Energy storage protection method and system of energy storage photovoltaic power station

Abstract

The invention discloses an energy storage protection method and system for an energy storage photovoltaic power station, and relates to the field of photovoltaic energy storage protection, and the method comprises the steps: obtaining the operation data of a previous energy storage photovoltaic power station, carrying out the feature extraction of the operation data of the previous energy storage photovoltaic power station, and obtaining an operation class group and an abnormal class group; acquiring deployment information of the photovoltaic power station, constructing a photovoltaic power station stereoscopic model in combination with the operation category groups and the abnormal category groups, and training the initial operation model of the photovoltaic power station by adopting a plurality of operation category groups to obtain a photovoltaic power station operation model; obtaining current operation data in real time, inputting the current operation data into the photovoltaic power station operation model for operation simulation, and evaluating a simulation result to obtain a simulation evaluation result; and performing energy storage protection on the energy storage photovoltaic power station according to a simulation evaluation result. According to the energy storage protection method of the energy storage photovoltaic power station, the operation condition of the photovoltaic electric field is monitored in real time, and the effect of accurate response and timely regulation and control is achieved under the abnormal condition.

Description

Technical Field

[0001] The present invention relates to the field of wind farm control prediction, and particularly to a energy storage protection method and system for a energy storage photovoltaic power station. Background Art

[0002] The energy storage protection technology of an energy storage photovoltaic power station is a key link to ensure the safe operation of a new energy system. Traditional energy storage protection technologies are centered around a battery management system (BMS), which realizes overcharge and over-discharge protection by monitoring the voltage, temperature, and state of charge (SOC) of individual cells, and is supplemented by traditional power protection devices such as fuses and relays to handle faults such as short circuits and overcurrents. However, with the expansion of energy storage scale and the highly dynamic characteristics of photovoltaic power output, existing technologies face multiple challenges.

[0003] Power system-level protection technologies lag behind energy storage requirements. The millisecond-level response speed of conventional fuses and circuit breakers cannot match the rapid charge and discharge switching of a power conversion system (PCS), and transient overcurrents are likely to damage equipment. Thermal management technologies mostly rely on passive cooling or single-threshold alarms, failing to achieve early warning and active intervention for thermal runaway, and the cumulative temperature difference between battery clusters may trigger cascading failures. In addition, the problem of parameter drift caused by battery aging and attenuation has not been effectively covered by existing protection strategies, and potential safety hazards intensify during long-term operation.

[0004] To solve these problems, there is an urgent need for an intelligent protection system for an energy storage photovoltaic power station with time-scale coordination and adaptive evolution, as well as an energy storage protection method and system. Summary of the Invention

[0005] To solve the above problems, the present application proposes an energy storage protection method and system for an energy storage photovoltaic power station.

[0006] An energy storage protection method for an energy storage photovoltaic power station includes the following steps: S1. Obtain the operation data of a past energy storage photovoltaic power station, extract features from the operation data of the past energy storage photovoltaic power station, and obtain an operation category group and an abnormal category group; S2. Obtain the deployment information of the photovoltaic power station, construct a three-dimensional model of the photovoltaic power station in combination with the operation category group and the abnormal category group, and use a number of operation category groups to train the initial operation model of the photovoltaic power station to obtain an operation model of the photovoltaic power station; S3. Obtain the current operation data in real time, input the current operation data into the operation model of the photovoltaic power station for operation simulation, and evaluate the simulation result to obtain a simulation evaluation result; S4. Perform energy storage protection on the energy storage photovoltaic power station according to the simulation evaluation result.

[0007] Preferably, the specific content of obtaining the operation data of the past energy storage photovoltaic power station in S1, extracting the features of the operation data of the past energy storage photovoltaic power station, and obtaining the operation category group and the abnormal category group is as follows: Screen and classify the operation data of the past energy storage photovoltaic power station to obtain operation data and abnormal data, and the operation data of the past energy storage photovoltaic power station is arranged based on the initial time series; Extract features from the data in the operation data and abnormal data respectively to obtain light characteristics, temperature characteristics, demand characteristics, and sensor characteristics; Extract the data in the operation category group and the abnormal category group according to the light characteristics, temperature characteristics, demand characteristics, and sensor characteristics to obtain a light data group, a temperature data group, a demand data group, and a sensor data group; Integrate the data in the light data group, the temperature data group, and the demand data group based on the initial time series to obtain several conditional data pairs; Based on the initial time series, organize the data in the sensor data group into result data pairs that match several conditional data pairs; Several of the conditional data pairs and the corresponding result data pairs constitute the operation category group and the abnormal category group; The abnormal category group is also configured with abnormal mitigation measures for corresponding abnormal situations.

