Energy storage power station health assessment system based on information fusion and assessment method thereof

Abstract

The invention belongs to the technical field of electric power energy storage, and particularly relates to an energy storage power station health assessment system based on information fusion and an assessment method thereof. In order to solve the problem that in the prior art, when the health state of an energy storage power station is evaluated, only the operation state is evaluated, and consequently the evaluation result is inaccurate, the method comprises the steps that operation information and alarm information of the energy storage power station are selected, and weights and scoring standards of indexes of the two types of information are determined respectively and evaluated; finally, information fusion is carried out on the two evaluation results, the health state of the energy storage power station can be accurately evaluated, the method can be used for evaluating the health state of the energy storage power station online in real time, comprehensive evaluation is more accurate, and the method has guiding significance in early fault early warning of the power station.

Description

Technical Field

[0001] The invention belongs to the technical field of electric energy storage, and particularly relates to a health assessment system for an energy storage power station based on information fusion and an assessment method thereof. Background Art

[0002] With the development of energy storage technology, the scale of energy storage power stations is getting larger and larger. For maintenance personnel, the workload of overhauling energy storage power stations has also increased accordingly. Therefore, it is particularly important to evaluate and predict the health status of energy storage power stations so that maintenance personnel can monitor the status of each device in the energy storage power station and perform repairs in advance.

[0003] The Chinese patent application with the publication number CN116559684A discloses a monitoring and evaluation system for the operation status of a large-scale battery energy storage power station. The system includes an energy storage power station monitoring module, an energy storage battery charging quality evaluation module, an energy storage battery discharging quality evaluation module, an energy storage battery operation safety analysis module, an energy storage battery appearance defect analysis module, an energy storage battery health status evaluation module, an early warning terminal, and a cloud database. By comprehensively analyzing the discharging quality evaluation coefficient corresponding to the energy storage battery, the operation safety of the energy storage battery is analyzed to ensure the accuracy of the analysis of the health evaluation coefficient of the energy storage battery, and to improve the charge and discharge efficiency of the battery energy storage power station to a certain extent. However, this application only evaluates the health of the energy storage battery and only considers the operation status, resulting in relatively one-sided evaluation results and inaccurate evaluation results. Summary of the Invention

[0004] The purpose of the invention is to provide a health assessment system for an energy storage power station based on information fusion and an assessment method thereof, so as to solve the problem that the existing technology only evaluates the operation status when evaluating the health status of the energy storage power station, resulting in inaccurate evaluation results.

[0005] To solve the above technical problems, the invention provides a health assessment method for an energy storage power station based on information fusion, including the following steps:

[0006] 1) Select several different types of information that can reflect the health status of the energy storage power station from the operation information and alarm information of the energy storage power station, respectively select indicators that can reflect the status level of each type of information from the type information of the operation information and the type information of the alarm information, and obtain the data of each indicator;

[0007] 2) Obtain the evaluation results of each index according to the data of each index and the set scoring criteria, and then combine the weight coefficients of each index to perform weighted summation on the evaluation results of each index of the energy storage power station operation information to obtain the overall evaluation result of the energy storage power station operation information, and perform weighted summation on the evaluation results of each index of the energy storage power station alarm information to obtain the overall evaluation result of the energy storage power station alarm information; perform weighted summation on the overall evaluation result of the energy storage power station operation information and the overall evaluation result of the energy storage power station alarm information according to the respective overall weights of the set operation information and alarm information to obtain the comprehensive health evaluation result of the energy storage power station.

[0008] The beneficial effects are as follows: To solve the problem that the prior art only evaluates the operating state when evaluating the health state of the energy storage power station, resulting in inaccurate evaluation results. The present invention is an improved invention. It selects the operation information and alarm information of the energy storage power station, determines the weight and scoring criteria of each index of the two types of information respectively and conducts evaluations, and finally fuses the two evaluation results, which can accurately evaluate the health state of the energy storage power station. The present invention can be used for real-time online evaluation of the health state of the energy storage power station, and the comprehensive evaluation is more accurate, which has guiding significance for early fault warning of the power station.

