obtain the charging cost information and the charging and discharging information and battery power information corresponding to the battery, and determine the single-day peak-shaving and valley-filling benefit of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery; wherein the charging cost information includes: the valley price of electricity, the flat price of electricity, the peak price of electricity and the peak price of electricity; the charging and discharging information includes: the number of valley charging times, the number of flat charging times, the peak power consumption times and the peak power consumption time; the battery power information characterizes the power corresponding to each charging and discharging of the battery; the annual energy storage benefit is determined based on the single-day peak-shaving and valley-filling benefit, the number of electricity consumption days throughout the year and the predetermined battery charge state. In this method, by considering the charging efficiency and battery attenuation of the battery, the energy storage benefit is refined and the accuracy of the energy storage benefit is improved.

[0066] In some embodiments, the module for determining the revenue of a single day peak shaving and valley filling is further used to determine the valley price charging fee of a single day electricity tariff based on the valley price of electricity tariff, the number of valley charging times, the one-way efficiency and the first charging amount corresponding to the valley charging in the battery power information; to determine the parity charging fee of a single day electricity tariff based on the parity price of electricity tariff, the number of parity charging times, the one-way efficiency and the second charging amount corresponding to the parity charging in the battery power information; to determine the peak price electricity cost of a single day electricity tariff based on the peak price of electricity tariff, the number of peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information; to determine the peak electricity cost of a single day electricity tariff based on the peak price of electricity tariff, the peak electricity usage time, the one-way efficiency and the pre-set peak power; to determine the revenue of a single day peak shaving and valley filling based on the valley price charging fee of a single day electricity tariff, the parity charging fee of a single day electricity tariff, the peak price electricity cost of a single day electricity tariff and the peak electricity cost of a single day electricity tariff.

[0067] In some embodiments, the single-day peak shaving and valley filling profit determination module is also used to determine the single-day peak shaving and valley filling profit based on the single-day electricity tariff valley price charging cost, the single-day electricity tariff parity charging cost, the single-day electricity tariff peak price electricity cost and the single-day electricity tariff peak price electricity cost through the following formula: Single-day peak shaving and valley filling profit = single-day electricity tariff peak price electricity cost + single-day electricity tariff peak price electricity cost - single-day electricity tariff valley price charging cost - single-day electricity tariff parity charging cost.

[0068] In some embodiments, the module for determining the revenue of peak shaving and valley filling for a single day is further used to determine the valley price charging fee of a single day electricity tariff based on the valley price of electricity tariff, the number of valley charging times, the one-way efficiency, and the first charging amount corresponding to the valley charging in the battery power information by the following formula: valley price charging fee of a single day electricity tariff = (1 / one-way efficiency) * valley price of electricity tariff * first charging amount * number of valley charging times. The parity charging fee of a single day electricity tariff is determined by the following formula based on the parity of electricity tariff, the number of parity charging times, the one-way efficiency, and the second charging amount corresponding to the parity charging in the battery power information: parity charging fee of a single day electricity tariff = (1 / one-way efficiency) * parity of electricity tariff * second charging amount * number of parity charging times. The peak price electricity cost of a single day electricity tariff is determined by the following formula based on the peak price of electricity tariff, the number of peak electricity usage times, the one-way efficiency, and the first discharge amount corresponding to the peak electricity usage in the battery power information: peak price electricity cost of a single day electricity tariff = one-way efficiency * peak price of electricity tariff * first discharge amount * number of peak electricity usage times. The peak electricity cost of a single day is determined by the following formula based on the peak electricity price, the peak electricity price, the predetermined peak electricity consumption time, the one-way efficiency and the preset peak power: The peak electricity cost of a single day = one-way efficiency * (peak electricity price - peak electricity price) * peak power * peak electricity consumption time.

[0069] In some embodiments, the annual energy storage benefit determination module is also used to determine the annual energy storage benefit based on the single-day peak shaving and valley filling benefit, the number of electricity consumption days throughout the year and the predetermined battery state of charge through the following formula: Annual energy storage benefit = single-day peak shaving and valley filling benefit * number of electricity consumption days throughout the year * battery state of charge.

