Electric quantity income calculation method and device and energy storage system

Abstract

The invention discloses an electric quantity income calculation method and device and an energy storage system. The method comprises the steps that according to the operation condition of an electric energy meter of the energy storage system, a corresponding calculation strategy is adopted to calculate the output electric quantity of the energy storage system in the current metering period; determining the electricity price according to the electricity price time period of the current metering period; wherein the electricity price period comprises an electricity price tip section, an electricity price peak section, an electricity price valley section and an electricity price flat section; and calculating the income of each metering period according to the output electric quantity in each metering period and the electricity price in the corresponding metering period, and then counting the incomes of all metering periods to obtain the total income. According to the invention, when the counting of the electric meter is abnormal, the output electric quantity and income calculation of the energy storage system can be ensured to be normally carried out, and the problem of electric quantity and income data missing or data error is avoided.

Description

Technical Field

[0001] The present invention relates to the field of electronic power technology, and in particular to an electric power revenue calculation method, device and energy storage system. Background Art

[0002] The energy storage system is equipped with an energy management system EMS, and the system also includes an energy meter, a power conversion system PCS, and a battery management system BMS. The EMS can be used to calculate power and revenue in order to measure and analyze economic benefits. The output power of the energy storage system is mainly obtained through the energy meter. When the meter counts abnormally, the output power and revenue calculation of the energy storage system will not be able to proceed normally, resulting in missing power and revenue data or data errors.

[0003] In view of the problem in the prior art that when the meter counts abnormally, the output power and revenue calculation of the energy storage system cannot be performed normally, resulting in missing power and revenue data or incorrect data, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present invention provide a method, device and energy storage system for calculating power revenue, so as to solve the problem in the prior art that when the electric meter counts abnormally, the output power and revenue calculation of the energy storage system cannot be performed normally, resulting in missing power and revenue data or data errors.

[0005] In order to solve the above technical problems, the present invention provides a method for calculating electric power revenue, which is applied to an energy storage system. The method comprises:

[0006] According to the operation status of the electric energy meter of the energy storage system, a corresponding calculation strategy is adopted to calculate the output power of the energy storage system in the current metering cycle;

[0007] The electricity price is determined according to the electricity price period of the current metering cycle; wherein the electricity price period includes the peak period, the peak period, the valley period and the flat period;

[0008] The revenue of each metering period is calculated based on the output power in each metering period and the corresponding electricity price in the metering period, and then the revenue of all metering periods is counted to obtain the total revenue.

[0009] Furthermore, according to the operation status of the electric energy meter of the energy storage system, a corresponding calculation strategy is adopted to calculate the output power of the energy storage system in the current metering cycle, including:

[0010] Determining whether the electric energy meter is abnormal;

[0011] If yes, then calculating the output power of the energy storage system according to the output voltage, output current and duration of the metering cycle of the energy storage system;

[0012] If not, the output power of the energy storage system is calculated according to the value displayed by the electric energy meter.

[0013] Further, determining whether the electric energy meter is abnormal includes:

[0014] Determine whether at least one of the following conditions is met:

[0015] The energy storage system is charging and discharging, and the reading of the electric energy meter does not change;

[0016] Alternatively, the change in the reading of the electric energy meter is greater than a first threshold;

[0017] Alternatively, the change amplitude of the reading of the electric energy meter is less than a second threshold value;

[0018] If yes, it is determined that the electric energy meter is abnormal;

[0019] If not, it is determined that the electric energy meter is normal.

[0020] Furthermore, the output power of the energy storage system is calculated according to the output voltage, output current and duration of the metering cycle of the energy storage system, which is implemented according to the following formula:

[0021] Q = V * I * T;

[0022] Wherein, Q is the output power, V is the output voltage, I is the output current, and T is the metering period.

[0023] Furthermore, the revenue of each metering period is calculated according to the output power in each metering period and the corresponding electricity price in the metering period, which is implemented according to the following formula:

[0024] S = Q * R;

[0025] Wherein, Q is the output power, and R is the electricity price during the measurement period.

