Energy storage income updating system and method

Abstract

The invention provides an energy storage income updating system and method, and relates to an energy storage technology. The system comprises an abnormity detection module which is used for carrying out integrity verification on electric quantity data, stored in a time sequence database, of a first target date before a current date at a preset time of the current date; wherein when the time sequence database contains the electric quantity data of the first target date at all target time points, indicating that the integrity verification is passed; the target time point is related to a preset electric quantity storage period; the revenue recalculation module is used for acquiring supplementary transmission electric quantity data of the target energy storage equipment when the integrity verification of any first target date is not passed; and the revenue of the first target date is updated according to the supplementary transmission electric quantity data and the corresponding electricity price. The method is used for improving the income accuracy of the energy storage station.

Description

Technical Field

[0001] The present application relates to energy storage technology, and more particularly to an energy storage revenue updating system and method. Background Art

[0002] Energy storage stations refer to large facilities or systems used to store electrical energy. They play an increasingly important role in modern power systems, promoting energy structure transformation and sustainable development. Energy storage stations are mainly set up to balance power supply and demand, support the stable access of renewable energy, improve the stability and reliability of the power grid, and optimize the operating efficiency of the power system.

[0003] At present, various places implement time-of-use electricity prices, that is, different time periods may correspond to different discharge and charging electricity prices. On this basis, in the known technology, when calculating the real-time income of the energy storage station every other electricity storage cycle, it mainly involves two parts of calculation, namely the charging cost and the discharge income. Specifically, the charging cost and the discharge income are determined according to the electricity data at the target time point, and then the real-time income at the target time point is obtained by calculating the difference between the discharge income and the charging cost. Among them, the target time point is the time point when the electricity storage cycle ends. It is understandable that due to network fluctuations and other factors, the energy storage device may not be able to report the electricity data at the target time point corresponding to the electricity storage cycle. At this time, the real-time income will be calculated based on the latest electricity data reported in the current electricity storage cycle.

[0004] When calculating the real-time revenue through the above process, if the electricity storage period for which the electricity data at the target time point is not received and the next adjacent electricity storage period have different electricity prices, the final revenue calculation of the energy storage station will be inaccurate. Summary of the invention

[0005] The present application provides an energy storage revenue updating system and method for improving the accuracy of energy storage station revenue.

[0006] In a first aspect, the present application provides an energy storage revenue updating system, the system comprising:

[0007] A time series database, used to obtain and store power data reported by at least one energy storage device according to a preset reporting frequency;

[0008] An electricity price storage module, used to obtain time-of-use electricity price information of at least one destination, wherein the time-of-use electricity price information is used to indicate the electricity price corresponding to the destination in each electricity price storage period;

[0009] an abnormality detection module, configured to perform integrity check on the power data of a first target date before the current date stored in the time series database at a preset time of the current date; wherein, when the time series database contains power data of the first target date at all target time points, it indicates that the integrity check has passed; and the target time points are related to a preset power storage period;

[0010] The revenue recalculation module is used to obtain the supplementary power data of the target energy storage device when the integrity check of any first target date fails; and is also used to update the revenue of the first target date according to the supplementary power data and the corresponding electricity price.

[0011] In another possible implementation, the first target date is a date corresponding to three days before the current date; and the revenue recalculation module is further configured to:

[0012] When all the supplementary power data of any first target date are obtained, the revenue of the first target date is updated according to the electricity price corresponding to the supplementary power data, and a first error prompt message is fed back, the flag bit of the first target date is set from the first value to the second value;

[0013] The anomaly detection module is specifically used for:

[0014] At a preset time on the current date, obtaining a flag bit of a first target date before the current date, and when the flag bit is the first value, performing integrity check on the power data of the first target date before the current date stored in the time series database;

[0015] When the flag bit is the second value, the electricity data on the first target date is fed back to the revenue recalculation module to show that it passes the integrity check.

[0016] In another possible implementation, the anomaly detection module is further used to:

[0017] When the time series database does not contain electricity data for the first target date at all target time points, and two electricity storage periods adjacent to the missing time points correspond to different electricity prices, it is determined that the integrity check of the first target date fails.

[0018] In another possible implementation, the system further includes a data reporting module, which is connected to the plurality of energy storage devices and is used to receive the power data reported by the plurality of energy storage devices according to a preset reporting frequency, and send the power data to the time series database;

[0019] The data reporting module is connected to the anomaly detection module, and is used to receive the data retransmission instruction sent by the anomaly detection module, and respond to the data retransmission instruction to retransmit the missing power data to the time series database; the data retransmission instruction is sent to the data reporting module by the anomaly detection module when the integrity check of the first target date fails.

[0020] In another possible implementation, the missing power data is obtained in any of the following ways: obtained from a local cache of the target energy storage device, determined according to historical power usage of the target energy storage device, or obtained from a user terminal.

[0021] In another possible implementation, the system further includes a cache database and a real-time revenue calculation module;

[0022] The cache database is connected to the data reporting module, and is used to obtain the power data, and store the latest power data received in each power storage period;

[0023] The real-time profit calculation module is connected to the cache database and the electricity price storage module, and is used to calculate the real-time profit based on the latest electricity data of the electricity storage cycle, the latest electricity data of the previous electricity storage cycle, and the electricity price corresponding to the electricity price storage period to which the electricity storage cycle belongs.

[0024] In another possible implementation, the electricity price storage module is specifically used for:

[0025] Before each target duration ends, the time-of-use electricity price information corresponding to the next target duration is obtained and stored; the target duration is related to the electricity price publishing rule of the destination; the electricity price storage period is not less than the electricity storage cycle.