[0008] Preferably, the specific content of obtaining the photovoltaic power station deployment information in S2 and constructing a three-dimensional model of the photovoltaic power station in combination with the operation category group and the abnormal category group is as follows: The photovoltaic power station deployment information includes equipment structure information, equipment location information, equipment production information, and sensor location information; Establish a blockchain, and store the data information in the equipment production information, the operation category group, and the abnormal category group into the blockchain to form a blockchain data pool; Establish a planar equipment site according to the equipment location information, and connect the planar equipment sites according to the equipment inspection route to generate a planar display diagram; Establish corresponding equipment three-dimensional models on the planar equipment sites according to the equipment structure information, and the equipment three-dimensional models include real-time simulation models and control models; Establish display windows on the outer contours of the equipment three-dimensional models according to the sensor location information and the equipment structure information corresponding to the sensor location; Define the equipment structure corresponding to the sensor location as the monitoring structure; Each equipment three-dimensional model is configured with 6 display windows for contour projection of different monitoring structures and presenting the original image test values of the monitoring structures.

[0009] Preferably, the specific content of the formation of the original image test value specifically includes: Trace the connection relationship of the monitoring structure in the device structure information to obtain the original associated structure of the monitoring structure; Screen the original associated structure according to different sensor characteristics to obtain the target associated structure under the corresponding sensor characteristics; Configure an influence coefficient for the sensor detection value on the target associated structure according to the influence relationship between the target associated structure and the monitoring structure under the sensor characteristics to obtain an associated influence value; Add the associated influence value to the sensor detection value of the monitoring structure to obtain the present image test value.

[0010] Preferably, the specific content of putting the current operation data into the photovoltaic power station operation model for operation simulation in S3 is as follows: Obtain the current operation data in real time, and identify the illumination data, temperature data, demand data and sensor data from the current operation data according to the illumination characteristics, temperature characteristics, demand characteristics and sensor characteristics; Match and fit the illumination data, temperature data and demand data in a number of conditional data pairs, and screen to obtain the current conditional data pair according to the data fitting situation; Substitute the current conditional data pair into the control model for simulation operation and intercept the figure presented in the display window of the control model to obtain a control display figure; Directly substitute the sensor data into the real-time simulation model for simulation operation and intercept the figure presented in the display window of the real-time simulation model to obtain a real-time display figure.

[0011] Preferably, the specific content of evaluating the simulation result to obtain the simulation evaluation result in S3 is as follows: Calculate the difference value between the real-time display figure and the control display figure by means of histogram comparison; Preset a difference value fluctuation range. If the difference value is within the fluctuation range, define the simulation evaluation result as normal operation; If the difference value is not within the fluctuation range, define the simulation evaluation result as abnormal operation.

[0012] Preferably, the specific content of performing energy storage protection on the energy storage photovoltaic power station according to the simulation evaluation result is as follows: If the simulation evaluation result is normal operation, record the current operation data into the blockchain data pool and monitor it in real time; If the simulation evaluation result is abnormal operation, take abnormal detection measures and trace the device production information; Preferably, the specific content of taking abnormal detection measures and tracing the device production information is as follows: Perform pixel-level direct comparison on the real-time display figure and the control display figure to obtain abnormal sites, and determine the sensor data of the current site; Preset a sensor anomaly range value, calculate the difference between the sensor data at the current site and the corresponding sensor data in the result data pair corresponding to the current condition data to obtain a sensor anomaly value; Determine whether the sensor anomaly value exceeds the sensor anomaly range value, and take anomaly mitigation measures.