[0070] In some embodiments, the annual energy storage benefit determination module is also used to sequentially count the decay rate of the battery over multiple years based on the battery cell temperature and battery cell voltage; determine the target decay rate of the battery corresponding to the current use stage based on multiple decay rates; the current use stage characterizes the usage time of the battery from the first time it was used to the current time; the unit of the usage time is year; and determine the battery state of charge based on the target decay rate.

[0071] In some embodiments, the annual energy storage benefit determination module is also used to determine whether the battery charge state meets a preset state threshold; if the battery charge state does not meet the state threshold, the battery is scrapped.

[0072] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0073] Example 4 The embodiment of the present invention also provides an electronic device for executing the above energy storage benefit calculation method; see Figure 5 A structural schematic diagram of an electronic device is shown, the electronic device includes a memory 400 and a processor 401, wherein the memory 400 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 401 to implement the above-mentioned energy storage benefit calculation method.

[0074] Further, Figure 5 The electronic device shown further includes a bus 402 and a communication interface 403 , and the processor 401 , the communication interface 403 and the memory 400 are connected via the bus 402 .

[0075] The memory 400 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 402 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0076] The processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 401. The above processor 401 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 400, and the processor 401 reads the information in the memory 400 and completes the steps of the method of the above embodiment in combination with its hardware.

[0077] An embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned energy storage benefit calculation method. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0078] The computer program product for performing the energy storage benefit calculation method provided in the embodiment of the present invention includes a computer-readable storage medium storing a non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be referred to the method embodiment, which will not be repeated here.

[0079] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0080] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0081] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0082] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0083] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that can be executed by a processor. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., various media that can store program codes.

[0084] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for calculating energy storage benefits, characterized in that: For determining the annual energy storage benefit of an energy storage cabinet, the energy storage cabinet comprising a battery, the method comprising: Obtaining charging fee information and charging and discharging information and battery power information corresponding to the battery; The single-day peak-shaving and valley-filling revenue of the energy storage cabinet is determined based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery; wherein the charging cost information includes: valley price, flat price, peak price and peak price; the charging and discharging information includes: valley charging times, flat charging times, peak power usage times and peak power usage time; the battery power information represents the power corresponding to each charging and discharging of the battery; The annual energy storage benefit is determined based on the peak shaving and valley filling benefit of the single day, the number of electricity consumption days throughout the year and the predetermined battery state of charge.

2. The method according to claim 1, characterized in that: The determining of the single-day peak shaving and valley filling benefit of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery includes: Determine a valley price charging fee for a single day based on the valley price of electricity, the number of valley charging times, the one-way efficiency, and a first charging amount corresponding to valley charging in the battery power information; Determine a parity charging fee for a single day of electricity charges based on the electricity parity, the parity charging times, the one-way efficiency, and a second charging amount corresponding to the parity charging in the battery power information; Determine the peak electricity price for a single day based on the peak electricity price, the peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information; Determine the peak electricity usage fee of the daily electricity fee based on the peak electricity price, the peak electricity price, the peak electricity usage time, the one-way efficiency and the preset peak power; The single-day peak shaving and valley filling income is determined based on the single-day electricity tariff valley price charging fee, the single-day electricity tariff parity price charging fee, the single-day electricity tariff peak price electricity fee and the single-day electricity tariff peak price electricity fee.

3. The method according to claim 2, characterized in that The determining of the single-day peak-shaving and valley-filling revenue based on the single-day electricity tariff valley-price charging fee, the single-day electricity tariff parity charging fee, the single-day electricity tariff peak-price electricity fee and the single-day electricity tariff peak-peak electricity fee includes: The single-day peak shaving and valley filling profit is determined by the following formula based on the single-day electricity tariff valley price charging cost, the single-day electricity tariff parity charging cost, the single-day electricity tariff peak price electricity cost and the single-day electricity tariff peak price electricity cost: Single-day peak shaving and valley filling profit = single-day electricity tariff peak price electricity cost + single-day electricity tariff peak price electricity cost - single-day electricity tariff valley price charging cost - single-day electricity tariff parity charging cost.