[0026] In another possible implementation, the abnormality detection module is further connected to the electricity price storage module; the abnormality detection module is specifically used for:

[0027] When the time-of-use electricity price information corresponding to the next target duration is consistent with the time-of-use electricity price information corresponding to the historical target duration, a first alarm information is fed back; the first alarm information is used to indicate that the time-of-use electricity price information needs to be manually reviewed;

[0028] If the time-of-use electricity price information corresponding to the next target duration is not obtained within a preset time before the end of the target duration, a second alarm message is fed back; the second alarm message is used to indicate that the time-of-use electricity price information of the destination is obtained manually.

[0029] In another possible implementation, the abnormality detection module is further connected to the electricity price storage module; the abnormality detection module is specifically used for:

[0030] When a user instruction is obtained, the revised time-of-use electricity price information corresponding to the second target date is sent to the electricity price storage module, and a recalculation instruction is sent to the revenue recalculation module; the user instruction is used to indicate that the time-of-use electricity price information of the second target date is wrong;

[0031] The profit recalculation module is also used to update the real-time profit of the second target date and feedback a second error prompt message based on the revised time-of-use electricity price information and the electricity data corresponding to the second target date stored in the time series database when receiving the recalculation instruction; the second error prompt message is used to indicate the error profit corresponding to the real-time profit of the second target date.

[0032] In a second aspect, the present application provides a method for updating energy storage revenue, which is applied to the system described in any one of the first aspects; the method comprises:

[0033] Acquire and store the power data reported by at least one energy storage device according to a preset reporting frequency, and the time-of-use electricity price information of at least one destination; the time-of-use electricity price information is used to indicate the electricity price of the destination in each electricity price storage period;

[0034] At a preset time on the current date, an integrity check is performed on the stored power data of a first target date before the current date; wherein, when the power data of the first target date includes the power data of all target time points, it is indicated that the integrity check has passed; the target time point is related to a preset power storage period;

[0035] When the integrity check of any first target date fails, the supplementary power data of the target energy storage device is obtained, and the revenue of the first target date is updated according to the supplementary power data and the corresponding electricity price.

[0036] In a third aspect, the present application provides an energy storage benefit calculation device, the device comprising:

[0037] An acquisition module, used to acquire and store the power data reported by at least one energy storage device according to a preset reporting frequency, and the time-of-use electricity price information of at least one destination; the time-of-use electricity price information is used to indicate the electricity price of the destination in each electricity price storage period;

[0038] A verification module, configured to perform integrity verification on the stored power data of a first target date before the current date at a preset time of the current date; wherein, when the power data of the first target date includes power data of all target time points, indicating that the integrity verification has passed; the target time point is related to a preset power storage period;

[0039] The updating module is used to obtain the supplementary power data of the target energy storage device when the integrity check of any first target date fails, and update the income of the first target date according to the supplementary power data and the corresponding electricity price.

[0040] In a fourth aspect, the present application provides an electronic device, comprising: at least one processor and a memory;

[0041] The memory stores computer-executable instructions;

[0042] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method described in the second aspect above.

[0043] In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a central processing unit, they are used to implement the method described in the second aspect above.

[0044] In a sixth aspect, the present application provides a computer program product, including a computer program, which implements the method described in the second aspect when executed by a central processing unit.

[0045] The present application provides a system and method for updating energy storage revenue, wherein the time series database, electricity price storage module, anomaly detection module and revenue recalculation module of the present application. Specifically, the anomaly detection module can perform integrity check on the electricity data of the first target date before the current date stored in the time series database at a preset time of the current date, and when the first target date does not contain the electricity data of all target time points, determine that the electricity data of the first target date has not passed the integrity check. The revenue recalculation module is connected to the anomaly detection module, and when the electricity data of the first target date has not passed the integrity check, the supplementary electricity data of the target energy storage device is obtained, and the revenue of the first target date is updated according to the supplementary electricity data. Through the system of the present application, when the data of the target time point is confirmed on the first target date, the revenue of the first target date can be updated in time according to the corresponding supplementary electricity data and the corresponding electricity price, so as to realize real-time revenue calculation while ensuring the calculation accuracy of the revenue of the energy storage site. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0047] Figure 1 A schematic diagram of an application scenario of an energy storage revenue update system provided in an embodiment of the present application;

[0048] Figure 2 A schematic diagram of a system for updating energy storage revenue provided in an embodiment of the present application Figure 1 ;

[0049] Figure 3 A schematic diagram of a system for updating energy storage revenue provided in an embodiment of the present application Figure 2 ;

[0050] Figure 4 A schematic diagram of a system for updating energy storage revenue provided in an embodiment of the present application Figure 3 ;

[0051] Figure 5 A schematic diagram of a flow chart of a method for updating energy storage revenue provided in an embodiment of the present application;

[0052] Figure 6 A schematic diagram of the structure of an energy storage benefit calculation device provided in an embodiment of the present application;

[0053] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0054] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0055] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0056] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0057] As a vital component of the modern power system, energy storage stations are large-scale comprehensive facilities or complex systems specifically used to store electrical energy. At a time when the global energy landscape is undergoing profound adjustments and sustainable development is highly valued, their importance has become increasingly prominent, and they have become a key force in promoting the transformation of the energy structure and moving towards sustainable development. Specifically, the setting of energy storage stations is mainly to balance electricity supply and demand, support the stable access of renewable energy, improve the stability and reliability of the power grid, and optimize the operating efficiency of the power system.

[0058] The current revenue of energy storage stations (referring to the peak-valley arbitrage revenue formed by charging and discharging) mainly involves two parts of calculation, namely charging cost and discharging revenue. Specifically, the overall revenue of energy storage stations = discharge revenue (discharge amount * discharge electricity price) - charging cost (charge amount * charging electricity price). It is understandable that when the electricity price is fixed and the charge and discharge amount of energy storage equipment is fixed at one time, the revenue of energy storage stations is very convenient to calculate.