[0013] Preferably, the specific content of determining whether the sensor anomaly value exceeds the sensor anomaly range value and taking anomaly mitigation measures is as follows: If the sensor anomaly value exceeds the sensor anomaly range value, match the current condition data pair in the anomaly category group to obtain the corresponding anomaly data pair, determine and execute the anomaly mitigation measures according to the anomaly data pair in the anomaly category group, and at the same time trace the equipment production information. If the equipment where the current site is located is close to the end of its life cycle, issue an alarm and replace the equipment; If the equipment where the current site is located is not close to the end of its life cycle, do not replace the equipment; If the sensor anomaly value does not exceed the sensor anomaly range value, trace the equipment production information of the equipment where the current site is located and the top 3 equipment with the highest associated impact value. If there is equipment close to the end of its life cycle among the equipment where the current site is located and the top 3 equipment with the highest associated impact value, issue an alarm and replace the equipment; If the equipment where the current site is located is not close to the end of its life cycle, do not replace the equipment.

[0014] An energy storage protection system for an energy storage photovoltaic power station, comprising: A data acquisition unit: obtain the operation data of the past energy storage photovoltaic power station, extract the characteristics of the operation data of the past energy storage photovoltaic power station, and obtain an operation category group and an anomaly category group; A model construction unit: obtain the photovoltaic power station deployment information, construct a three-dimensional model of the photovoltaic power station in combination with the operation category group and the anomaly category group, and train the initial operation model of the photovoltaic power station with a number of operation category groups to obtain an operation model of the photovoltaic power station; A model simulation unit: obtain the current operation data in real time, input the current operation data into the operation model of the photovoltaic power station for operation simulation, and evaluate the simulation result to obtain a simulation evaluation result; A strategy generation unit: perform energy storage protection on the energy storage photovoltaic power station according to the simulation evaluation result.

[0015] One or more technical solutions provided by this application at least have the following technical effects: The energy storage protection method of the energy storage photovoltaic power station is used to monitor the photovoltaic power plant in real time, and the method of establishing a model can accurately locate its abnormal sites for precise regulation, and at the same time trace the equipment life cycle, so as to replace the equipment, effectively maintaining the overall energy storage safety.

[0016] The technical method of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0017] Figure 1 It is a flowchart of the energy storage protection method for an energy storage photovoltaic power station of the present invention; Figure 2 It is a block diagram of the energy storage protection system for an energy storage photovoltaic power station of the present invention. Detailed Embodiments

[0018] The technical method of the present invention will be further described below with reference to the accompanying drawings and embodiments. It should be noted that: unless otherwise specifically stated, the relative arrangements, numerical expressions and values of the components and steps described in these embodiments do not limit the scope of the present application.

[0019] The description of at least one exemplary embodiment below is merely illustrative in nature and is in no way a limitation on the present application or its application or use.

[0020] Technologies, systems and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, systems and devices should be regarded as part of the specification.

[0021] In all the examples shown and discussed here, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0022] Unless otherwise defined, the technical terms or scientific terms used in the present invention shall have the ordinary meaning as understood by those of ordinary skill in the field to which the present invention pertains.

[0023] As Figure 1 shown, the present invention provides an energy storage protection method for an energy storage photovoltaic power station. S1: Obtain the operation data of past energy storage photovoltaic power stations, extract the characteristics of the operation data of past energy storage photovoltaic power stations, and obtain an operation category group and an abnormal category group.

[0024] Preferably, the specific content of obtaining the operation data of past energy storage photovoltaic power stations, extracting the characteristics of the operation data of past energy storage photovoltaic power stations, and obtaining an operation category group and an abnormal category group in S1 is as follows: Screen and classify the operation data of past energy storage photovoltaic power stations to obtain operation data and abnormal data, and the operation data of the past energy storage photovoltaic power stations is arranged based on the initial time series; It can be understood that the initial time series is the time series data in the past operation data.

[0025] Feature extraction is respectively performed on the data in the operation data and the abnormal data to obtain light characteristics, temperature characteristics, demand characteristics, and sensor characteristics.

[0026] Based on the light characteristics, temperature characteristics, demand characteristics, and sensor characteristics, the data in the operation category group and the abnormal category group are extracted to obtain a light data group, a temperature data group, a demand data group, and a sensor data group.