[0026] Furthermore, the metering period is shorter than a preset duration.

[0027] Furthermore, the method further comprises:

[0028] The charging and discharging status of the energy storage system is determined according to the current electricity price period.

[0029] Furthermore, the charge and discharge state of the energy storage system is determined according to the current electricity price period, including:

[0030] If the current electricity price period is a valley period or a flat period, controlling the energy storage system to charge;

[0031] If the current electricity price period is a peak electricity price period or a peak electricity price period, the energy storage system is controlled to discharge.

[0032] The present invention also provides a device for calculating electric power revenue, the device comprising:

[0033] A first calculation module is used to calculate the output power of the energy storage system in the current metering cycle by adopting a corresponding calculation strategy according to the operation status of the electric energy meter of the energy storage system;

[0034] A determination module is used to determine the electricity price according to the electricity price period of the current metering cycle; wherein the electricity price period includes a peak electricity price period, a valley electricity price period, and a flat electricity price period;

[0035] The second operation module is used to calculate the revenue of each metering period according to the output power in each metering period and the electricity price in the corresponding metering period, and then count the revenues of all metering periods to obtain the total revenue.

[0036] The present invention also provides an energy storage system, comprising the above-mentioned electric quantity benefit calculation device.

[0037] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and the program implements the above-mentioned method for calculating the electric power benefit when executed by a processor.

[0038] The present invention also provides an electronic device, comprising:

[0039] one or more processors;

[0040] A storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned power benefit calculation method.

[0041] By applying the technical solution of the present invention, according to the operation status of the electric energy meter of the energy storage system, a corresponding calculation strategy is adopted to calculate the output power of the energy storage system in the current metering cycle. When the electric energy meter is abnormal, the power is calculated by means other than the electric energy meter. When the electric energy meter counts abnormally, the output power and revenue calculation of the energy storage system can be guaranteed to proceed normally, thereby avoiding the problem of missing or erroneous data on power and revenue. In addition, the electricity price is determined according to the electricity price period of the current metering cycle, and the revenue of each metering cycle is calculated according to the output power of the energy storage system in each metering cycle and the electricity price in the corresponding metering cycle. Then, the revenue of all metering cycles is counted to obtain the total revenue, which fully considers the difference in electricity prices during peak and valley periods and improves the accuracy of the calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flow chart of a method for calculating electric power revenue according to an embodiment of the present invention;

[0043] Figure 2 A battery voltage-capacity curve diagram of a battery in an existing energy storage system;

[0044] Figure 3 It is a schematic diagram of the distribution of the sharp, peak, flat and valley segments according to an embodiment of the invention;

[0045] Figure 4 is a flow chart of a method for calculating electric power revenue according to another embodiment of the present invention;

[0046] Figure 5 is a structural block diagram of an electric power revenue calculation device according to an embodiment of the present invention;

[0047] Figure 6 FIG. 4 is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all 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.

[0049] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two.

[0050] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0051] It should be understood that, although the terms first, second, etc. may be used to describe thresholds in embodiments of the present invention, these thresholds should not be limited to these terms. These terms are only used to distinguish different thresholds. For example, without departing from the scope of embodiments of the present invention, the first threshold may also be referred to as the second threshold, and similarly, the second threshold may also be referred to as the first threshold.

[0052] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0053] It should also be noted that the term "includes", "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, so that a commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the commodity or device including the elements.

[0054] The optional embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0055] Example 1

[0056] In view of the problem in the prior art that when the meter counts abnormally, the output power and revenue calculation of the energy storage system cannot be performed normally, resulting in missing power and revenue data or data errors, this embodiment provides a power revenue calculation method applied to the energy storage system. Figure 1 is a flow chart of a method for calculating electric power revenue according to an embodiment of the present invention. Figure 1 As shown, the electricity revenue calculation method includes:

[0057] S101, according to the operation status of the electric energy meter of the energy storage system, adopt a corresponding calculation strategy to calculate the output power of the energy storage system in the current metering cycle.