[0059] However, currently, all regions implement time-of-use electricity prices, that is, different time periods may correspond to different discharge and charging prices. On this basis, in the known technology, when calculating the real-time revenue of the energy storage station every other power storage cycle, if the energy storage equipment is affected by network fluctuations, etc., and the power storage cycle and the next adjacent power storage cycle correspond to different electricity prices, it will lead to inaccurate calculation of the energy storage station revenue. Among them, the electricity price within the power storage cycle remains unchanged.

[0060] For example, if the time-of-use electricity price in a certain place is: 0.3 yuan / kWh from 0:00 to 7:00, 0.5 yuan / kWh from 7:01 to 11:30, 0.8 yuan / kWh from 11:31 to 14:00, 0.5 yuan / kWh from 14:01 to 17:30, 0.5 yuan / kWh from 17:31 to 21:30, 0.8 yuan / kWh from 21:31 to 23:59, then 0:00-7:00, 7:01-11:30, 11:31-14:00, 14:01-17:30, 17:31-21:30, and 21:31-23:59 are respectively an electricity storage cycle. In the known technology, electricity data of the energy storage station at six target time points of 7:00, 11:30, 14:00, 17:30, 21:30, and 23:59 are obtained, and the real-time profit of the target time point is calculated by combining the electricity data at each target time point and the electricity price of the corresponding preset time period.

[0061] On this basis, if the energy storage station is unable to timely report the electricity data at the target time point 11:30 due to factors such as network fluctuations or power outages, the known technology uses the electricity data of the last reported electricity data (such as 11:29) in the electricity storage cycle as the electricity data at the target time point of the electricity storage cycle, and calculates the real-time revenue at the target time point corresponding to the electricity storage cycle in combination with the electricity price of the electricity storage cycle. It can be understood that the real-time revenue is not the real-time revenue at the target time point corresponding to the electricity storage cycle. In addition, since the electricity price of the next electricity storage cycle 11:31-14:00 is inconsistent with that of the electricity storage cycle, the revenue from 11:29-11:30 will be calculated according to the electricity price of the electricity storage cycle 11:31-14:00, which will lead to inaccurate revenue calculation of the energy storage station.

[0062] Therefore, the present application provides an energy storage revenue update system and method to solve the above-mentioned problems. Specifically, the energy storage revenue update system of the present application can periodically detect the data integrity of the first target date before the current date by setting an abnormality detection module to determine whether the electricity data of all target time points of the first target date are stored in the time series database. On this basis, the system of the present application is also provided with a revenue recalculation module, which is used to update the revenue of the energy storage station on the first target date according to the supplementary electricity data and the corresponding electricity price when the abnormality detection module feeds back the electricity data of all target time points of the first target date that is not included in the time series database, so as to ensure the accuracy of the revenue calculation.

[0063] Figure 1 A schematic diagram of an application scenario of an energy storage revenue update system provided in an embodiment of the present application, such as Figure 1As shown, the energy storage revenue update system of the present application can be applied to any energy storage station revenue calculation scenario. Figure 1 As shown, the energy storage revenue update system can be deployed on a cloud platform, and the cloud platform is connected to x energy storage stations, each of which includes multiple energy storage devices, such as m, n, and l. It can be understood that x, m, n, and l are all positive integers. Among them, each energy storage device uploads the daily power data to the energy storage revenue update system of the cloud platform. The energy storage revenue update system calculates the real-time revenue and final revenue of the energy storage station based on the power data of the energy storage devices contained in each energy storage station, and feeds back to each energy storage station. More specifically, the real-time revenue can include the total real-time revenue of the corresponding energy storage station, and the sub-real-time revenue of each energy storage device in the corresponding energy storage station. Similarly, the final revenue can also include the total final revenue of the corresponding energy storage station, and the sub-final revenue of each energy storage device in the corresponding energy storage station.

[0064] Alternatively, if Figure 1 As shown, the platform can also be connected to a user terminal to transmit the real-time income and final income of each energy storage station to the user terminal, which is not limited in this application.

[0065] It is understandable that, in actual applications, the energy storage revenue update system of the present application may also be configured in the local server of each energy storage site, and this is not limited in the present application.

[0066] In the following, some embodiments of the present application are described in detail in conjunction with the accompanying drawings. In the case where the embodiments do not conflict with each other, the following embodiments and features in the embodiments can be combined with each other.

[0067] The present application provides an embodiment of an energy storage revenue updating system. Figure 2 A schematic diagram of a system for updating energy storage revenue provided in an embodiment of the present application Figure 1 ,like Figure 2 As shown, the system provided in this embodiment includes a time series database, an electricity price storage module, an abnormality detection module and a revenue recalculation module. Figure 2 , and explain the components of the system in detail.

[0068] like Figure 2 As shown, the time series database is connected to at least one energy storage device and is used to obtain and store power data reported by at least one energy storage device according to a preset reporting frequency.

[0069] Specifically, when the energy storage revenue update system is used to calculate the revenue of multiple energy storage sites, the time series database is connected to the y energy storage devices included in the multiple energy storage sites. In this embodiment, each energy storage device reports the power data according to the preset reporting frequency, and the time series database receives and stores the power data in time series.

[0070] More specifically, the preset reporting frequency is configured by the user, and may be once every thirty seconds, or once every minute, which is not limited in this embodiment.

[0071] like Figure 2 As shown, in this embodiment, the electricity price storage module is connected to a third-party website to obtain time-of-use electricity price information of at least one destination, and the time-of-use electricity price information is used to indicate the electricity price corresponding to the destination in each electricity price storage period.

