Battery data storage method for energy storage power station

Abstract

The invention relates to a battery data storage method for an energy storage power station, and belongs to the field of operation and maintenance of energy storage power stations. The storage data volume is reduced through three operations of performing primary compression on the attribute data of the battery monomers in the same battery cluster, performing secondary compression on the attribute data of the battery clusters in the same battery stack and acquiring the attribute data of the battery monomers according to a set interval. The problems that an existing energy storage power station is large in data storage amount and data are difficult to store are solved.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage power station operation and maintenance, and in particular relates to a method for storing battery data in an energy storage power station. Background Art

[0002] The equipment operation data of energy storage power stations has the characteristics of high collection frequency, large data volume, and many types of information. Big data storage is required to effectively serve the energy storage battery data analysis and operation and maintenance business. The structure of the battery group of the energy storage power station is: an energy storage power station includes multiple energy storage PCS, an energy storage PCS includes multiple battery stacks, a battery stack includes multiple battery clusters, and a battery cluster includes multiple battery cells.

[0003] Taking a 50MW / 100MWh energy storage power station as an example, if all the single-cell battery measurement data of the energy storage power station are sent to the monitoring, the total data scale of the entire station is about 3 million four-telemetry points, of which single-cell telemetry data accounts for more than 80%. The main reason is that the increase in the amount of single-cell data has led to an exponential growth in the data of the entire station. According to this data scale, data storage is carried out and the storage interval meets the needs of energy storage data analysis and operation and maintenance. Conventional stand-alone databases and timed storage solutions cannot support the data access and data analysis needs of energy storage power stations above 100MW or even GW level. It is urgent to adjust the data storage solution of energy storage power stations to solve the problem.

[0004] In summary, existing energy storage power stations have problems such as large amounts of stored data and difficulty in storing data due to the large number of battery cells. Summary of the invention

[0005] The purpose of the present invention is to provide a method for storing battery data in an energy storage power station, so as to solve the technical problem in the prior art that the energy storage power station has a large amount of stored data and data is difficult to store due to the large number of battery cells.

[0006] In order to achieve the above-mentioned purpose, the technical solution of a method for storing battery data in an energy storage power station provided by the present invention is:

[0007] A method for storing battery data of an energy storage power station. When storing battery group data of an energy storage power station, the method first collects battery cell attribute data, performs primary compression on the battery cell attribute data in the same battery cluster, and / or performs secondary compression on the battery cluster attribute data in the same battery stack; primary compression means that when the attribute data of the battery cells in the battery cluster meet the consistency, only the primary set statistical values ​​corresponding to the battery cell attribute data are stored; secondary compression means that when the attribute data of the battery cluster in the battery stack meet the consistency, only the secondary set statistical values ​​corresponding to the battery cluster attribute data are stored.

[0008] The beneficial effect is that the attribute data of battery cells accounts for a large proportion of the storage data of the energy storage power station. By performing primary compression on the attribute data of battery cells and / or secondary compression on the attribute data of battery clusters, the size of the data is reduced, thereby achieving the effect of reducing the total amount of stored data in the energy storage power station. The problem of large amount of stored data and difficulty in storing data in existing energy storage power stations is solved. Among them, the primary compression and the secondary compression only store the primary and secondary set statistical values ​​corresponding to the attribute data. Since the set statistical values ​​are much smaller than the data volume of the attribute data, the primary compression and the secondary compression can achieve the effect of compressing the data.

[0009] As a further improvement, the first-level statistical values ​​are set as the maximum value, minimum value, average value, range value, the position of the battery cell where the maximum value is located, and the position of the battery cell where the minimum value is located of the attribute data corresponding to the battery cell; the second-level statistical values ​​are set as the maximum value, minimum value, average value, range value, the position of the battery cluster where the maximum value is located, and the position of the battery cluster where the minimum value is located of the attribute data corresponding to the battery cluster.

[0010] The beneficial effect is that the data such as the maximum value, minimum value, average value, range value, the position of the battery where the maximum value is located, and the position of the battery where the minimum value is located can basically reflect the current state of the battery. Combining the set statistical value with the corresponding historical data can reflect the current state of the battery. Therefore, the set statistical value includes the above six values.