[0058] If the energy meter operates normally, the meter readings can be used to calculate the output power of the energy storage system. However, if the energy meter counts abnormally, in order to avoid missing or incorrect power data, other methods need to be used to calculate the output power. For example, the output power of the energy storage system can be calculated based on the power supply voltage, current, and duration of the energy storage system, or the output power of the energy storage system can be calculated based on the power and operating time of the electrical equipment.

[0059] Figure 2 A battery voltage-capacity curve diagram of a battery in an existing energy storage system, such as Figure 2 As shown in the figure, the voltage of the energy storage battery is a fluctuating curve when observed in a long-term range (such as several hours), but it can be regarded as a fixed value in a short-term range (such as within 3 seconds). Therefore, the charge and discharge energy can be calculated using a shorter time as the measurement cycle.

[0060] S102, determining the electricity price according to the electricity price period of the current metering cycle; wherein the electricity price period includes the peak period, the peak period, the valley period, and the flat period.

[0061] Figure 3 Schematic diagram of the distribution of the sharp, peak, flat and valley segments according to an embodiment of the invention, as shown in FIG. Figure 3 As shown, the valley section is 0:00-8:00, the flat section is 8:00-10:00, 12:00-14:00 and 9:00-24:00, the peak section is 10:00-11:00, 14:00-15:00 and 17:00-19:00, and the peak section is 11:00-12:00, 15:00-17:00). The EMS system can set the above-mentioned various electricity price periods and charging and discharging powers, and set the electricity prices for each electricity price period respectively. For example: the valley price is Rg, and the power is 300kW; the flat section, the electricity price is Rp, and the power is 300kW; the peak section, the electricity price is Rf, and the power is 300kW; the peak section, the electricity price is Rj, and the power is 300kW. Rg, Rp, Rf, and Rj increase in sequence.

[0062] S103, calculating the revenue of each metering period according to the output power of the energy storage system in each metering period and the electricity price in the corresponding metering period, and then calculating the revenue of all metering periods to obtain the total revenue.

[0063] As mentioned above, within a short period of time (for example, within 3 seconds), the voltage of the energy storage battery can be regarded as a fixed value. Therefore, it is necessary to set a sufficiently short metering period, first calculate the output power and revenue of each metering period, and then add up the revenue of all metering periods to obtain the total revenue.

[0064] The electricity revenue calculation method of this embodiment adopts a corresponding calculation strategy to calculate the output electricity of the energy storage system in the current metering cycle according to the operation status of the electricity meter of the energy storage system. When the electricity meter is abnormal, the electricity is calculated by a non-electricity meter method. When the electricity meter counts abnormally, the output electricity and revenue calculation of the energy storage system can be guaranteed to proceed normally, thereby avoiding the problem of missing or erroneous electricity and revenue data. In addition, the electricity price is determined according to the electricity price period of the current metering cycle, and the revenue of each metering cycle is calculated according to the output electricity of the energy storage system in each metering cycle and the electricity price in the corresponding metering cycle. Then, the revenue of all metering cycles is counted to obtain the total revenue, which fully considers the difference in electricity prices during peak and valley periods and improves the accuracy of the calculation results.

[0065] If the electric energy meter has a counting abnormality, in order to avoid missing or erroneous electric energy data, other methods need to be used to calculate the output electric energy of the energy storage system. If the electric energy is counted on the electrical appliance side, the output electric energy will be technically inaccurate due to line loss. In order to ensure accurate calculation of the output electric energy, in this embodiment, the output voltage, output current and the duration of the metering cycle are used to calculate the output electric energy of the energy storage system. Therefore, according to the operation of the electric energy meter of the energy storage system, a corresponding calculation strategy is adopted to calculate the output electric energy of the energy storage system in the current metering cycle, including: judging whether the electric energy meter is abnormal; if so, calculating the output electric energy of the energy storage system according to the output voltage, output current and the duration of the metering cycle of the energy storage system. Specifically, calculating the output electric energy of the energy storage system according to the output voltage, output current and the duration of the metering cycle of the energy storage system is implemented according to the following formula: Q=V*I*T; wherein Q is the output electric energy, V is the output voltage, I is the output current and T is the metering cycle; if not, calculating the output electric energy of the energy storage system according to the value displayed by the electric energy meter.

