Energy storage power station data processing method and system

Abstract

The invention belongs to the technical field of energy storage power station data information, and particularly relates to an energy storage power station data processing method and system. According to whether the energy storage power station data needs to be calculated or not, the energy storage power station data is divided into two types of data which are directly forwarded after being collected and data which need to be calculated and then forwarded after being collected; according to the classification result, processing the collected energy storage power station data according to different processing modes: directly sending the data which is directly forwarded after collection to a real-time library, firstly calculating the data which needs to be forwarded after calculation after collection, and then sending the data and a calculation result to the real-time library. According to the method, the operation and maintenance system of the energy storage power station does not need to select data from a real-time library for calculation, so that the data processing efficiency of the energy storage power station is effectively improved, and the data transmission of the energy storage power station is more agile and quicker.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage power station data information technology, and specifically relates to an energy storage power station data processing method and system. Background Art

[0002] Large-scale energy storage power stations are usually composed of a large number of battery energy storage units, and these batteries will generate a large amount of battery data during operation. The operation and maintenance, early warning, and data analysis of the monitoring system of large-scale data energy storage power stations all involve data calculation and transmission. In the prior art, a large amount of data from the energy storage power station is directly transmitted to the real-time library of the monitoring system. When the energy storage power station operation and maintenance system requires statistical data on battery consistency, the corresponding data is selected from the large amount of data in the real-time library for calculation and analysis according to the needs. The data processing time is too long and the processing efficiency is low, which affects the working efficiency of the energy storage power station. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for processing data of an energy storage power station, so as to solve the problem of low efficiency of data processing of an energy storage power station in the prior art.

[0004] In order to solve the above technical problems, the present invention provides a data processing method for an energy storage power station, comprising the following steps:

[0005] Collect energy storage power station data;

[0006] According to whether the energy storage power station data needs to be calculated, the energy storage power station data is divided into two categories: data that is directly forwarded after collection and data that needs to be calculated before being forwarded after collection;

[0007] According to the data type, the collected energy storage data is processed in different processing methods. The processing methods are as follows: for data whose type is directly forwarded after collection, the data is directly sent to the real-time library; for data whose type needs to be calculated and then forwarded after collection, the data is calculated first, and then the data and the calculation results are sent to the real-time library.

[0008] Furthermore, the method classifies the energy storage data using an energy storage power station data model, wherein the energy storage power station data model is designed according to different business requirements of the energy storage power station.

[0009] Furthermore, the method also includes periodically transferring the data in the real-time library to the historical library.

[0010] Furthermore, the real-time library is a redis real-time library.

[0011] The beneficial effects of the above technical solution are as follows: the energy storage power station data processing method provided by the present invention classifies the energy storage power station data according to whether it needs to be calculated after collection, and selects different processing methods to process the collected data according to the data category before the data is transmitted to the real-time library: the data directly forwarded after collection is directly sent to the real-time library, and the data that needs to be calculated before forwarding after collection is first calculated, and then the data and the calculation results are sent to the real-time library, so that the operation and maintenance system of the energy storage power station no longer needs to select data from the real-time library for calculation, but directly retrieves data from the real-time library for analysis, which solves the problem of low data processing efficiency of energy storage power stations in the prior art and can effectively improve data processing efficiency in the case of massive data.

[0012] In order to solve the above technical problems, the present invention also provides an energy storage power station data processing system, including an acquisition module, the acquisition module is used to collect energy storage power station data, and also includes an energy storage system configuration library, a data handling module and a data calculation module. The energy storage system configuration library is used to divide the energy storage power station data into two categories according to whether the energy storage power station data needs to be calculated, namely: data directly forwarded after acquisition and data that needs to be calculated and then forwarded after acquisition; the data handling module is used to directly send the data of the type that is directly forwarded after acquisition to the real-time library; the data calculation module is used to calculate the data of the type that needs to be calculated and then forwarded after acquisition, and then send the data and the calculation results to the real-time library.

[0013] Furthermore, the energy storage data is classified using an energy storage power station data model, wherein the energy storage power station data model is designed according to different business requirements of the energy storage power station.

[0014] Furthermore, the data calculation module calculates the data using a distributed data processing method.

[0015] Furthermore, it also includes a history storage module, which is used to regularly transfer the data in the real-time library to the history library.

[0016] Furthermore, the acquisition module is a BAMS, the BAMS is connected to the BCMU to collect the battery pack information uploaded by the BCMU, and the BCMU is connected to the BMU to collect the single cell information of the single cell.

[0017] Furthermore, the real-time library is a redis real-time library.