[0011] As a further improvement, when storing the battery pack data of the energy storage power station, the set interval for collecting the attribute data of the battery cell is set according to the energy storage PCS state. When the energy storage PCS state is charging or discharging, the set interval is smaller, and when the energy storage PCS state is neither charging nor discharging, the set interval is larger.

[0012] The beneficial effect is that when the energy storage PCS is in a state of neither charging nor discharging, the corresponding data hardly changes, so the setting interval can be set longer to save data storage space. The size of the setting interval affects the storage data size of the energy storage power station. The total amount of data collected once a minute and once every half an hour in a certain period of time is very different. Therefore, by setting a reasonable setting interval to collect data, it is possible to ensure that the collected data can meet the needs and keep the amount of collected data as small as possible.

[0013] As a further improvement, the strategy for setting the set interval is: detect the state of the energy storage PCS. When the energy storage PCS is in a charging state, the larger the SOC is, the smaller the corresponding set interval is; when the energy storage PCS is in a discharging state, the larger the SOC is, the larger the corresponding set interval is.

[0014] The beneficial effect is: the size of the setting interval is set according to the state of the energy storage PCS. When the energy storage PCS is in a charging state, if the smaller the SOC is, the larger the corresponding rechargeable capacity is, a stable charging state should be maintained, so there is no need for intensive data collection, and the set interval can be slightly larger. The larger the SOC is, the smaller the corresponding rechargeable capacity is. In the charging state, many battery cells or TV clusters will stop charging, and correspondingly, a large number of battery cells or TV cluster attribute data will change, so intensive data collection is required, and the corresponding setting interval is smaller. When the energy storage PCS is in a discharging state, the setting principle of the setting interval is similar to that in the charging state. By setting different setting intervals for different states of the energy storage PCS, it is ensured that the collected data can save energy storage space on the basis of meeting the needs.

[0015] As a further improvement, when the attribute data of the battery cells in the battery cluster do not meet the consistency, the attribute data of all the battery cells in the battery cluster are stored; when the attribute data of the battery clusters in the battery stack do not meet the consistency, the attribute data of all the battery clusters in the battery stack are stored.

[0016] The beneficial effect is that if the collected attribute data do not meet the consistency, it means that the battery cell or battery cluster has been charged and discharged, and the attribute data has changed, which is data that needs to be recorded, so the collected attribute data is stored. Through consistency judgment, the data that really needs to be recorded and the data that does not need to be recorded are separated, and the effect of compressing data is achieved by not storing the data that does not need to be recorded.

[0017] As a further improvement, a method for determining whether a battery cluster satisfies consistency is as follows: a range value is calculated based on the maximum and minimum values ​​corresponding to the attributes of the battery cells in the battery cluster; when the range value is within the consistency threshold range, it is determined that the consistency is satisfied; when the range value exceeds the consistency threshold range, it is determined that the consistency is not satisfied; a method for determining whether a battery stack satisfies consistency is as follows: a range value is calculated based on the maximum and minimum values ​​corresponding to the attributes of the battery cluster in the battery stack; when the range value is within the consistency threshold range, it is determined that the consistency is satisfied; when the range value exceeds the consistency threshold range, it is determined that the consistency is not satisfied; the above range value is equal to the maximum value minus the minimum value.

[0018] The beneficial effect is that the consistency of a battery cluster or a battery stack can be judged through extreme difference values. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural diagram of the energy storage power station in the energy storage power station battery data storage method of the present invention;

[0020] Figure 2 This is a flow chart of the method for storing battery data in an energy storage power station according to the present invention;

[0021] Figure 3 The present invention is a flow chart of setting a set interval in the method for storing battery data in an energy storage power station. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0023] Energy storage power station battery data storage method embodiment:

[0024] like Figure 1 As shown in the figure, the structure of the energy storage power station battery group is: one energy storage power station includes multiple energy storage PCS, one energy storage PCS includes multiple battery stacks, one battery stack includes multiple battery clusters, and one battery cluster includes multiple battery cells. The role of the energy storage PCS is to interact with the energy storage power station of the power grid. Each battery cell contains 6 analog attributes.