4. The method according to claim 2, characterized in that: The determining of the valley price charging fee for a single day of electricity based on the valley price of electricity, the number of valley charging times, the one-way efficiency, and the first charging amount corresponding to the valley charging in the battery power information includes: The valley price charging fee for a single day is determined based on the valley price of electricity, the number of valley charging times, the one-way efficiency and the first charging amount corresponding to the valley charging in the battery power information by the following formula: valley price charging fee for a single day of electricity = (1 / one-way efficiency) * valley price of electricity * first charging amount * number of valley charging times; The determining of the parity charging fee of the electricity fee for a single day based on the electricity fee parity, the parity charging times, the one-way efficiency and the second charging amount corresponding to the parity charging in the battery power information comprises: The daily electricity parity charging fee is determined based on the electricity parity, the number of parity charging times, the one-way efficiency and the second charging amount corresponding to the parity charging in the battery power information by the following formula: the daily electricity parity charging fee = (1 / one-way efficiency) * electricity parity * second charging amount * number of parity charging times; The determining of the peak electricity price for a single day based on the peak electricity price, the peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information comprises: The peak electricity price for a single day is determined based on the peak electricity price, the peak electricity usage times, the one-way efficiency and the first discharge amount corresponding to the peak electricity usage in the battery power information by the following formula: the peak electricity price for a single day = one-way efficiency * peak electricity price * first discharge amount * peak electricity usage times; The step of determining the peak electricity usage fee of a single day's electricity fee based on the peak electricity price, the peak electricity price, the predetermined peak electricity usage time, the one-way efficiency and the preset peak power includes: The peak electricity consumption fee for a single day is determined based on the peak electricity price, the peak electricity price, the predetermined peak electricity consumption time, the one-way efficiency and the preset peak power by the following formula: the peak electricity consumption fee for a single day = one-way efficiency * (peak electricity price - peak electricity price) * peak power * peak electricity consumption time.

5. The method according to claim 1, characterized in that The determining of the annual energy storage benefit based on the single-day peak shaving and valley filling benefit, the annual electricity consumption days and the predetermined battery state of charge includes: The annual energy storage benefit is determined by the following formula based on the single-day peak shaving and valley filling benefit, the annual number of electricity consumption days and the predetermined battery state of charge: Annual energy storage benefit = single-day peak shaving and valley filling benefit * annual number of electricity consumption days * battery state of charge.

6. The method according to claim 1, characterized in that The battery state of charge is determined as follows: sequentially counting the attenuation rate of the battery over multiple years based on the battery cell temperature and the battery cell voltage of the battery; Determine a target decay rate of the battery corresponding to a current use stage based on the multiple decay rates; the current use stage represents the use time of the battery from the first use to the current time; the unit of the use time is year; The battery state of charge is determined based on the target decay rate.

7. The method according to claim 6, characterized in that The method further comprises: Determining whether the battery state of charge meets a preset state threshold; If the battery charge state does not meet the state threshold, the battery is scrapped.

8. A device for calculating energy storage benefits, characterized in that: Used to determine the annual energy storage income of an energy storage cabinet, the energy storage cabinet includes a battery, and the device includes: An information acquisition module, used to acquire charging cost information and charging and discharging information and battery power information corresponding to the battery; A single-day peak shaving and valley filling profit determination module, used to determine the single-day peak shaving and valley filling profit of the energy storage cabinet based on the charging cost information, the charging and discharging information, the battery power information and the one-way efficiency of the battery; The charging cost information includes: valley price, flat price, peak price and peak price; the charging and discharging information includes: valley charging times, flat charging times, peak power usage times and peak power usage time; the battery power information represents the power corresponding to each charge and discharge of the battery; The annual energy storage benefit determination module is used to determine the annual energy storage benefit based on the peak shaving and valley filling benefit of the single day, the number of electricity consumption days in a year and the predetermined battery state of charge.

9. An electronic device, characterized in that: It includes a processor and a memory, the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the energy storage benefit calculation method described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the energy storage benefit calculation method described in any one of claims 1 to 7.

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