[0018] The beneficial effects of the above technical solution are as follows: the energy storage power station data processing system provided by the present invention classifies the energy storage power station data according to whether it needs to be calculated after collection, and selects different processing methods to process the collected data according to the data category before the data is transmitted to the real-time library: the data directly forwarded after collection is directly sent to the real-time library through the data handling module, and the data that needs to be calculated before forwarding after collection is first calculated in the data calculation module, and then the data and the calculation results are sent to the real-time library, so that the operation and maintenance system of the energy storage power station no longer needs to select data from the real-time library for calculation, but directly retrieves data from the real-time library for analysis, which solves the problem of low data processing efficiency of energy storage power stations in the prior art and can effectively improve data processing efficiency in the case of massive data. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a data processing flow chart of an energy storage power station according to an embodiment of the method of the present invention;

[0020] Figure 2 It is a schematic diagram of the composition of an energy storage power station in the prior art. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the present invention more clear, the specific implementation methods of the present invention are further described below in conjunction with the accompanying drawings.

[0022] In order to solve the problem of low data processing efficiency in large-scale energy storage power stations, the present invention divides the data into data that is directly forwarded after collection and data that needs to be calculated before being forwarded, according to whether the energy storage power station data needs to be calculated. Before the data is transmitted to the real-time library, different processing methods are selected according to the data category for distributed processing of the collected data, so that the data sent to the real-time library is the data calculated according to business needs. The operation and maintenance system of the energy storage power station no longer needs to select data from the real-time library for calculation, but directly retrieves data from the real-time library for analysis. In the case of massive data, the data processing efficiency can be effectively improved, making the work efficiency of the energy storage power station more agile and rapid.

[0023] System Example

[0024] The system embodiment of the present invention discloses a data processing system for an energy storage power station, including an acquisition module, an energy storage system configuration library, a data handling module and a data calculation module. The acquisition module is used to acquire data of the energy storage power station; the energy storage system configuration library is used to classify the energy storage power station data into two categories according to whether the energy storage power station data needs to be calculated, namely: data directly forwarded after acquisition and data that needs to be calculated and then forwarded after acquisition; the data handling module is used to directly send data of the type that is directly forwarded after acquisition to a real-time library; the data calculation module is used to calculate data of the type that needs to be calculated and then forwarded after acquisition to obtain calculation results, and then send the data and the calculation results to the real-time library.

[0025] Through this system, a data processing method for energy storage power station is realized, such as Figure 1 As shown, the specific process is as follows:

[0026] 1. Collect data from energy storage power stations.

[0027] The structure of energy storage power station is complex, and the battery structure is Figure 2 As shown, the energy storage power station includes multiple battery stacks, each battery stack includes multiple battery clusters, each battery cluster includes multiple battery groups, and the battery group is composed of single cells. The single cell management layer BMU collects various single cell information of the single cell, such as single cell temperature, voltage and current and other battery information, calculates and analyzes the battery state of charge SOC and battery health state SOH; the battery group management layer BCMU is responsible for collecting various single cell information uploaded by BMU, collecting various information of the battery group, such as group voltage, group temperature and battery group charging and discharging current and other battery group information, calculating and analyzing the SOC and SOH of the battery group, and uploading all the information to the battery cluster management layer BAMS. The battery cluster management layer BAMS is responsible for collecting various battery group information uploaded by BCMU, collecting various battery information such as temperature, voltage and current of the battery cluster, and uploading all the information to the energy storage monitoring system. In this embodiment, the data of the energy storage power station is collected through BAMS.

[0028] 2. According to whether the energy storage power station data needs to be calculated, the energy storage power station data is divided into two categories: data that is directly forwarded after collection and data that needs to be calculated and then forwarded after collection. Among them, the data that needs to be calculated and then forwarded after collection is the data that needs to be calculated according to business needs. For example, if you need to monitor battery charging and discharging and the possibility of failure, you need to obtain the single-cell average SOC, single-cell SOC standard deviation and single-cell SOC range data. In this case, you need to first calculate the single-cell battery SOC data of the monitored object to obtain the single-cell average SOC, single-cell SOC standard deviation and single-cell SOC range, and then forward the data and calculation results.

[0029] Preferably, by establishing a data model for an energy storage power station, using the data model for the energy storage power station to mark whether the data needs to be calculated, the energy storage power station data is divided into two categories. Specifically, according to the different business needs of the energy storage power station, different data models are designed and stored in the energy storage system configuration library. The data model includes whether the data needs to be calculated and the calculation formula of the data. After the collected data of BAMS is obtained, the data model of the corresponding data is selected in the configuration library, and the data of the energy storage power station is marked whether the data needs to be calculated according to the data model stored in the configuration library, so as to classify the collected data. By establishing a data model for an energy storage power station and using the model to mark and classify the collected data, data processing is made more standardized and intelligent, and the processing efficiency of energy storage power station data is improved.