[0009] Further, the type information in the energy storage power station operation information includes type information of charge and discharge capacity, type information of energy efficiency level, and type information of equipment operation state.

[0010] The beneficial effects are as follows: First, it determines the general direction reflecting the operation information of the energy storage power station, which is beneficial to subsequent selection of each index of the operation information and makes the comprehensive evaluation result of the energy storage power station more accurate.

[0011] Further, the type information in the energy storage power station alarm information includes type information of power station fault alarm times and type information of power station abnormal alarm times.

[0012] The beneficial effects are as follows: First, it determines the general direction reflecting the alarm information of the energy storage power station, which is beneficial to subsequent selection of each index of the alarm information and makes the comprehensive evaluation result of the energy storage power station more accurate.

[0013] Further, the selected indicators in the type information of charge and discharge capacity include: actual dischargeable power and actual dischargeable capacity.

[0014] The beneficial effects are as follows: It is beneficial to reflect the true charge and discharge capacity of the energy storage power station, is beneficial to real-time online evaluation of the health state of the energy storage power station, and makes the comprehensive evaluation more accurate.

[0015] Further, the selected indicators in the type information of energy efficiency level include: power station comprehensive efficiency, energy storage loss rate, station power consumption rate, and dispatching response success rate.

[0016] The beneficial effects are as follows: it is conducive to reflecting the true energy efficiency level of the energy storage power station, conducive to real-time online assessment of the health status of the energy storage power station, and conducive to making the comprehensive assessment more accurate.

[0017] Further, the indicators selected from the type information of the equipment operation status include: equivalent utilization factor, unplanned outage factor, and available factor. Among them, the equivalent utilization factor refers to the ratio of the outage time of each energy storage unit to the statistical time within the statistical evaluation period; the unplanned outage factor refers to the ratio of the unplanned outage time of the energy storage power station to the statistical time within the evaluation period; the available factor refers to the ratio of the available time of the power station to the statistical time within the evaluation period.

[0018] The beneficial effects are as follows: it is conducive to reflecting the true equipment operation status of the energy storage power station, conducive to real-time online assessment of the health status of the energy storage power station, and conducive to making the comprehensive assessment more accurate.

[0019] Further, the indicators selected from the type information of the power station fault alarm times include: battery fault alarm times, PCS fault alarm times, fire protection fault alarm times, transformer accident alarm times, and branch fault alarm times.

[0020] The beneficial effects are as follows: Selecting the indicators of the fault alarm times that can reflect the alarm information of the energy storage power station is conducive to reflecting the fault alarm situation of the energy storage power station, conducive to discovering the faults of the energy storage power station in advance, has guiding significance for early fault warning of the power station, and further improves the accuracy of the assessment results.

[0021] Further, the indicators selected from the type information of the power station abnormal alarm times include: battery abnormal alarm times, PCS abnormal alarm times, fire protection abnormal alarm times, transformer abnormal alarm times, and branch abnormal alarm times.

[0022] The beneficial effects are as follows: it is conducive to reflecting the abnormal alarm situation of the energy storage power station, conducive to discovering the abnormal equipment of the energy storage power station in advance, further improves the accuracy of the assessment results, and ensures the stable operation of the power station.

[0023] To solve the above technical problems, the present invention also provides a health assessment system for an energy storage power station based on information fusion, including a memory and a processor. The processor is used to execute computer program instructions stored in the memory to implement a method introduced above.

[0024] The beneficial effects are as follows: This device ensures the effective and reliable execution of a health assessment method for an energy storage power station based on information fusion.

[0025] Further, the type information in the operation information of the energy storage power station includes type information of charge and discharge capacity, type information of energy efficiency level, and type information of equipment operation status.

[0026] Its beneficial effects are as follows: First, it determines the general direction reflecting the operation information of the energy storage power station, which is beneficial to subsequent selection of various indicators of the operation information and makes the result of the comprehensive evaluation of the energy storage power station more accurate.