[0066] If the reading of the electric energy meter changes too much or too little, or the reading does not change when the energy storage system is charging and discharging, it indicates that the electric energy meter is abnormal. Therefore, judging whether the electric energy meter is abnormal includes: judging whether at least one of the following conditions is met: the energy storage system is charging and discharging, and the reading of the electric energy meter does not change; or the change amplitude of the reading of the electric energy meter is greater than the first threshold; or the change amplitude of the reading of the electric energy meter is less than the second threshold. Wherein, the second threshold is less than the first threshold. If yes, the electric energy meter is judged to be abnormal; if not, the electric energy meter is judged to be normal.

[0067] Due to different metering cycles, the electricity price time periods are different. In order to accurately calculate the revenue, the revenue of each metering cycle is calculated based on the output power and the electricity price, which is implemented according to the following formula: S=Q*R; wherein Q is the output power, and R is the electricity price within the metering cycle. The electricity prices are different in different electricity price time periods, and the electricity prices in the valley section, flat section, peak section, and peak section increase in sequence.

[0068] In order to ensure that the voltage of the energy storage battery can be regarded as unchanged during the metering period and to improve the calculation accuracy of the output power, the metering period needs to be set short enough. Therefore, the above metering period is less than the preset duration.

[0069] In order to maximize the benefits, the energy storage system should be charged when the electricity price is low and discharged when the electricity price is high. Since the electricity price is relatively low in the valley or flat period, and relatively high in the peak or peak period, the above method also includes: determining the charge and discharge state of the energy storage system according to the current electricity price period. Specifically, determining the charge and discharge state of the energy storage system according to the current electricity price period includes: if the current electricity price period is the valley or flat period, then controlling the energy storage system to charge; if the current electricity price period is the peak or peak period, then controlling the energy storage system to discharge.

[0070] Example 2

[0071] This embodiment provides another method for calculating the power revenue. Figure 4 FIG. 1 is a flow chart of a method for calculating electric power revenue according to another embodiment of the present invention. Figure 4 As shown, the electricity revenue calculation method includes:

[0072] S1, set the peak and valley time periods, electricity prices, and charging and discharging power of the energy storage system.

[0073] S2, collects data from the energy meter and BMS.

[0074] S3, comparing and judging whether the electric meter is working normally; if yes, executing step S4; if not, executing step S6.

[0075] Among them, judging whether the electric energy is working normally mainly determines whether at least one of the following three conditions is met: 1. The energy storage system is charging and discharging, and the reading of the electric energy meter does not change; 2. The change range of the reading of the electric energy meter is greater than the first threshold; 3. The change range of the reading of the electric energy meter is less than the second threshold. Among them, the second threshold is less than the first threshold.

[0076] S4, calculates the output power of the energy storage system by recording the difference between the old and new values ​​of the electricity meter and the current electricity price, and then calculates the profit based on the output power of the energy storage system and the electricity price in the current period.

[0077] S5, record the new value of the electric meter as the old value for next calculation.

[0078] S6, calculates the power according to the output voltage, output current and duration of the metering cycle of the energy storage system, and then calculates the profit according to the output power of the energy storage system and the electricity price in the current period.

[0079] S7, sleep for a preset time, and then return to step S2.

[0080] According to the relevant provisions of the power grid, as mentioned above Figure 3As shown in the figure, the valley section is 0:00-8:00, the flat section is 8:00-10:00, 12:00-14:00 and 9:00-24:00, the peak section is 10:00-11:00, 14:00-15:00 and 17:00-19:00, and the sharp section is 11:00-12:00,

[0081] 15:00-17:00). The EMS system can set the above-mentioned various electricity price periods and charging and discharging powers, and set the electricity prices for each electricity price period respectively, for example: the valley price is Rg, the power is 300kW; the flat period, the price is Rp, the power is 300kW; the peak period, the price is Rf, the power is 300kW; the peak period, the price is Rj, the power is 300kW. Under normal circumstances, the output power data of the energy storage system is counted by the electricity meter.