[0072] Specifically, the third-party website contains time-of-use electricity price information of at least one destination. The electricity price storage module periodically obtains the time-of-use electricity price information of at least one destination from the third-party website according to the electricity price distribution law. It can be understood that the time-of-use electricity price information published by the third-party website may be in the form of pictures or documents. The electricity price storage module can parse the time-of-use electricity price information provided by the third-party website according to the corresponding parsing logic, which is not limited in this embodiment. In addition, it can be understood that the electricity price storage module triggers the task of regularly obtaining the time-of-use electricity price information before the next update cycle of the time-of-use electricity price information arrives.

[0073] In the above process, the third-party website can specifically summarize the time-of-use electricity price information of at least one destination. Based on this, the electricity price storage module can obtain the time-of-use electricity price information of at least one destination by accessing a single third-party website.

[0074] Optionally, in actual applications, the electricity price storage module can also obtain the electricity price time-sharing information of the next update cycle from the official website of at least one destination through a timed reminder, and input the electricity price time-sharing information into the electricity price storage module. Alternatively, the electricity price storage module can also be configured to directly crawl from the official website webpage of at least one destination time-sharing electricity price release, which is not limited in this embodiment.

[0075] In this embodiment, the electricity price storage module is also used to store the acquired time-of-use electricity price information of at least one destination. It is understandable that in actual applications, when the electricity price storage module acquires the time-of-use electricity price information of at least one destination, it can also store the time-of-use electricity price information of at least one destination in a database different from the electricity price storage module, and this embodiment does not limit this.

[0076] like Figure 2 As shown, the abnormality detection module is connected to the time series database, and is used to perform integrity verification on the electricity data of the first target date before the current date stored in the time series database at a preset time of the current date.

[0077] When the time series database contains the electricity data at all target time points on the first target date, it indicates that the integrity check has passed; the target time points are related to the preset electricity storage period.

[0078] In this embodiment, the abnormality detection module triggers the task of integrity check of the power data of the first target date before the current date at the preset time every day. Specifically, the preset time is any time between 0:00-4:00 or 23:00-23:59 every day to avoid busy periods. In actual applications, the preset time can also be any other time within the current date, which is not limited in this embodiment.

[0079] It should be understood that the target time points included in the first target date specifically refer to the end time of each power storage cycle, and the electricity price remains unchanged during the power storage cycle. For example, if the power storage cycle is half an hour, the target time points specifically refer to 00:30, 01:00, 01:30, etc. At this time, the first target date should include 48 target time points. It is understandable that different power storage cycles may correspond to the same electricity price.

[0080] In this embodiment, the abnormality detection module detects whether the time series database stores the power data for each target time point included in the first target date. If the time series database lacks the power data of any energy storage device at any target time point, it is determined that the integrity check of the first target date fails.

[0081] like Figure 2 As shown, the revenue recalculation module is connected to the time series database, the electricity price storage module and the anomaly detection module, and is used to obtain the supplementary power data of the target energy storage device when the integrity check of any first target date fails; it is also used to update the revenue of the first target date according to the supplementary power data and the corresponding electricity price.

[0082] In this embodiment, when the abnormality detection module sends information that the integrity check of the first target date fails to pass to the revenue recalculation module, it simultaneously sends a data upload instruction to the corresponding energy storage device, so that the corresponding energy storage device re-uploads the supplementary power data to the time series database, and the time series database stores the supplementary power data uploaded by the corresponding energy storage device.

[0083] On this basis, the revenue recalculation module obtains the supplementary power data from the time series database, and updates the revenue of the first target date according to the supplementary power data and the corresponding electricity price. Specifically, the revenue recalculation module determines the error revenue according to the supplementary power data and the electricity price of the corresponding power storage period indicated by the electricity price storage module, as well as the electricity price of the next power storage period of the power storage period. Further, the revenue of the first target date is updated according to the error revenue.

[0084] For example, if the abnormality detection module detects that the power data of a certain energy storage device A at the target time point 07:00 on October 13 is missing in the time series database, the abnormality detection module sends a data retransmission instruction to the energy storage device A, so that the energy storage device A retransmits the power data at 07:00 to the time series database. The revenue recalculation module obtains the power data at 07:00 retransmitted by the energy storage device A from the time series database, and obtains the electricity price corresponding to the power storage period (06:31-07:00) where 07:00 is located from the electricity price storage module, as well as the electricity price of the next power storage period (07:01-07:30) of the power storage period.

[0085] Furthermore, the revenue recalculation module calculates the error electricity price based on the electricity data at 07:00 transmitted by the energy storage device A and the electricity prices of the two electricity storage periods of 06:31-07:00 and 07:01-07:30, and updates the revenue of 10.13 based on the error electricity price. It can be understood that if the electricity prices of the two electricity storage periods of 06:31-07:00 and 07:01-07:30 are the same, then based on the electricity data at 07:00 transmitted by the energy storage device A, the error electricity price finally determined is zero.

[0086] It is understandable that the anomaly detection module may detect that the electricity data of multiple energy storage devices at multiple target time points on the first target date are missing in the time series database. At this time, the revenue recalculation module calculates the error electricity price corresponding to each target time point respectively, and updates the revenue of the first target date based on the multiple error electricity prices.

[0087] Optionally, in actual applications, the data retransmission instruction can also be sent by the revenue recalculation module to the corresponding energy storage device, which is not limited in this embodiment. Specifically, when the abnormality detection module determines that the power data of the first target date in the time series database has not passed the integrity check, the energy storage device with missing power data and the target time point are sent to the revenue recalculation module, and the revenue recalculation module sends the data retransmission instruction to the corresponding energy storage device according to the energy storage device and target time point transmitted by the abnormality detection module.

[0088] The energy storage revenue update system provided in this embodiment can periodically perform integrity check on the electricity data of the first target date stored in the time series database at a preset time every day by setting an abnormal detection module to determine whether there is an abnormal risk in the revenue collection of the first target date. By setting a revenue recalculation module, when the abnormal detection module indicates that there is an abnormal risk in the revenue of the first target date, the supplementary transmission electricity data of the target energy storage device causing the abnormal risk can be obtained, and the revenue of the first target date can be updated according to the supplementary transmission electricity data and the corresponding electricity price.