[0030] 3. Based on the classification results, the energy storage power station data is processed in different ways.

[0031] In this embodiment, if the data type is data that is directly forwarded after collection, the data is directly sent to the real-time library through the real-time data handling module; if the data type is data that needs to be calculated and then forwarded after collection, the data calculation module is first used to calculate according to the calculation formula configured in the data model, and then the data and the calculation results are sent to the real-time library. As a preferred embodiment, the data calculation module can be set to multiple data processing servers, using a distributed data processing method, and the calculation tasks are allocated according to the calculation amount and calculation complexity to further improve the efficiency of data processing.

[0032] Preferably, the real-time database uses the redis real-time database, which is an open source non-relational database that can conveniently store data in real time.

[0033] As an optional implementation, the energy storage power station data processing system of the present invention further includes a history storage module and a history library. The history storage module is used to regularly transfer the data received in the real-time library to the history library, such as regularly transferring the data received in the real-time library to the history library every week or every month. When the energy storage power station monitoring system needs historical data for business, the corresponding data can be obtained from the history library for data analysis, thereby improving the reliability of the energy storage power station.

[0034] Method Embodiment

[0035] The method embodiment of the present invention discloses a method for processing data of an energy storage power station. The specific implementation process of the method has been described in detail in the system embodiment and will not be repeated here.

[0036] The energy storage power station system data processing method and system provided by the present invention classify and process the collected data according to whether the energy storage power station data needs to be calculated, and send the processed data to the real-time library, so that when the operation and maintenance system of the energy storage power station needs statistical data on battery consistency, there is no need to filter the corresponding data from the massive data in the real-time library for calculation, but the processed data is directly obtained, which effectively improves the data processing efficiency of the energy storage power station and also provides an agile and efficient data source for subsequent statistical classification and historical storage of the data.

Claims

1. A method for processing data of an energy storage power station, It is characterized in that The following steps are involved: Collect energy storage power station data; According to whether the energy storage power station data needs to be calculated, the energy storage power station data is divided into two categories: data that is directly forwarded after collection and data that needs to be calculated before being forwarded after collection; According to the data type, the collected energy storage data is processed in different processing methods. The processing methods are as follows: for data whose type is directly forwarded after collection, the data is directly sent to the real-time library; for data whose type needs to be calculated and then forwarded after collection, the data is calculated first, and then the data and the calculation results are sent to the real-time library.

2. The energy storage power station data processing method according to claim 1, It is characterized in that The method classifies energy storage data using an energy storage power station data model, wherein the energy storage power station data model is designed according to different business requirements of the energy storage power station.

3. The energy storage power station data processing method according to claim 1 or 2, It is characterized in that The method also includes periodically transferring the data in the real-time library to the historical library.

4. The energy storage power station data processing method according to claim 1, It is characterized in that The real-time library is a redis real-time library.

5. A data processing system for an energy storage power station, comprising a collection module, wherein the collection module is used to collect data of the energy storage power station, It is characterized in that It also includes an energy storage system configuration library, a data handling module and a data calculation module. The energy storage system configuration library is used to divide the energy storage power station data into two categories according to whether the energy storage power station data needs to be calculated, namely: data directly forwarded after collection and data that needs to be calculated and then forwarded after collection; the data handling module is used to directly send the data of the type that is directly forwarded after collection to the real-time library; the data calculation module is used to calculate the data of the type that needs to be calculated and then forwarded after collection, and then send the data and the calculation results to the real-time library.

6. The energy storage power station data processing system according to claim 5, It is characterized in that The energy storage data is classified using an energy storage power station data model, wherein the energy storage power station data model is designed according to different business requirements of the energy storage power station.

7. The energy storage power station data processing system according to claim 5 or 6, It is characterized in that The data calculation module calculates the data using a distributed data processing method.

8. The energy storage power station data processing system according to claim 5 or 6, It is characterized in that It also includes a history storage module, which is used to regularly transfer the data in the real-time library to the history library.

9. The energy storage power station data processing system according to claim 5, It is characterized in that The acquisition module is a BAMS, the BAMS is connected to the BCMU to collect the battery pack information uploaded by the BCMU, and the BCMU is connected to the BMU to collect the single cell information of the single cell.

10. The energy storage power station data processing system according to claim 5, It is characterized in that The real-time library is a redis real-time library.

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