[0082] 1. When the meter is working normally, calculate the electricity consumption through the reading of the energy meter.

[0083] At the beginning of charging, the data Q1 of the electric meter is obtained and the data Q2 of the electric meter is obtained at the end of charging; at the beginning of discharging, the data Q3 of the electric meter is obtained and the data Q4 of the electric meter is obtained at the end of discharging. Substitute the electricity price of the corresponding period into the corresponding period. The profit calculation method of a short period is S = [(Q4-Q3)*Rg-(Q2-Q1)*Rf] and multiple periods can be accumulated based on this. Sx = [(Q4-Q3)

[0084] Rg-(Q2-Q1)*Rf]+....+[(Qn4-Qn3)*Rg-(Qn2-Qn1)*Ri].

[0085] 2. Calculate revenue through BMS (battery management system) information.

[0086] As mentioned above, the voltage of the energy storage battery is a fluctuating curve when observed in the long term (several hours) (see the above mentioned Figure 2 ), but it can be regarded as a fixed value in a short-term range (for example, within 3 seconds). In the short term, the battery voltage collected is V, the current is I (discharge is a positive value, charge is a negative value), the short-term time period is T, and the battery's short-term charge and discharge energy calculation method is: Q = V*I*T. If there are multiple battery modules (the number is n), add the Q values ​​of all battery modules to get the total Q value. The total charge and discharge amount of multiple battery modules in cycle T is calculated as: Q total = Q1+Q2+Q3+....+Qn. The electricity price in cycle T is R, and the total project revenue in cycle T is calculated as: S = Q total * R. Finally, by accumulating the cycle power and revenue, the long-term power and revenue calculation is realized.

[0087] 3. When at least one of the following three situations occurs, the energy meter count is judged to be abnormal, and the power consumption and revenue need to be calculated based on the collected BMS data:

[0088] (1) The EMS detection system has no faults, the system is charging and discharging normally, and the electric energy meter data has not changed for more than a few cycles. In the above case, the electric energy meter measurement value is abandoned to calculate the power and revenue, and the collected BMS data is used to calculate the power and revenue;

[0089] (2) The meter change value is too large. The system is charging and discharging normally. Collect the meter measurement values ​​(charge and discharge) before and after the cycle T, check the charge and discharge change values. If the charge or discharge is obviously too large and exceeds the maximum threshold, the meter measurement value is abandoned in this case, and the collected BMS data is used to calculate the power and revenue;

[0090] (3) The meter change value is too small. The system charges and discharges normally. The meter measurement values ​​(charge and discharge) before and after the cycle T are collected. The charge and discharge change values ​​are checked. If the charge or discharge is obviously too small and less than the minimum threshold, the meter measurement value is abandoned in this case, and the collected BMS data is used to calculate the power and revenue.

[0091] The power revenue calculation method of this embodiment, when the energy storage system's energy meter is working normally, calculates the project's power and revenue through the metered power and the price difference between peak and valley periods; when the energy meter counts abnormally, the battery management system BMS of the energy storage system is statistically analyzed, and the EMS calculates the power and revenue based on the BMS statistical data, so as to achieve long-term stable and reliable digital operation of the system. It should be noted that the BMS data plays a role in replacing the meter, and the energy storage system can also operate normally in digital form without the meter.

[0092] Example 3

[0093] This embodiment provides a device for calculating power revenue. Figure 5 is a structural block diagram of an electric power revenue calculation device according to an embodiment of the present invention, as shown in Figure 5 As shown, the electric power benefit calculation device includes:

[0094] The first calculation module 10 is used to calculate the output power of the energy storage system in the current metering cycle by adopting a corresponding calculation strategy according to the operation status of the electric energy meter of the energy storage system.