[0027] It can be understood that the sensor data group includes different types of sensor data.

[0028] Based on the initial time sequence, the data in the light data group, the temperature data group, and the demand data group are integrated to obtain a number of conditional data pairs.

[0029] Based on the initial time sequence, the data in the sensor data group is sorted to match the result data pairs of a number of conditional data pairs.

[0030] A number of the conditional data pairs and the corresponding result data pairs constitute the operation category group and the abnormal category group.

[0031] The abnormal category group is also configured with abnormal mitigation measures for corresponding abnormal situations.

[0032] S2. Obtain the deployment information of the photovoltaic power station, construct a three-dimensional model of the photovoltaic power station in combination with the operation category group and the abnormal category group, and use a number of operation category groups to train the initial operation model of the photovoltaic power station to obtain the operation model of the photovoltaic power station; Preferably, the specific content of obtaining the deployment information of the photovoltaic power station and constructing a three-dimensional model of the photovoltaic power station in combination with the operation category group and the abnormal category group in S2 is as follows: [[ID=;25]]The deployment information of the photovoltaic power station includes equipment structure information, equipment location information, equipment production information, and sensor location information; Create a blockchain, and store the data information in the equipment production information, the operation category group, and the abnormal category group into the blockchain to form a blockchain data pool; It can be understood that the blockchain enables data credibility and collaborative control. The data in the whole life cycle is uploaded to the chain, and key data such as battery production parameters (material batches, process records), operation data (charge and discharge curves, fault logs), and recycling information are written into the blockchain to form an immutable traceability chain.

[0033] Establish a plane equipment site according to the equipment location information, and connect the plane equipment sites according to the equipment inspection route to generate a plane display diagram; ;According to the equipment structure information, corresponding equipment three-dimensional models are respectively established on the plane equipment sites. The equipment three-dimensional models include a real-time simulation model and a control model; According to the sensor location information and the equipment structure information corresponding to the sensor location, a display window is established on the outer contour of the equipment three-dimensional model. Define the device structure corresponding to the sensor position as the monitoring structure; Each device three-dimensional model is configured with 6 display windows, which are used to project the contours of different monitoring structures and present the original test values of the monitoring structures.

[0034] It can be understood that the original test values are presented by means of color rendering. Similar to a cube having 6 faces, each device three-dimensional model is configured with 6 display windows, and the contours of different monitoring structures are projected on the 6 faces to prevent the situation of excessive overlap of structures on the same plane. Different sensor categories present different colors, and the contours of different structures can be projected on different display windows according to the actual situation.

[0035] Preferably, the formation content of the original test value specifically includes: Trace the connection relationship of the monitoring structure in the device structure information to obtain the original associated structure of the monitoring structure; Screen the original associated structure according to different sensor characteristics to obtain the target associated structure under the corresponding sensor characteristics; Configure an influence coefficient for the sensor detection value on the target associated structure according to the influence relationship between the target associated structure and the monitoring structure under the sensor characteristics to obtain an associated influence value; Add the associated influence value and the sensor detection value of the monitoring structure to obtain the original test value.

[0036] The expression of the original test value is: ; Wherein, is the original test value of the monitoring structure, is the sensor detection value of the monitoring structure, is the influence coefficient of the first target associated structure, is the sensor detection value of the first target associated structure, is the influence coefficient of the second target associated structure, is the sensor detection value of the second target associated structure, is the influence coefficient of the i-th target associated structure, is the sensor detection value of the i-th target associated structure.

[0037] It can be understood that the associated influence between different sensors is not considered here.

[0038] S3. Obtain the current operation data in real time, input the current operation data into the photovoltaic power station operation model for operation simulation, and evaluate the simulation result to obtain the simulation evaluation result; Preferably, the specific content of inputting the current operation data into the photovoltaic power station operation model for operation simulation in S3 is: Obtain the current running data in real time, and identify the current running data according to the lighting characteristics, temperature characteristics, demand characteristics and sensor characteristics to obtain lighting data, temperature data, demand data and sensor data; Match and fit the lighting data, temperature data, and demand data among several condition data pairs, and screen the current condition data pairs according to the data fitting situation; Substitute the current condition data pair into the control model for simulation operation, and intercept the figure presented in the display window of the control model to obtain a control display figure; Substitute the sensor data directly into the real-time simulation model for simulation operation, and intercept the figure presented in the display window of the real-time simulation model to obtain a real-time display figure.