[0025]

[0026]

[0027] Since the number of battery cells is the largest, there are many measurement objects to be collected and stored, and the total data scale for MW-class large-capacity energy storage power stations is in the hundreds of thousands to millions. It is roughly estimated that a 100MW-class energy storage power station has more than 200 battery stacks, and each battery stack has 10 battery clusters, and each battery cluster has 200 battery cells. A 100MW energy storage station has about 40w battery cells, and each battery cell has 6 analog quantities, and the analog quantity scale reaches 240w. If all the attribute data of all battery cells are stored in real time, the space occupied is very large.

[0028] To solve the above problems, the following Figure 2 The method shown is a method for storing battery data of an energy storage power station. In this method, when storing the battery group data of the energy storage power station, the battery cell attribute data is first collected, and the battery cell attribute data in the same battery cluster is compressed in one level. Then, the battery cluster attribute data is obtained based on the battery cell attribute data, and the battery cluster attribute data in the same battery stack is compressed in two levels. The amount of stored data is reduced through the first compression and the second compression.

[0029] Specifically, the compression process of the first compression and the second compression is similar. Taking the first compression process as an example, the first compression process is: judging the consistency of the battery cluster according to the attribute data of the battery cells in the battery cluster, if the consistency is satisfied, the collected battery cell attribute data is not stored, and only the first-level set statistical value corresponding to the battery cell attribute data in the battery cluster is stored; if the consistency is not satisfied, the collected attribute data of all battery cells in the battery cluster is stored. The set statistical value refers to the maximum value, minimum value, range value, average value, position of the battery cell where the maximum value is located, and position of the battery cell where the minimum value is located of the battery cell attribute data in the battery cluster.

[0030] Among them, the method for judging the consistency of the battery cluster is: calculating the maximum value, minimum value, range and average value corresponding to each attribute in the battery cells in the battery cluster. When the range value is within the consistency threshold range, it is judged to meet the consistency; when the range value exceeds the consistency threshold range, it is judged to not meet the consistency. The range value is equal to the maximum value minus the minimum value. The method for judging the consistency of the battery stack is: calculating the maximum value, minimum value, range and average value corresponding to each attribute in the battery cluster of the battery stack. When the range value is within the consistency threshold range, it is judged to meet the consistency; when the range value exceeds the consistency threshold range, it is judged to not meet the consistency. The range value is equal to the maximum value minus the minimum value.

[0031] When making a specific judgment, each attribute must be judged for consistency. Taking the judgment of battery cell voltage attribute data as an example, the range value is calculated based on the maximum and minimum values ​​corresponding to the statistical voltage attribute data of each battery cell in the battery cluster. When the range value of the voltage data of the battery cell is within the consistency threshold range, it is judged that the voltage data of the battery cell meets the consistency. At this time, the voltage value of each single battery in the cluster can be compressed in one level, that is, only the maximum voltage value, minimum voltage value, voltage range value, average voltage value, location of the battery cell where the maximum voltage is located, and location of the battery cell where the minimum voltage is located in the battery cluster are stored. When the range value exceeds the consistency threshold range, it is judged that the voltage data of the battery cell does not meet the consistency, and the voltage data of all battery cells in the battery cluster need to be stored.

[0032] That is, the set statistical value of the battery cell attribute data in the battery cluster refers to the set statistical value corresponding to one type of attribute data in a battery cluster. The processing of other attribute data is similar to the above voltage data and will not be described one by one.

[0033] In order to further reduce the amount of stored data, the present invention also sets the interval for collecting the attribute data of the battery cells according to the energy storage PCS state when storing the battery pack data of the energy storage power station. When the energy storage PCS state is in the charging or discharging state, the set interval is smaller, and when the energy storage PCS state is in the non-charging and non-discharging state, the set interval is larger. Because when the energy storage PCS state is in the charging or discharging state, the relative data changes faster, and new data needs to be stored in time to detect the state of the energy storage power station; and when the energy storage PCS is in the non-charging and non-discharging state, the corresponding data hardly changes, and the current state of the energy storage power station can be detected through the historical storage data, so the set interval can be set longer to save data storage space.

[0034] The specific setting interval is: detecting the state of the energy storage PCS, when the energy storage PCS is in a charging state, the greater the SOC, the smaller the corresponding setting interval; when the energy storage PCS is in a discharging state, the greater the SOC, the larger the corresponding setting interval.