[0095] If the energy meter operates normally, the meter readings can be used to calculate the output power of the energy storage system. However, if the energy meter counts abnormally, in order to avoid missing or incorrect power data, other methods need to be used to calculate the output power. For example, the output power of the energy storage system can be calculated based on the power supply voltage, current, and duration of the energy storage system, or the output power of the energy storage system can be calculated based on the power and operating time of the electrical equipment.

[0096] As mentioned above Figure 2 As shown in , the voltage of the energy storage battery is a fluctuating curve in the long term (e.g., several hours), but can be regarded as a fixed value in the short term (e.g., within 3 seconds). Therefore, the charge and discharge energy can be calculated using a shorter time as the measurement cycle.

[0097] The determination module 20 is used to determine the electricity price according to the electricity price period of the current metering cycle; wherein the electricity price period includes a peak electricity price period, a valley electricity price period, and a flat electricity price period.

[0098] As mentioned above Figure 3 As shown, the valley section is 0:00-8:00, the flat section is 8:00-10:00, 12:00-14:00 and 9:00-24:00, the peak section is 10:00-11:00, 14:00-15:00 and 17:00-19:00, and the peak section is 11:00-12:00, 15:00-17:00). The EMS system can set the above-mentioned various electricity price periods and charging and discharging powers, and set the electricity prices for each electricity price period respectively. For example: the valley price is Rg, charging, and the power is 300kW; the flat section, the electricity price is Rp, charging, and the power is 300kW; the peak section, the electricity price is Rf, discharging, and the power is 300kW; the peak section, the electricity price is Rj, charging, and the power is 300kW.

[0099] The second operation module 30 is used to calculate the revenue of each metering cycle according to the output power of the energy storage system and the electricity price, and then count the revenues of all metering cycles to obtain the total revenue.

[0100] As mentioned above, within a short period of time (for example, within 3 seconds), the voltage of the energy storage battery can be regarded as a fixed value. Therefore, it is necessary to set a sufficiently short metering period, first calculate the output power and revenue of each metering period, and then add up the revenue of all metering periods to obtain the total revenue.

[0101] The electricity revenue calculation device of this embodiment adopts a corresponding calculation strategy to calculate the output electricity of the energy storage system in the current metering cycle according to the operation status of the energy meter of the energy storage system through the first operation module 10. When the energy meter is abnormal, the electricity is calculated by a non-electricity meter method. When the meter count is abnormal, the output electricity and revenue calculation of the energy storage system can be guaranteed to proceed normally, thereby avoiding the problem of missing or erroneous electricity and revenue data. In addition, the electricity price is determined according to the electricity price period of the current metering cycle through the determination module 20, and the revenue of each metering cycle is calculated according to the output electricity of the energy storage system in each metering cycle and the electricity price in the corresponding metering cycle through the second operation module 30. Then, the revenue of all metering cycles is counted to obtain the total revenue, which fully considers the difference in electricity prices during peak and valley periods and improves the accuracy of the calculation results.

[0102] If the electric energy meter has a counting abnormality, in order to avoid missing or wrong electric energy data, it is necessary to use other methods to calculate the output electric energy of the energy storage system. If the electric energy is counted on the electrical appliance side, the output electric energy will be technically inaccurate due to the existence of line loss. In order to ensure the accurate calculation of the output electric energy, in this embodiment, the output voltage, output current and the duration of the metering cycle are used to calculate the output electric energy of the energy storage system. Therefore, the first operation module 10 adopts a corresponding calculation strategy to calculate the output electric energy of the energy storage system in the current metering cycle according to the operation of the electric energy meter of the energy storage system, and specifically performs the following operations: determine whether the electric energy meter is abnormal; if so, calculate the output electric energy of the energy storage system according to the output voltage, output current and the duration of the metering cycle of the energy storage system. Specifically, calculate the output electric energy of the energy storage system according to the output voltage, output current and the duration of the metering cycle of the energy storage system, and implement it according to the following formula: Q=V*I*T; wherein Q is the output electric energy, V is the output voltage, I is the output current, and T is the metering cycle; if not, calculate the output electric energy of the energy storage system according to the value displayed by the electric energy meter.