[0039] Preferably, the specific content of evaluating the simulation result in S3 to obtain the simulation evaluation result is: Calculate the difference value between the real-time display figure and the control display figure by the method of histogram comparison; It can be understood that histogram comparison measures the global statistical difference by comparing the color histogram similarity of two pictures, and can quickly calculate the difference between two pictures.

[0040] Preset a difference value fluctuation range. If the difference value is within the fluctuation range, the simulation evaluation result is defined as normal operation; If the difference value is not within the fluctuation range, the simulation evaluation result is defined as abnormal operation.

[0041] S4. Perform energy storage protection on the energy storage photovoltaic power station according to the simulation evaluation result.

[0042] Preferably, the specific content of performing energy storage protection on the energy storage photovoltaic power station according to the simulation evaluation result is: If the simulation evaluation result is normal operation, record the current running data into the blockchain data pool and monitor it in real time; If the simulation evaluation result is abnormal operation, take abnormal detection measures and trace the equipment production information; Preferably, the specific content of taking abnormal detection measures and tracing the equipment production information is: Perform pixel-level direct comparison on the real-time display figure and the control display figure to obtain abnormal sites, and determine the sensor data of the current site; It can be understood that pixel-level direct comparison of the RGB (or other color spaces) values of two pictures calculates the statistical difference. Common indicators include mean square error (MSE), peak signal-to-noise ratio (PSNR), sum of absolute differences (SAD), and the calculation method is simpler and more intuitive, and is sensitive to accurate pixel matching.

[0043] A sensor anomaly range value is preset, and a sensor anomaly value is obtained by calculating the difference between the sensor data at the current point and the corresponding sensor data in the result data pair corresponding to the current condition data; Determine whether the sensor anomaly value exceeds the sensor anomaly range value, and take anomaly mitigation measures.

[0044] Preferably, the specific content of determining whether the sensor anomaly value exceeds the sensor anomaly range value and taking anomaly mitigation measures is as follows: If the sensor anomaly value exceeds the sensor anomaly range value, then match the current condition data pair in the anomaly category group to obtain the corresponding anomaly data pair, determine and execute the anomaly mitigation measures according to the anomaly data pair in the anomaly category group, and at the same time trace the equipment production information. If the equipment where the current point is located is close to the end of its life cycle, then give an alarm and replace the equipment; If the equipment where the current point is located is not close to the end of its life cycle, then do not replace the equipment; If the sensor anomaly value does not exceed the sensor anomaly range value, then trace the equipment production information of the equipment where the current point is located and the top 3 equipment with the highest associated impact value. If there is equipment close to the end of its life cycle among the equipment where the current point is located and the top 3 equipment with the highest associated impact value, then give an alarm and replace the equipment; If the equipment where the current point is located is not close to the end of its life cycle, then do not replace the equipment.

[0045] It can be understood that the anomaly data will also be included in the anomaly category group to provide a basis for subsequent equipment procurement screening, etc.

[0046] Such as Figure 2 shown, a energy storage protection system for an energy storage photovoltaic power station, comprising: Data acquisition unit: Obtain the operation data of the past energy storage photovoltaic power station, extract the characteristics of the operation data of the past energy storage photovoltaic power station and obtain the operation category group and the anomaly category group; Model construction unit: Obtain the photovoltaic power station deployment information, construct a three-dimensional model of the photovoltaic power station in combination with the operation category group and the anomaly category group, and train the initial operation model of the photovoltaic power station with a number of operation category groups to obtain the operation model of the photovoltaic power station; Model simulation unit: Real-time obtain the current operation data, input the current operation data into the operation model of the photovoltaic power station for operation simulation and evaluate the simulation result to obtain the simulation evaluation result; Strategy generation unit: Protect the energy storage of the energy storage photovoltaic power station according to the simulation evaluation result.