[0089] The energy storage revenue update system of this embodiment can, on the one hand, meet the current requirements of energy storage sites for real-time revenue calculation, and on the other hand, can regularly calculate the daily revenue situation and update the corresponding revenue when there is an abnormal risk, thereby ensuring the accuracy of revenue calculation.

[0090] It is understandable that the energy storage device may not be able to upload the supplementary power data to the time series database in time when receiving the data supplementary transmission instruction. Therefore, as a preferred example, the first target date can be the date corresponding to three days before the current date. Based on this, the daily power data is checked for integrity three times to avoid the problem that the energy storage device cannot upload the supplementary power data in time, resulting in inaccurate revenue after recalculation.

[0091] For example, if the current date is October 15, the first target date includes October 14, October 13, and October 12, and the anomaly detection module is specifically used to detect the integrity of the power data on October 14, October 13, and October 12. In actual applications, the first target date can also be a date corresponding to two days or four days before the current date, which is not limited in this embodiment.

[0092] On this basis, the revenue recalculation module is also used to: when all the supplementary electricity data for any first target date are obtained, the revenue of the first target date is updated according to the electricity price corresponding to the supplementary electricity data, and the first error prompt information is fed back, the flag of the first target date is set from the first value to the second value.

[0093] Specifically, the first error prompt information is used to indicate that the real-time revenue of the target energy storage device at the target time point is abnormal. In this embodiment, in addition to updating the revenue of the first target date, the revenue recalculation module also feeds back the first error prompt information to inform the user, and at the same time facilitates the update of the real-time revenue to ensure the accuracy of the real-time revenue of the warehouse. It can be understood that the accuracy of the real-time revenue facilitates the analysis of the charging and discharging behavior of the energy storage station.

[0094] In this embodiment, the energy storage revenue update system maintains a flag bit for each date, and when the revenue recalculation module completes the above task, the flag bit corresponding to the first target date is set from the first value to the second value. It should be understood that the flag bit is the first value for indicating that the power data of the first target date in the time series database has not passed the integrity check, and the flag bit is the second value for indicating that the power data of the first target date in the time series database has passed the integrity check.

[0095] On this basis, the anomaly detection module is specifically used to: obtain the flag bit of the first target date before the current date at the preset time of the current date, and when the flag bit is a first value, perform integrity check on the electricity data of the first target date before the current date stored in the time series database; when the flag bit is a second value, feedback the electricity data of the first target date that passes the integrity check to the revenue recalculation module.

[0096] Through the above settings, when the anomaly detection module performs integrity check on the power data of the previous three days stored in the time series database at the preset time every day, it can directly determine whether the corresponding first target date passes the integrity check by accessing the flag bit of the corresponding first target date, without having to re-search the power data of each target time point in the time series database, thereby effectively saving the efficiency of anomaly detection.

[0097] It is understandable that if the electricity storage period to which a target time point belongs is consistent with the electricity price of the next electricity storage period, the error electricity price at the target time point is zero. In other words, the missing electricity data at the target time point will not affect the final revenue of the first target date.

[0098] Therefore, as another preferred example, the anomaly detection module is also used to determine that the integrity check of the first target date fails when the time series database does not contain the electricity data of the first target date at all target time points, and the two electricity storage periods adjacent to the missing time points correspond to different electricity prices.

[0099] Through this setting, when two adjacent electricity storage periods at the missing time point correspond to the same electricity price, that is, when the revenue of the first target date is not affected, there is no need for the revenue recalculation module to recalculate, thereby avoiding waste of resources.

[0100] The present application also provides an embodiment of an energy storage revenue updating system. Figure 3 A schematic diagram of a system for updating energy storage revenue provided in an embodiment of the present application Figure 2 , the following combination Figure 3 The energy storage revenue updating system of this embodiment is described in detail.

[0101] like Figure 3 As shown, the energy storage revenue update system of this embodiment includes a data reporting module in addition to the above parts. Specifically, the data reporting module is connected to y energy storage devices, and is used to receive the power data reported by y energy storage devices according to a preset reporting frequency, and send the power data to the time series database.

[0102] Specifically, in this embodiment, the preset reporting frequency is equal to or lower than the electricity price storage period in which the electricity price storage module stores the electricity price. When the data reporting module reports the power data to the time series database, it carries the device identification and timestamp so that the time series database stores the power data of different energy storage devices in time series. In this embodiment, the power data includes the cumulative charge amount and the cumulative discharge amount.

[0103] In addition, in this embodiment, the data retransmission instruction is issued by the abnormality detection module when the integrity check of the first target date fails. Specifically, the data reporting module is connected to the abnormality detection module, and is used to receive the data retransmission instruction sent by the abnormality detection module, and respond to the data retransmission instruction to retransmit the missing power data to the time series database.

[0104] It is understandable that each piece of data reported by the data reporting module should be stored in the time series database. From the foregoing, it can be seen that due to network fluctuations or power outages, the energy storage device will be unable to report the power data at a certain target time point. For different factors that cause data loss, it is necessary to obtain the missing power data in different ways. In this embodiment, the missing power data is obtained by any of the following methods: obtaining from the local cache of the target energy storage device, determining based on the historical power consumption of the target energy storage device, and obtaining from the user terminal.

[0105] Through this setting, when the data reporting module responds to the data retransmission instruction to instruct the target energy storage device to retransmit the missing power data, the target energy storage device can first obtain the missing power data from the local cache. If the missing power data does not exist in the local cache, the data reporting module will not be able to obtain the missing power data. At this time, the data reporting module can predict the power data of the target energy storage device at the target time point based on the historical power consumption of the target energy storage device, and report the power data as the missing power data to the time series database. Alternatively, the data reporting module can send a data retransmission instruction to the user terminal, and the missing power data is reported manually based on experience.