[0103] If the reading of the electric energy meter changes too much or too little, or the reading does not change when the energy storage system is charging and discharging, it indicates that the electric energy meter is abnormal. Therefore, when the first operation module 10 determines whether the electric energy meter is abnormal, it specifically performs the following operations: Determine whether at least one of the following conditions is met: the energy storage system is charging and discharging, and the reading of the electric energy meter does not change; or the change amplitude of the reading of the electric energy meter is greater than the first threshold; or the change amplitude of the reading of the electric energy meter is less than the second threshold. If yes, the electric energy meter is determined to be abnormal; if not, the electric energy meter is determined to be normal. Among them, the second threshold is less than the first threshold.

[0104] Due to different metering cycles and different electricity price periods, in order to accurately calculate the revenue, the second operation module 30 calculates the revenue of each metering cycle based on the output power and the electricity price according to the following formula: S=Q*R; wherein Q is the output power, and R is the electricity price in the metering cycle, and the electricity price is different in different electricity price periods.

[0105] In order to ensure that the voltage of the energy storage battery can be regarded as unchanged during the metering period and to improve the calculation accuracy of the output power, the metering period needs to be set short enough. Therefore, the above metering period is less than the preset duration.

[0106] In order to maximize the benefits, the battery should be charged when the electricity price is low and discharged when the electricity price is high. Since the electricity price is relatively low in the valley or flat period, and relatively high in the peak or peak period, the second operation module 30 is also used to determine the charge and discharge state of the energy storage system according to the current electricity price period. Specifically, the charge and discharge state of the energy storage system is determined according to the current electricity price period, including: if the current electricity price period is the valley or flat period, the energy storage system is controlled to charge; if the current electricity price period is the peak or peak period, the energy storage system is controlled to discharge.

[0107] Example 4

[0108] This embodiment provides an energy storage system, including the above-mentioned power benefit calculation device, which is used to solve the problem that when the meter counts abnormally, the output power and benefit calculation of the energy storage system cannot be performed normally, resulting in missing power and benefit data or data errors.

[0109] Example 5

[0110] This embodiment provides a computer-readable storage medium having a computer program stored thereon, and the program implements the above-mentioned power yield method when executed by a processor.

[0111] Example 6

[0112] This embodiment provides an electronic device, including:

[0113] one or more processors;

[0114] A storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned power benefit method.

[0115] Figure 6 FIG. 1 is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Figure 6 As shown, the electronic device includes:

[0116] One or more processors 610 and memory 620, Figure 6 A processor 610 is taken as an example.

[0117] The device for the method for calculating the electric power benefit may further include: an input device 630 and an output device 640 .

[0118] The processor 610, the memory 620, the input device 630 and the output device 640 may be connected via a bus or other means. Figure 6 The example of connecting through bus is taken in the following.

[0119] The memory 620 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the power benefit calculation method in the embodiment of the present invention. The processor 610 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 620, that is, implementing the above method embodiment.

[0120] The memory 620 may include a program storage area and a data storage area, wherein the program storage area may store an application required for operating the device and at least one function; the data storage area may store data created according to the use of the power benefit calculation device, etc. In addition, the memory 620 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0121] The input device 630 can receive input digital or character information and generate key signal input related to user settings and function control of the electronic device. The output device 640 can include a display device such as a display screen.

[0122] The one or more modules are stored in the memory 620, and when executed by the one or more processors 610, the power benefit calculation method in any of the above method embodiments is executed.

[0123] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0124] The electronic devices of the embodiments of the present invention exist in various forms, including but not limited to:

[0125] (1) Mobile communication devices: These devices are characterized by their mobile communication functions and their main purpose is to provide voice and data communications. These terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.