[0035] Among them, Figure 3 As shown, the strategy for setting the setting interval of the present invention is: detecting the state of the energy storage PCS, when the energy storage PCS is in the charging state, if the SOC is greater than or equal to 70%, the interval is set to 1 second, if the SOC is less than 70% and greater than 50%, the interval is set to 1 minute, if the SOC is less than 50%, the interval is set to 5 minutes; when the energy storage PCS is in the discharging state, if the SOC is less than or equal to 30%, the interval is set to 1 second, if the SOC is less than 50% and greater than 30%, the interval is set to 1 minute, and if the SOC is greater than or equal to 50%, the interval is set to 5 minutes; when the energy storage PCS is in a state of neither charging nor discharging, the interval is set to 1 hour. By setting different setting intervals for different states of the energy storage PCS, it is ensured that the collected data can save energy storage space on the basis of meeting the data requirements. The time of the interval set here can be adaptively adjusted according to actual needs, and the setting interval is not limited to the specific time given in this embodiment.

[0036] The present invention reduces the amount of stored data by performing primary compression on the attribute data of battery cells in the same battery cluster, performing secondary compression on the attribute data of battery clusters in the same battery stack, and collecting the attribute data of battery cells at set intervals, thereby solving the problem of large amount of stored data and difficulty in storing data in existing energy storage power stations.

[0037] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments without creative work, or replace some of the technical features therein with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for storing battery data in an energy storage power station, characterized in that: When storing the battery group data of the energy storage power station, the battery cell attribute data is collected, the battery cell attribute data in the same battery cluster is compressed in one level, and / or the battery cluster attribute data in the same battery stack is compressed in two levels; The first-level compression means that when the attribute data of the battery cells in the battery cluster meet the consistency, only the first-level set statistical values ​​corresponding to the attribute data of the battery cells are stored; The secondary compression means that when the attribute data of the battery clusters in the battery stack meet the consistency, only the secondary set statistical values ​​corresponding to the attribute data of the battery clusters are stored.

2. The method for storing battery data in an energy storage power station according to claim 1, characterized in that: The first-level statistical values ​​are the maximum value, minimum value, average value, range value, the location of the battery cell where the maximum value is located, and the location of the battery cell where the minimum value is located of the attribute data corresponding to the battery cell; the second-level statistical values ​​are the maximum value, minimum value, average value, range value, the location of the battery cluster where the maximum value is located, and the location of the battery cluster where the minimum value is located of the attribute data corresponding to the battery cluster.

3. The method for storing battery data in an energy storage power station according to claim 1, characterized in that: When storing the battery group data of the energy storage power station, the set interval for collecting the attribute data of the battery cell is set according to the energy storage PCS state. When the energy storage PCS state is charging or discharging, the set interval is small, and when the energy storage PCS state is neither charging nor discharging, the set interval is large.

4. The method for storing battery data in an energy storage power station according to claim 3, characterized in that: The strategy for setting the setting interval is: when the energy storage PCS is in a charging state, the larger the SOC is, the smaller the corresponding setting interval is; when the energy storage PCS is in a discharging state, the larger the SOC is, the larger the corresponding setting interval is.

5. The method for storing battery data in an energy storage power station according to claim 1, characterized in that: When the attribute data of the battery cells in the battery cluster do not meet the consistency, the attribute data of all the battery cells in the battery cluster are stored; when the attribute data of the battery clusters in the battery stack do not meet the consistency, the attribute data of all the battery clusters in the battery stack are stored.

6. The method for storing battery data in an energy storage power station according to any one of claims 1 to 5, characterized in that: Method for judging whether a battery cluster meets consistency: Calculate the range value based on the maximum and minimum values ​​corresponding to each attribute of the battery cells in the battery cluster. When the range value is within the consistency threshold range, it is judged that the consistency is met. When the range value exceeds the consistency threshold range, it is judged that the consistency is not met. Method for judging whether the battery stack meets the consistency: the range value is calculated based on the maximum and minimum values ​​corresponding to the attributes of the battery clusters in the battery stack. When the range value is within the consistency threshold range, it is judged that the consistency is met. When the range value exceeds the consistency threshold range, it is judged that the consistency is not met. The range value is equal to the maximum value minus the minimum value.

Images