A photovoltaic energy storage system for a fishpond aerator

Abstract

The present invention belongs to the technical field of photovoltaic energy storage, and provides a photovoltaic energy storage system for a fish pond aerator, comprising: a photovoltaic energy storage power grid construction module for constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components; a photovoltaic energy storage power generation control module for controlling the power generation of the photovoltaic energy storage power grid; and a photovoltaic energy storage power generation monitoring module for monitoring the power generation of the photovoltaic energy storage power grid. By constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components, controlling the power generation of the photovoltaic energy storage power grid, and monitoring the power generation of the photovoltaic energy storage power grid, the present invention can improve the utilization efficiency of photovoltaic energy storage networking and the usage efficiency of the fish pond aerator.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic energy storage, and particularly to a photovoltaic energy storage system for a fish pond aerator. Background Art

[0002] Currently, in artificially cultured fish ponds, by using aerators, the dissolved oxygen balance in water can be improved, water flow circulation can be increased, the water ecological environment can be improved, water quality can be purified, the occurrence of diseases and pests can be reduced, and the growth of fish and other organisms in water can be promoted.

[0003] Most of the existing aeration in life is impeller aeration, which is powered by connecting to the mains electricity; since the aerator needs to work continuously, the cost generated by power consumption is high, and in the case of power outage, it will also affect the operation of the aerator, and even affect the normal aquaculture of the fish pond.

[0004] Therefore, it is necessary to provide a photovoltaic energy storage system for a fish pond aerator. Summary of the Invention

[0005] The present invention provides a photovoltaic energy storage system for a fish pond aerator. By constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components, controlling the power generation of the photovoltaic energy storage power grid, and monitoring the power generation of the photovoltaic energy storage power grid, the utilization efficiency of the photovoltaic energy storage network can be improved, and the utilization efficiency of the fish pond aerator can be improved.

[0006] The present invention provides a photovoltaic energy storage system for a fish pond aerator, including:

[0007] A photovoltaic energy storage power grid construction module for constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components;

[0008] A photovoltaic energy storage power generation control module for controlling the power generation of the photovoltaic energy storage power grid;

[0009] A photovoltaic energy storage power generation monitoring module for monitoring the power generation of the photovoltaic energy storage power grid.

[0010] Further, constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components includes:

[0011] Obtaining photovoltaic energy storage components; the photovoltaic energy storage components include photovoltaic panels, energy storage inverters, smart meters, load devices, and energy storage batteries; the smart meter can achieve the anti-backflow function, detect the grid-connected point current in real time, and transmit it to the inverter through RS485 serial communication. The inverter dynamically adjusts its own output to ensure that no power is sent to the grid; the energy storage battery is a lithium battery pack or a lead-acid battery;

[0012] Based on the photovoltaic energy storage components, a photovoltaic energy storage power grid is constructed.

[0013] Further, constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components includes:

[0014] Connect the photovoltaic panel to the energy storage inverter, and connect the energy storage inverter to the smart meter, the load device and the energy storage battery respectively to construct a photovoltaic energy storage power grid.

[0015] Furthermore, controlling the power generation of the photovoltaic energy storage power grid includes:

[0016] Set the working modes of power generation and power consumption;

[0017] Control the power generation of the photovoltaic energy storage power grid based on the working mode.

[0018] Furthermore, setting the working modes of power generation and power consumption includes:

[0019] Set the self-consumption working mode; the self-consumption working mode is: the electricity generated by the photovoltaic panel is first supplied to the load for use. If the power generation power of the photovoltaic panel is greater than the power of the load device, the remaining electricity generated by the photovoltaic panel is charged into the battery; if the power generation power of the photovoltaic panel is greater than the power of the load device and the energy storage battery is fully charged, the remaining electric energy generated by the photovoltaic panel is sent to the power grid; if the power generation power of the photovoltaic panel is less than the power of the load device, the energy storage inverter discharges the energy storage battery to supply power to the load device. When the sum of the power generation power of the photovoltaic panel and the discharge power of the energy storage battery is less than the power of the load device, the energy storage inverter purchases electricity from the power grid to supply power to the load device; the energy storage inverter automatically charges and discharges the energy storage battery.

[0020] Set the time-of-use electricity price working mode; the time-of-use electricity price working mode is: charge the energy storage battery during the low electricity consumption period or the low electricity price period, discharge the energy storage battery during the high electricity consumption period, and the energy storage inverter works in the self-consumption mode during the remaining time periods.