[0027] Furthermore, the type information in the alarm information of the energy storage power station includes the type information of the number of power station fault alarms and the type information of the number of power station abnormal alarms.

[0028] Its beneficial effects are as follows: First, it determines the general direction reflecting the alarm information of the energy storage power station, which is beneficial to subsequent selection of various indicators of the alarm information and makes the result of the comprehensive evaluation of the energy storage power station more accurate.

[0029] Furthermore, the indicators selected from the type information of the charge and discharge capacity include: the actual dischargeable power and the actual dischargeable capacity.

[0030] Its beneficial effects are as follows: It is beneficial to reflect the true charge and discharge capacity of the energy storage power station, is beneficial to real-time online assessment of the health status of the energy storage power station, and is beneficial to making the comprehensive evaluation more accurate.

[0031] Furthermore, the indicators selected from the type information of the energy efficiency level include: the comprehensive efficiency of the power station, the energy storage loss rate, the station power consumption rate, and the dispatching response success rate.

[0032] Its beneficial effects are as follows: It is beneficial to reflect the true energy efficiency level of the energy storage power station, is beneficial to real-time online assessment of the health status of the energy storage power station, and is beneficial to making the comprehensive evaluation more accurate.

[0033] Furthermore, the indicators selected from the type information of the equipment operation status include: the equivalent utilization factor, the unplanned outage factor, and the available factor. Among them, the equivalent utilization factor refers to the ratio of the outage time of each energy storage unit to the statistical time within the statistical evaluation period; the unplanned outage factor refers to the ratio of the unplanned outage time of the energy storage power station to the statistical time within the evaluation period; the available factor refers to the ratio of the available time of the power station to the statistical time within the evaluation period.

[0034] Its beneficial effects are as follows: It is beneficial to reflect the true equipment operation status of the energy storage power station, is beneficial to real-time online assessment of the health status of the energy storage power station, and is beneficial to making the comprehensive evaluation more accurate.

[0035] Furthermore, the indicators selected from the type information of the number of power station fault alarms include: the number of battery fault alarms, the number of PCS fault alarms, the number of fire protection fault alarms, the number of transformer accident alarms, and the number of branch fault alarms.

[0036] Its beneficial effects are as follows: Selecting the indicators that can reflect the number of fault alarms in the alarm information of the energy storage power station is conducive to reflecting the fault alarm situation of the energy storage power station, facilitating the early detection of faults in the energy storage power station, guiding the early fault warning of the power station, and further improving the accuracy of the evaluation results.

[0037] Furthermore, the indicators selected from the information on the types of abnormal alarm times in the power station include: the number of battery abnormal alarms, the number of PCS abnormal alarms, the number of fire protection abnormal alarms, the number of transformer abnormal alarms, and the number of branch abnormal alarms.

[0038] Its beneficial effects are as follows: It is conducive to reflecting the abnormal alarm situation of the energy storage power station, facilitating the early detection of abnormal equipment in the energy storage power station, further improving the accuracy of the evaluation results, and ensuring the stable operation of the power station. Description of the Drawings

[0039] Figure 1 is the method flow chart of this embodiment. Detailed Implementation Manner

[0040] The basic concept of the present invention is as follows: The present invention first determines the type information of the operation information and alarm information of the energy storage power station, then selects the information corresponding to each type of information that can reflect its own state level as indicators, formulates the weights and scoring criteria for the indicators of the operation information and alarm information, evaluates the operation information and alarm information respectively, and fuses the two evaluation results according to the overall weights of the operation information and alarm information respectively to obtain the comprehensive health evaluation result of the energy storage power station. Based on this concept, a health evaluation system and its evaluation method for an energy storage power station based on information fusion of the present invention can be realized.

[0041] The present invention will be described in detail below in conjunction with the drawings and method embodiments.