[0047] In summary, for the energy storage protection method and system of an energy storage photovoltaic power station according to the present invention, compared with the traditional technology, the energy storage protection method of the energy storage photovoltaic power station is used to monitor the photovoltaic power plant in real time, and the abnormal sites can be accurately located by means of model establishment for accurate regulation, and at the same time, the equipment life cycle is traced to replace the equipment, effectively maintaining the overall energy storage safety.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify or equivalently replace the technical method of the present invention, and these modifications or equivalent replacements do not enable the modified technical method to depart from the spirit and scope of the technical method of the present invention.

Claims

1. A energy storage protection method for an energy storage photovoltaic power station, characterized in that, It includes the following steps: S1. Obtain the operation data of past energy storage photovoltaic power stations, extract the features of the operation data of past energy storage photovoltaic power stations, and obtain an operation category group and an abnormal category group; S2. Obtain the deployment information of the photovoltaic power station, construct a three-dimensional model of the photovoltaic power station in combination with the operation category group and the abnormal category group, and use a number of operation category groups to train the initial operation model of the photovoltaic power station to obtain an operation model of the photovoltaic power station; S3. Obtain the current operation data in real time, input the current operation data into the operation model of the photovoltaic power station for operation simulation, and evaluate the simulation result to obtain a simulation evaluation result; S4. Carry out energy storage protection on the energy storage photovoltaic power station according to the simulation evaluation result.

2. The energy storage protection method of an energy storage photovoltaic power station according to claim 1, characterized in that The specific content of obtaining the operation data of past energy storage photovoltaic power stations in S1, extracting the features of the operation data of past energy storage photovoltaic power stations, and obtaining an operation category group and an abnormal category group is as follows: Screen and classify the operation data of past energy storage photovoltaic power stations to obtain operation data and abnormal data, and the operation data of past energy storage photovoltaic power stations is arranged based on the initial time series; Extract the features of the data in the operation data and abnormal data respectively to obtain illumination features, temperature features, demand features, and sensor features; Extract the data in the operation category group and the abnormal category group according to the illumination features, temperature features, demand features, and sensor features to obtain an illumination data group, a temperature data group, a demand data group, and a sensor data group; Integrate the data in the illumination data group, temperature data group, and demand data group based on the initial time series to obtain a number of conditional data pairs; Based on the initial time series, sort out the data in the sensor data group to obtain result data pairs that match a number of conditional data pairs; A number of the conditional data pairs and the corresponding result data pairs constitute an operation category group and an abnormal category group; The abnormal category group is also configured with abnormal mitigation measures for corresponding abnormal situations.

3. A energy storage protection method for an energy storage photovoltaic power station according to claim 2, characterized in that, The specific content of obtaining the deployment information of the photovoltaic power station in S2 and constructing a three-dimensional model of the photovoltaic power station in combination with the operation category group and the abnormal category group is as follows: The deployment information of the photovoltaic power station includes equipment structure information, equipment location information, equipment production information, and sensor location information; Establish a blockchain, and store the data information in the equipment production information, operation category group, and abnormal category group into the blockchain to form a blockchain data pool; Establish a plane equipment site according to the equipment location information, and connect the plane equipment sites according to the equipment inspection route to generate a plane display diagram; Establish corresponding equipment three-dimensional models on the plane equipment sites according to the equipment structure information, and the equipment three-dimensional models include a real-time simulation model and a control model; Establish display windows on the outer contour of the equipment three-dimensional model according to the sensor location information and the equipment structure information corresponding to the sensor location; Define the equipment structure corresponding to the sensor location as a monitoring structure; Each equipment three-dimensional model is configured with 6 display windows for contour projection of different monitoring structures and presenting the original image test values of the monitoring structures.

4. A energy storage protection method for an energy storage photovoltaic power station according to claim 3, characterized in that, The specific content of the formation of the original image test value is as follows: Trace the connection relationship of the monitoring structure in the equipment structure information to obtain the original associated structure of the monitoring structure; Screen the original association structure according to different sensor characteristics to obtain the target association structure under the corresponding sensor characteristics; Configure an influence coefficient for the sensor detection value on the target association structure according to the influence relationship between the target association structure and the monitoring structure under the sensor characteristics to obtain an association influence value; Add the association influence value to the sensor detection value of the monitoring structure to obtain the current image test value.