[0021] Set the timed charging working mode; the timed charging working mode is: set the charging time period and the discharging time period of the energy storage battery, and the energy storage inverter works in the self-consumption mode during the remaining time periods.

[0022] Set the off-grid working mode; the off-grid working mode is: in the case of no mains power or power outage of the mains power, when the power of the load device is less than the power generation power of the photovoltaic panel, the remaining electric energy is used to charge the energy storage battery, and when the power of the load device is greater than the power generation power of the photovoltaic panel, the energy storage inverter discharges the energy storage battery to supply power to the load device.

[0023] Furthermore, the self-consumption working mode also includes: if the power generation power of the photovoltaic panel is greater than the load power and the battery is fully charged, the inverter reduces the power output to prevent the remaining electricity generated by the photovoltaic panel from being sent to the power grid.

[0024] Furthermore, controlling the power generation of the photovoltaic energy storage power grid based on the working mode includes:

[0025] Select a working mode from the set working modes as the initial working mode, and use the initial working mode to control the power generation of the photovoltaic energy storage power grid.

[0026] Set the trigger condition for working mode conversion.

[0027] Judge whether the power supply situation of the fish pond aerator, the power generation power of the photovoltaic panel, and the power of the load equipment meet the trigger conditions; if the trigger conditions are met, convert the initial working mode to the target working mode to be converted.

[0028] Use the target working mode to be converted to control the power generation of the photovoltaic energy storage power grid.

[0029] Furthermore, the photovoltaic energy storage power generation monitoring module includes a monitoring platform building unit and a monitoring implementation unit;

[0030] The monitoring platform building unit is used to build a photovoltaic energy storage power generation and electricity consumption monitoring management platform based on the cloud platform.

[0031] The monitoring implementation unit is used to monitor the process of photovoltaic energy storage power generation and electricity consumption based on the photovoltaic energy storage power generation and electricity consumption monitoring management platform.

[0032] Furthermore, the monitoring implementation unit also includes a monitoring data display unit; the monitoring data display unit is used to display the monitoring data on the computer side and the mobile phone side respectively based on the photovoltaic energy storage power generation and electricity consumption monitoring management platform and the set App monitoring program.

[0033] Furthermore, monitoring the process of photovoltaic energy storage power generation and electricity consumption based on the photovoltaic energy storage power generation and electricity consumption monitoring management platform includes:

[0034] Collect the working state data of the energy storage inverter based on the network acquisition device and send the working state data to the photovoltaic energy storage power generation and electricity consumption monitoring management platform;

[0035] Analyze the working state data of the energy storage inverter based on the data analysis model in the photovoltaic energy storage power generation and electricity consumption monitoring management platform to obtain a number of analysis results;

[0036] Use the abnormal data analysis model to analyze the abnormality degree of the analysis results to determine the abnormal working state data of the inverter;

[0037] According to the constructed abnormal working state traceability analysis model, conduct a traceability analysis on the working mode corresponding to the abnormal working state data to obtain a traceability analysis result; among them, the abnormal working state traceability analysis model is constructed based on the output data of the SVM network model input into the LSTM network model;

[0038] Obtain the corresponding target working mode according to the traceability analysis result;

[0039] Based on the AI model, generate adjustment suggestions for the working duration of the energy storage inverter in the target working mode;

[0040] Use the working status data, analysis results, abnormal working status data, traceability analysis results, and adjustment suggestions as part of the monitoring data, and display the monitoring data on the computer side and the mobile phone side.

[0041] Compared with the prior art, the present invention has the following advantages and beneficial effects: By constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components, controlling the power generation of the photovoltaic energy storage power grid, and monitoring the power generation of the photovoltaic energy storage power grid, the utilization efficiency of the photovoltaic energy storage network can be improved, and the use efficiency of the fish pond aerator can be improved.

[0042] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structure specifically pointed out in the written specification and the drawings.

[0043] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. Brief Description of the Drawings

[0044] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0045] Figure 1 It is a schematic structural diagram of a photovoltaic energy storage system for a fish pond aerator;

[0046] Figure 2 It is a schematic diagram of the method steps for constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components;

[0047] Figure 3 It is a schematic structural diagram of a photovoltaic energy storage power generation monitoring module. Detailed Description of the Preferred Embodiments

[0048] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0049] The present invention provides a photovoltaic energy storage system for a fish pond aerator, as Figure 1 shown, including:

[0050] A photovoltaic energy storage power grid construction module for constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components;

[0051] Photovoltaic energy storage power generation control module, used to control the power generation of the photovoltaic energy storage power grid;

[0052] Photovoltaic energy storage power generation monitoring module, used to monitor the power generation of the photovoltaic energy storage power grid.