[0042] Method Embodiment:

[0043] A health evaluation method for an energy storage power station based on information fusion of the present invention, the flow chart is as Figure 1 shown, and its specific steps include:

[0044] Step 1, select the criterion layer (type information) of the operation information and alarm information of the energy storage power station.

[0045] Select the charge and discharge capacity, energy efficiency level, and equipment operation status as the criterion layer of the operation information of the energy storage power station; select the number of power station fault alarms and the number of power station abnormal alarms as the criterion layer of the alarm information of the energy storage power station.

[0046] Step 2, select the index layer of the operation information and alarm information of the energy storage power station according to the criterion layer, and determine the weight of each index.

[0047] According to the criterion layer of the above energy storage power station operation information and alarm information, select the index layer that can represent the state of each type of information in the criterion layer. Among them, the selected indicators representing charge and discharge capabilities include the actual dischargeable power and the actual dischargeable capacity; the selected indicators representing the energy efficiency level include the comprehensive efficiency of the power station, the energy storage loss rate, the station power consumption rate, and the dispatching response success rate; the selected indicators representing the operating state of equipment include the equivalent utilization factor, the unplanned outage factor, and the available factor. Among them, the equivalent utilization factor refers to the ratio of the outage time of each energy storage unit to the statistical time within the statistical evaluation period; the unplanned outage factor refers to the ratio of the unplanned outage time of the energy storage power station to the statistical time within the evaluation period; the available factor refers to the ratio of the available time of the power station to the statistical time within the evaluation period.

[0048] The selected indicators representing the number of power station fault alarms include: the number of battery fault alarms, the number of PCS fault alarms, the number of fire fault alarms, the number of transformer accident alarms, and the number of branch fault alarms; the selected indicators representing the number of power station abnormal alarms include: the number of battery abnormal alarms, the number of PCS abnormal alarms, the number of fire abnormal alarms, the number of transformer abnormal alarms, and the number of branch abnormal alarms.

[0049] Determine the weights of each indicator of the energy storage power station operation information and alarm information, and put the weights of each indicator into the expert database that supports the resetting of the weight coefficient; after putting the indicators and their weights of the operation information and alarm information into the expert database, it is shown in Table 1 below:

[0050] Table 1

[0051]

[0052]

[0053] Step 3: Develop the scoring criteria for each indicator of the energy storage power station operation information and alarm information and put them into the expert database, and evaluate the operation information and alarm information separately.

[0054] Develop the scoring criteria for each indicator of the operation information and put the scoring criteria into the expert database that supports the modification of the scoring criteria; develop the scoring criteria for each indicator of the alarm information and put the scoring criteria into the expert database that supports the modification of the scoring criteria; the scoring criteria for each indicator are shown in Table 2 below:

[0055] Table 2

[0056]

[0057]

[0058] Score each indicator according to the above operation information and the scoring criteria of each indicator in the alarm information, and then perform weighted summation on the scores of each indicator in the operation information according to the weight coefficients of each indicator and perform weighted summation on the scores of each indicator in the alarm information to respectively obtain the evaluation results of the energy storage power station based on the operation information and the alarm information.

[0059] Step 4: Based on the expert database and according to the overall weights of the operation information and the alarm information of the energy storage power station respectively, perform weighted summation on the evaluation results of the operation information of the energy storage power station and the evaluation results of the alarm information of the energy storage power station to obtain the comprehensive evaluation result of the health status of the energy storage power station; wherein, the proportion of the overall weights of the operation information and the alarm information of the energy storage power station respectively satisfies Table 3 below:

[0060] Table 3

[0061] Indicator Classification ID Substation Type Indicator Type Name Evaluation Conclusion Includes Grade Automatic Evaluation Interval (days) Weight 1 1 Operating Indicator 4 1 0.5 2 1 Alarm Indicator 4 1 0.5

[0062] The present invention selects the operation information and alarm information of the energy storage power station, determines the weight and scoring criteria of the two types of information indicators respectively, and finally performs information fusion, which can accurately evaluate the health status of the energy storage power station. The present invention can be used for real-time online evaluation of the health status of the energy storage power station, with accurate scoring and guiding significance for early fault warning of the power station.