[0106] Based on the above embodiments, the present application also provides an embodiment of an energy storage revenue updating system. Figure 4 A schematic diagram of a system for updating energy storage revenue provided in an embodiment of the present application Figure 3 , the following combination Figure 4 The energy storage revenue updating system of this embodiment is described in detail.

[0107] like Figure 4As shown, in addition to the above parts, the energy storage revenue update system also includes a cache database and a real-time revenue calculation module. The cache database is connected to the data reporting module, and is used to obtain the power data, and store the latest power data received in each power storage cycle; the real-time revenue calculation module is connected to the cache database and the electricity price storage module, and is used to calculate the real-time revenue based on the latest power data of the power storage cycle, the latest power data of the previous power storage cycle, and the electricity price corresponding to the electricity price storage period to which the power storage cycle belongs.

[0108] In this embodiment, the cache database stores the power data according to the preset power storage cycle. Specifically, the data reporting module reports the power data to the cache database according to the preset reporting frequency, and the cache database uses the latest power data reported by the data reporting module received in each power storage cycle as the power data corresponding to the power storage cycle according to the power data reported by the data reporting module.

[0109] More specifically, the power storage period is greater than or equal to the preset reporting frequency and less than or equal to the electricity price storage period. That is, if the preset reporting frequency is 1 minute, the power storage period may be 30 minutes and the electricity price storage period may be 30 minutes.

[0110] On this basis, if the data reporting module reports one piece of power data at 2024-11-06-15:58, 2024-11-06-15:59, and 2024-11-06-16:02 (current time), the cache database will use the power data corresponding to 2024-11-06-15:59 as the power data corresponding to the power storage period of 15:31-16:00. If no updated power data is received between 16:01 and 16:30, the power data of 2024-11-06-16:02 will be used as the power data corresponding to the power storage period of 16:01-16:30, and used for subsequent difference calculation of the real-time revenue of the power storage period of 16:01-16:30.

[0111] In this embodiment, the real-time profit calculation module obtains the latest electricity data of the current electricity storage cycle and the latest electricity data of the previous electricity storage cycle from the cache database at the target time point corresponding to the current electricity storage cycle, and obtains the electricity price corresponding to the electricity price storage period to which the current electricity storage cycle belongs from the electricity price storage module, so as to calculate the real-time profit of the current electricity storage cycle.

[0112] Specifically, if the power storage cycle is Δt_save, Echarge_previous is the latest cumulative charging data in the previous Δt_save, Edischarge_previous is the latest cumulative discharge data in the previous Δt_save, Echarge_current is the latest cumulative charging data in the current Δt_save, Edischarge_current is the latest cumulative discharge data in the current Δt_save, Qcharge is the charge amount in the current Δt_save, Qdischarge is the discharge amount in the current Δt_save, and the electricity price of the current Δt_save is P, then the real-time profit calculation module calculates the real-time profit R of the current Δt_save by the following formula:

[0113] R=(Qdischarge*P)-(Qcharge*P)

[0114] Qdischarge=Edischarge_current-Edischarge_previous

[0115] Qcharge=Echarge_current-Echarge_current

[0116] It can be understood that in this embodiment, the energy storage revenue update system can realize real-time calculation, and can set the corresponding power storage period according to demand, so as to realize real-time calculation of demand at a smaller granularity.

[0117] like Figure 4 As shown, in this embodiment, the energy storage revenue update system also includes a revenue database, which is connected to the real-time revenue calculation module and the revenue recalculation module, and is used to store the real-time revenue and the calculated revenue. Specifically, the revenue database specifically stores the real-time revenue and the corresponding target time point of each power storage cycle, as well as the final revenue of each day.

[0118] It is understandable that, for each energy storage station, the real-time revenue calculation module can calculate the real-time revenue of each energy storage device separately, and by summing the real-time revenues of multiple energy storage devices, the total real-time revenue of the entire energy storage station at a certain target time point can be obtained.

[0119] Optionally, on this basis, the revenue database may store real-time revenue according to specific business needs, such as storing the real-time revenue of each energy storage device, or storing the real-time revenue of the entire energy storage site.

[0120] like Figure 4As shown, in this embodiment, the abnormality detection module is also connected to the electricity price storage module, and in this embodiment, the electricity price storage module is specifically used to: before the end of each target duration, obtain and store the time-of-use electricity price information corresponding to the next target duration; the target duration is related to the electricity price release rule of the destination; the electricity price storage period is not less than the electricity storage period.

[0121] Specifically, the target duration is the cycle for updating electricity prices at each destination. The electricity price storage module obtains the time-of-use electricity price information corresponding to the next cycle before the end of the current cycle. When the electricity price storage module stores the acquired time-of-use electricity price information, it stores it according to the electricity price storage period, and the electricity price storage period is not less than the electricity storage cycle. Exemplarily, if the cycle for updating electricity prices at a certain destination is one day, the electricity price storage module obtains tomorrow's time-of-use electricity price information before the end of the day (such as 23:30), and stores an electricity price every 30 minutes. At this time, the electricity price storage module will store 48 electricity prices for each day.

[0122] In this embodiment, the electricity price storage period is made not less than the electricity storage cycle, so that when calculating the real-time benefit of a certain electricity storage cycle, it is possible to avoid the need to calculate using two electricity prices, thereby effectively simplifying the calculation process.