5. A method for energy storage protection of an energy storage photovoltaic power station according to claim 4, characterized in that, The specific content of inputting the current operation data into the photovoltaic power station operation model for operation simulation in S3 is: Obtain the current operation data in real time, and identify the current operation data according to the light characteristics, temperature characteristics, demand characteristics, and sensor characteristics to obtain light data, temperature data, demand data, and sensor data; Match and fit the light data, temperature data, and demand data in a number of condition data pairs, and screen the current condition data pairs according to the data fitting situation; Substitute the current condition data pair into the control model for simulation operation, and intercept the figure presented in the display window of the control model to obtain a control display figure; Directly substitute the sensor data into the real-time simulation model for simulation operation, and intercept the figure presented in the display window of the real-time simulation model to obtain a real-time display figure.

6. A method for energy storage protection of an energy storage photovoltaic power station according to claim 5, characterized in that, The specific content of evaluating the simulation result to obtain the simulation evaluation result in S3 is: Calculate the difference value between the real-time display figure and the control display figure by means of histogram comparison; Preset a difference value fluctuation range. If the difference value is within the fluctuation range, define the simulation evaluation result as normal operation; If the difference value is not within the fluctuation range, define the simulation evaluation result as abnormal operation.

7. A method for energy storage protection of an energy storage photovoltaic power station according to claim 4, characterized in that, The specific content of performing energy storage protection on the energy storage photovoltaic power station according to the simulation evaluation result is: If the simulation evaluation result is normal operation, record the current operation data into the blockchain data pool and monitor it in real time; If the simulation evaluation result is abnormal operation, take abnormal detection measures and trace the equipment production information.

8. A method for energy storage protection of an energy storage photovoltaic power station according to claim 7, characterized in that, The specific content of taking abnormal detection measures and tracing the equipment production information is: Perform a pixel-level direct comparison of the real-time display figure and the control display figure to obtain abnormal sites, and determine the sensor data of the current site; Preset a sensor abnormality range value, and calculate the difference between the sensor data of the current site and the corresponding sensor data in the result data pair corresponding to the current condition data pair to obtain a sensor abnormality value; Judge whether the sensor abnormality value exceeds the sensor abnormality range value, and take abnormal mitigation measures.

9. A method for energy storage protection of an energy storage photovoltaic power station according to claim 8, characterized in that, The specific content of judging whether the sensor abnormality value exceeds the sensor abnormality range value and taking abnormal mitigation measures is: If the sensor abnormality value exceeds the sensor abnormality range value, match the current condition data pair in the abnormal category group to obtain the corresponding abnormal data pair, determine and execute the abnormal mitigation measure according to the abnormal data pair in the abnormal category group, and at the same time trace the equipment production information. If the equipment where the current site is located is close to the end of its life cycle, issue an alarm and replace the equipment; If the equipment where the current site is located is not close to the end of its life cycle, do not replace the equipment; If the abnormal value of the sensor does not exceed the abnormal range value of the sensor, trace the production information of the device where the current site is located and the top 3 devices with the associated influence value. If there is a device close to the end of its life cycle among the device where the current site is located and the top 3 devices with the associated influence value, give an alarm and replace the device; If the device where the current site is located is not close to the end of its life cycle, do not replace the device.

10. A energy storage protection system for an energy storage photovoltaic power station, which is used to implement an energy storage protection method for an energy storage photovoltaic power station as described in any one of claims 1-9, characterized in that, Including: Data acquisition unit: Obtain the operation data of the past energy storage photovoltaic power station, extract the features of the operation data of the past energy storage photovoltaic power station, and obtain the operation category group and the abnormal category group; Model construction unit: Obtain the deployment information of the photovoltaic power station, construct a three-dimensional model of the photovoltaic power station in combination with the operation category group and the abnormal category group, and use a number of operation category groups to train the initial operation model of the photovoltaic power station to obtain the operation model of the photovoltaic power station; Model simulation unit: Obtain the current operation data in real time, input the current operation data into the operation model of the photovoltaic power station for operation simulation, and evaluate the simulation result to obtain the simulation evaluation result; Strategy generation unit: Protect the energy storage of the energy storage photovoltaic power station according to the simulation evaluation result.

Images