[0063] System embodiment:

[0064] A health assessment system for an energy storage power station based on information fusion according to the present invention includes a memory and a processor. The processor is used to execute computer program instructions stored in the memory to implement a health assessment method for an energy storage power station based on information fusion introduced in the method embodiment of the present invention. Among them, the processor can be a processing device such as a programmable logic device FPGA. The memory can be various memories that store information in the form of electric energy, such as RAM, ROM, etc., and can also be memories in other forms.

Claims

1. A health assessment method for an energy storage power station based on information fusion, characterized in that, it includes the following steps: 1) Select several different types of information that can reflect the health status of the energy storage power station from the operation information and alarm information of the energy storage power station, and select indicators that can reflect the status level of each type of information from the type information of the operation information and the type information of the alarm information respectively, and obtain the data of each indicator; 2) Obtain the evaluation results of each indicator according to the data of each indicator and the set scoring criteria, and then combine the weight coefficients of each indicator to perform weighted summation on the evaluation results of each indicator of the operation information of the energy storage power station to obtain the overall evaluation result of the operation information of the energy storage power station, and perform weighted summation on the evaluation results of each indicator of the alarm information of the energy storage power station to obtain the overall evaluation result of the alarm information of the energy storage power station; According to the set overall weights of the operation information and the alarm information respectively, perform weighted summation on the overall evaluation result of the operation information of the energy storage power station and the overall evaluation result of the alarm information of the energy storage power station to obtain the comprehensive health evaluation result of the energy storage power station.

2. The health assessment method for an energy storage power station based on information fusion according to claim 1, characterized in that, the type information in the operation information of the energy storage power station includes the type information of charge and discharge capacity, the type information of energy efficiency level, and the type information of equipment operation status.

3. The health assessment method for an energy storage power station based on information fusion according to claim 1, characterized in that, the type information in the alarm information of the energy storage power station includes the type information of the number of power station fault alarms and the type information of the number of power station abnormal alarms.

4. The health assessment method for an energy storage power station based on information fusion according to claim 2, characterized in that, the indicators selected from the type information of charge and discharge capacity include: actual dischargeable power and actual dischargeable capacity.

5. The health assessment method for an energy storage power station based on information fusion according to claim 2, characterized in that, the indicators selected from the type information of energy efficiency level include: power station comprehensive efficiency, energy storage loss rate, station power consumption rate, and dispatching response success rate.

6. The health assessment method for an energy storage power station based on information fusion according to claim 2, characterized in that, the indicators selected from the type information of equipment operation status include: equivalent utilization factor, unplanned outage factor, and available factor, where the equivalent utilization factor is the ratio of the outage time of each energy storage unit to the statistical time within the statistical evaluation period; the unplanned outage factor is the ratio of the unplanned outage time of the energy storage power station to the statistical time within the evaluation period; the available factor is the ratio of the available time of the power station to the statistical time within the evaluation period.

7. The health assessment method for an energy storage power station based on information fusion according to claim 3, characterized in that, the indicators selected from the type information of the number of power station fault alarms include: the number of battery fault alarms, the number of PCS fault alarms, the number of fire protection fault alarms, the number of transformer accident alarms, and the number of branch fault alarms.

8. The health assessment method for an energy storage power station based on information fusion according to claim 3, characterized in that, The indicators selected from the power station abnormal alarm frequency type information include: the number of battery abnormal alarms, the number of PCS abnormal alarms, the number of fire protection abnormal alarms, the number of transformer abnormal alarms, and the number of branch abnormal alarms.

9. A health assessment system for an energy storage power station based on information fusion, characterized in that it includes a memory and a processor, and the processor is used to execute computer program instructions stored in the memory to implement the information fusion-based health assessment method for an energy storage power station according to any one of claims 1-8.

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