[0123] In addition, in this embodiment, the electricity price storage module specifically obtains the time-of-use electricity price information of each destination from a third-party website. On this basis, the anomaly detection module is specifically used to:

[0124] When the time-of-use electricity price information corresponding to the next target duration is consistent with the time-of-use electricity price information corresponding to the historical target duration, a first alarm information is fed back; the first alarm information is used to indicate that the time-of-use electricity price information needs to be manually reviewed;

[0125] If the time-of-use electricity price information corresponding to the next target duration is not obtained within a preset time before the end of the target duration, a second alarm message is fed back; the second alarm message is used to indicate that the time-of-use electricity price information of the destination is obtained manually.

[0126] When the user instruction is obtained, the revised time-of-use electricity price information corresponding to the second target date is sent to the electricity price storage module, and a recalculation instruction is sent to the revenue recalculation module; the user instruction is used to indicate that the time-of-use electricity price information of the second target date is wrong;

[0127] The profit recalculation module is also used to update the real-time profit of the second target date and feedback the second error prompt information based on the revised time-of-use electricity price information and the electricity data corresponding to the second target date stored in the time series database when receiving a recalculation instruction; the second error prompt information is used to indicate the error profit corresponding to the real-time profit of the second target date.

[0128] Through the above settings, the time-of-use electricity price information can be updated in time when an error occurs in the time-of-use electricity price information, thereby ensuring the accuracy of real-time revenue calculation. In addition, the revenue recalculation module can also recalculate the total revenue of the corresponding date in time, thereby ensuring the accuracy of the revenue.

[0129] From the above content, it can be seen that the energy storage revenue update system in this application, on the one hand, can realize real-time revenue calculation with smaller granularity by setting a suitable power storage cycle. On the other hand, it can regularly confirm whether there are abnormalities in the daily power data through the abnormality detection module, and solve the revenue error caused by the abnormality through the revenue recalculation module, thereby ensuring the accuracy of the final revenue of each day.

[0130] Furthermore, the anomaly detection module in the present application can also perform anomaly detection on the time-of-use electricity price information stored in the electricity price storage module, and when necessary, resolve the revenue error caused by the anomaly in the time-of-use electricity price information through the revenue recalculation module, thereby realizing a high fault tolerance mechanism and compensation mechanism, thereby further ensuring the accuracy of the final daily revenue.

[0131] In addition, when the profit recalculation module in this application updates the final daily profit when necessary, it also feeds back the first error prompt information or the second error prompt information to inform the user of the impact on the real-time profit at a certain target time point and the profit error generated for the user's reference.

[0132] The present application also provides an embodiment of an energy storage revenue update method, which is implemented based on the energy storage revenue update system in the aforementioned embodiment. Figure 5 A flow chart of a method for updating energy storage revenue provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the method of this embodiment includes:

[0133] S501, acquiring and storing electricity data reported by at least one energy storage device according to a preset reporting frequency, and time-of-use electricity price information of at least one destination.

[0134] The time-of-use electricity price information is used to indicate the electricity price of the destination in each electricity price storage period.

[0135] S502: At a preset time on the current date, integrity check is performed on the electricity data of a first target date stored before the current date.

[0136] When the power data on the first target date includes the power data at all target time points, it indicates that the integrity check has passed; the target time point is related to a preset power storage period.

[0137] S503, when the integrity check of any first target date fails, obtaining the supplementary power data of the target energy storage device, and updating the revenue of the first target date according to the supplementary power data and the corresponding electricity price.

[0138] In the method provided in this embodiment, at the preset time of the current date, the integrity check of the power data of the first target date before the current date can be performed to determine whether the real-time revenue at each target time point is calculated based on the power data at the target time point, and when the real-time revenue may be abnormal, the revenue of the first target date is updated according to the supplementary power data, thereby ensuring the accuracy of the final revenue of the first target date. Specifically, how to implement each step can be referred to the aforementioned embodiment, and will not be repeated here.

[0139] The above embodiment introduces an energy storage benefit updating method from the perspective of method flow, and the following embodiment introduces an energy storage benefit calculation device from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0140] The present application embodiment provides a device for calculating energy storage benefits. Figure 6 A schematic diagram of the structure of an energy storage benefit calculation device provided in an embodiment of the present application is shown in FIG. Figure 6 As shown, the device includes an acquisition module 61, a verification module 62 and an update module 63, wherein:

[0141] The acquisition module 61 is used to acquire and store the power data reported by at least one energy storage device according to a preset reporting frequency, and the time-of-use electricity price information of at least one destination; the time-of-use electricity price information is used to indicate the electricity price of the destination in each electricity price storage period;

[0142] Verification module 62, used to perform integrity verification on the stored power data of a first target date before the current date at a preset time of the current date; wherein, when the power data of the first target date includes the power data of all target time points, it indicates that the integrity verification has passed; the target time point is related to a preset power storage period;

[0143] The updating module 63 is used to obtain the supplementary power data of the target energy storage device when the integrity check of any first target date fails, and update the revenue of the first target date according to the supplementary power data and the corresponding electricity price.

[0144] An energy storage benefit calculation device provided in an embodiment of the present application is applicable to the above-mentioned method embodiment and will not be described in detail here.

[0145] An electronic device is provided in an embodiment of the present application. Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 7 As shown, Figure 7The electronic device shown includes: a processor 71 and a memory 72. The processor 71 and the memory 72 are connected, such as through a bus 73. Optionally, the electronic device may further include a transceiver 74. It should be noted that in actual applications, the transceiver 74 is not limited to one, and the structure of the electronic device does not constitute a limitation on the embodiments of the present application.

[0146] The processor 71 may be a central processing unit (CPU), a general processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 71 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0147] The bus 73 may include a path to transmit information between the above components. The bus 73 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus 73 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the figure, but it does not mean that there is only one bus 73 or only one type of bus 73.

[0148] The memory 72 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0149] The memory 72 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 71. The processor 71 is used to execute the application code stored in the memory 72 to implement the contents shown in the above method embodiment.