[0126] (2) Ultra-mobile personal computer devices: These devices fall into the category of personal computers, have computing and processing capabilities, and generally also have mobile Internet access features. These terminals include: PDA, MID and UMPC devices, such as iPad.

[0127] (3) Portable entertainment devices: These devices can display and play multimedia content. They include audio and video players (such as iPods), handheld game consoles, e-books, as well as smart toys and portable car navigation devices.

[0128] (4) Server: A device that provides computing services. The server consists of a processor, hard disk, memory, device bus, etc. The server is similar to a general computer architecture, but because it needs to provide highly reliable services, it has higher requirements in terms of processing power, stability, reliability, security, scalability, and manageability.

[0129] (5) Other electronic devices with data interaction functions, such as televisions, large-screen cars, etc.

[0130] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0131] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for calculating electric power revenue, applied to an energy storage system, characterized in that: The method comprises: According to the operation status of the electric energy meter of the energy storage system, a corresponding calculation strategy is adopted to calculate the output power of the energy storage system in the current metering cycle; The electricity price is determined according to the electricity price period of the current metering cycle; wherein the electricity price period includes the peak period, the peak period, the valley period and the flat period; The revenue of each metering period is calculated based on the output power in each metering period and the corresponding electricity price in the metering period, and then the revenue of all metering periods is counted to obtain the total revenue.

2. The method according to claim 1, characterized in that According to the operation status of the electric energy meter of the energy storage system, a corresponding calculation strategy is adopted to calculate the output power of the energy storage system in the current metering cycle, including: Determining whether the electric energy meter is abnormal; If yes, then calculating the output power of the energy storage system according to the output voltage, output current and duration of the metering cycle of the energy storage system; If not, the output power of the energy storage system is calculated according to the value displayed by the electric energy meter.

3. The method according to claim 2, characterized in that Determining whether the electric energy meter is abnormal includes: Determine whether at least one of the following conditions is met: The energy storage system is charging and discharging, and the reading of the electric energy meter does not change; Alternatively, the change in the reading of the electric energy meter is greater than a first threshold; Alternatively, the change amplitude of the reading of the electric energy meter is less than a second threshold value; If yes, it is determined that the electric energy meter is abnormal; If not, it is determined that the electric energy meter is normal.

4. The method according to claim 2, characterized in that: The output power of the energy storage system is calculated according to the output voltage, output current and duration of the metering cycle of the energy storage system, and is implemented according to the following formula: Q = V * I * T; Wherein, Q is the output power, V is the output voltage, I is the output current, and T is the metering period.

5. The method according to claim 1, characterized in that: The revenue of each metering period is calculated based on the output power in each metering period and the corresponding electricity price in the metering period, which is implemented according to the following formula: S = Q * R; Wherein, Q is the output power, and R is the electricity price during the measurement period.

6. The method according to claim 1, characterized in that The metering period is shorter than a preset duration.

7. The method according to claim 1, characterized in that The method further comprises: The charging and discharging status of the energy storage system is determined according to the current electricity price period.

8. The method according to claim 7, characterized in that Determine the charging and discharging status of the energy storage system according to the current electricity price period, including: If the current electricity price period is a valley period or a flat period, controlling the energy storage system to charge; If the current electricity price period is a peak electricity price period or a peak electricity price period, the energy storage system is controlled to discharge.

9. An electric power revenue calculation device, characterized in that: The device comprises: A first calculation module is used to calculate the output power of the energy storage system in the current metering cycle by adopting a corresponding calculation strategy according to the operation status of the electric energy meter of the energy storage system; A determination module is used to determine the electricity price according to the electricity price period of the current metering cycle; wherein the electricity price period includes a peak electricity price period, a valley electricity price period, and a flat electricity price period; The second operation module is used to calculate the revenue of each metering period according to the output power in each metering period and the electricity price in the corresponding metering period, and then count the revenues of all metering periods to obtain the total revenue.

10. An energy storage system, characterized in that: Including the electric power benefit calculation device as described in claim 9.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

12. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to implement the method according to any one of claims 1 to 8.

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