[0150] The present application also provides a computer-readable storage medium, which may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes. Specifically, the computer-readable storage medium stores program instructions, and the program instructions are used to implement the methods in the above-mentioned embodiments.

[0151] A computer program product is also provided in an embodiment of the present application, including a computer program. When the computer program is executed by a processor, the technical solution of the above-mentioned method embodiment is implemented. The implementation principle and technical effect are similar and will not be repeated here.

[0152] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0153] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A system for updating energy storage revenue, characterized in that: The system comprises: A time series database, used to obtain and store power data reported by at least one energy storage device according to a preset reporting frequency; An electricity price storage module, used to obtain time-of-use electricity price information of at least one destination, wherein the time-of-use electricity price information is used to indicate the electricity price corresponding to the destination in each electricity price storage period; an abnormality detection module, configured to perform integrity check on the power data of a first target date before the current date stored in the time series database at a preset time of the current date; wherein, when the time series database contains power data of the first target date at all target time points, it indicates that the integrity check has passed; and the target time points are related to a preset power storage period; The revenue recalculation module is used to obtain the supplementary power data of the target energy storage device when the integrity check of any first target date fails; and is also used to update the revenue of the first target date according to the supplementary power data and the corresponding electricity price.

2. The system according to claim 1, characterized in that The first target date is a date corresponding to three days before the current date; the revenue recalculation module is further used for: When all the supplementary power data of any first target date are obtained, the revenue of the first target date is updated according to the electricity price corresponding to the supplementary power data, and a first error prompt message is fed back, the flag bit of the first target date is set from the first value to the second value; The anomaly detection module is specifically used for: At a preset time on the current date, obtaining a flag bit of a first target date before the current date, and when the flag bit is the first value, performing integrity check on the power data of the first target date before the current date stored in the time series database; When the flag bit is the second value, the electricity data on the first target date is fed back to the revenue recalculation module to show that it passes the integrity check.

3. The system according to claim 1 or 2, characterized in that: The anomaly detection module is also used for: When the time series database does not contain electricity data for the first target date at all target time points, and two electricity storage periods adjacent to the missing time points correspond to different electricity prices, it is determined that the integrity check of the first target date fails.

4. The system according to claim 1 or 2, characterized in that: The system further includes a data reporting module, which is connected to a plurality of energy storage devices and is used to receive power data reported by the plurality of energy storage devices according to a preset reporting frequency, and send the power data to the time series database; The data reporting module is connected to the anomaly detection module, and is used to receive the data retransmission instruction sent by the anomaly detection module, and respond to the data retransmission instruction to retransmit the missing power data to the time series database; the data retransmission instruction is sent to the data reporting module by the anomaly detection module when the integrity check of the first target date fails.

5. The system according to claim 4, characterized in that The missing power data is obtained in any of the following ways: obtained from a local cache of the target energy storage device, determined according to historical power usage of the target energy storage device, or obtained from a user terminal.

6. The system according to claim 4, characterized in that The system also includes a cache database and a real-time revenue calculation module; The cache database is connected to the data reporting module, and is used to obtain the power data, and store the latest power data received in each power storage period; The real-time profit calculation module is connected to the cache database and the electricity price storage module, and is used to calculate the real-time profit based on the latest electricity data of the electricity storage cycle, the latest electricity data of the previous electricity storage cycle, and the electricity price corresponding to the electricity price storage period to which the electricity storage cycle belongs.

7. The system according to claim 1 or 2, characterized in that: The electricity price storage module is specifically used for: Before each target duration ends, the time-of-use electricity price information corresponding to the next target duration is obtained and stored; the target duration is related to the electricity price publishing rule of the destination; the electricity price storage period is not less than the electricity storage cycle.

8. The system according to claim 7, characterized in that The abnormality detection module is also connected to the electricity price storage module; the abnormality detection module is specifically used for: When the time-of-use electricity price information corresponding to the next target duration is consistent with the time-of-use electricity price information corresponding to the historical target duration, a first alarm information is fed back; the first alarm information is used to indicate that the time-of-use electricity price information needs to be manually reviewed; If the time-of-use electricity price information corresponding to the next target duration is not obtained within a preset time before the end of the target duration, a second alarm message is fed back; the second alarm message is used to indicate that the time-of-use electricity price information of the destination is obtained manually.

9. The system according to claim 7, characterized in that The abnormality detection module is also connected to the electricity price storage module; the abnormality detection module is specifically used for: When a user instruction is obtained, the revised time-of-use electricity price information corresponding to the second target date is sent to the electricity price storage module, and a recalculation instruction is sent to the revenue recalculation module; the user instruction is used to indicate that the time-of-use electricity price information of the second target date is wrong; The revenue recalculation module is further configured to update the real-time revenue of the second target date according to the modified time-of-use electricity price information and the electricity data corresponding to the second target date stored in the time series database upon receiving the recalculation instruction, and to feed back a second error prompt information; The second error prompt information is used to indicate the error profit corresponding to the real-time profit on the second target date.

10. A method for updating energy storage revenue, characterized in that: Applied to the system according to any one of claims 1 to 9; the method comprises: Acquire and store the power data reported by at least one energy storage device according to a preset reporting frequency, and the time-of-use electricity price information of at least one destination; the time-of-use electricity price information is used to indicate the electricity price of the destination in each electricity price storage period; At a preset time on the current date, an integrity check is performed on the stored power data of a first target date before the current date; wherein, when the power data of the first target date includes the power data of all target time points, it is indicated that the integrity check has passed; the target time point is related to a preset power storage period; When the integrity check of any first target date fails, the supplementary power data of the target energy storage device is obtained, and the revenue of the first target date is updated according to the supplementary power data and the corresponding electricity price.

Images