[0053] The working principle of the above technical solution is: In order to implement a photovoltaic energy storage system for a fish pond aerator, the present invention proposes a photovoltaic energy storage power grid construction module to construct a photovoltaic energy storage power grid based on photovoltaic energy storage components; a photovoltaic energy storage power generation control module to control the power generation of the photovoltaic energy storage power grid; and a photovoltaic energy storage power generation monitoring module to monitor the power generation of the photovoltaic energy storage power grid.

[0054] The beneficial effect of the above technical solution is: By adopting the solution provided in this embodiment, by constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components, controlling the power generation of the photovoltaic energy storage power grid, and monitoring the power generation of the photovoltaic energy storage power grid, the utilization efficiency of the photovoltaic energy storage network can be improved, and the usage efficiency of the fish pond aerator can be improved.

[0055] In one embodiment, as Figure 2 shown, constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components includes:

[0056] Obtain photovoltaic energy storage components; the photovoltaic energy storage components include a photovoltaic panel, an energy storage inverter, a smart meter, a load device, and an energy storage battery; the smart meter can implement an anti-backflow function, detect the grid connection point current in real time, and transmit it to the inverter through RS485 serial communication. The inverter dynamically adjusts its own output to ensure that no power is sent to the power grid; the energy storage battery is a lithium battery pack or a lead-acid battery;

[0057] Based on the photovoltaic energy storage components, construct a photovoltaic energy storage power grid.

[0058] The working principle of the above technical solution is: In order to construct a photovoltaic energy storage power grid based on photovoltaic energy storage components, the present invention proposes to first obtain photovoltaic energy storage components; the photovoltaic energy storage components include a photovoltaic panel, an energy storage inverter, a smart meter, a load device, and an energy storage battery; the smart meter can implement an anti-backflow function, detect the grid connection point current in real time, and transmit it to the inverter through RS485 serial communication. The inverter dynamically adjusts its own output to ensure that no power is sent to the power grid; the energy storage battery is a lithium battery pack or a lead-acid battery; then, based on the photovoltaic energy storage components, construct a photovoltaic energy storage power grid.

[0059] The beneficial effect of the above technical solution is: By adopting the solution provided in this embodiment, by constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components, it can provide a basis for the function of the photovoltaic energy storage power grid to play.

[0060] In one embodiment, constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components includes:

[0061] Connect the photovoltaic panel to the energy storage inverter, and connect the energy storage inverter to the smart meter, load device and energy storage battery respectively to construct a photovoltaic energy storage power grid.

[0062] The working principle of the above technical solution is: In order to construct a photovoltaic energy storage power grid based on photovoltaic energy storage components, the present invention connects the photovoltaic panel to the energy storage inverter, and connects the energy storage inverter to the smart meter, load device and energy storage battery respectively to construct a photovoltaic energy storage power grid.

[0063] The beneficial effect of the above technical solution is: By using the solution provided in this embodiment, by connecting the photovoltaic panel, energy storage inverter, smart meter, load device and energy storage battery, it provides a basis for the construction of a photovoltaic energy storage power grid.

[0064] In one embodiment, controlling the power generation of the photovoltaic energy storage power grid includes:

[0065] Set the working modes of power generation and power consumption;

[0066] Control the power generation of the photovoltaic energy storage power grid based on the working mode.

[0067] The working principle of the above technical solution is: In order to realize the control of the power generation of the photovoltaic energy storage power grid, the present invention first sets the working modes of power generation and power consumption, and then controls the power generation of the photovoltaic energy storage power grid based on the working mode.

[0068] The beneficial effect of the above technical solution is: By using the solution provided in this embodiment, by setting the working modes of power generation and power consumption and controlling the power generation of the photovoltaic energy storage power grid based on the working mode, the power generation efficiency of the photovoltaic energy storage power grid can be guaranteed.

[0069] In one embodiment, setting the working modes of power generation and power consumption includes:

[0070] Set the working mode of self-consumption; The working mode of self-consumption is: The electricity generated by the photovoltaic panel is first used by the load. If the power generation power of the photovoltaic panel is greater than the power of the load device, the remaining electricity generated by the photovoltaic panel is charged into the battery; If the power generation power of the photovoltaic panel is greater than the power of the load device and the energy storage battery is full, the remaining electric energy generated by the photovoltaic panel is sent to the power grid; If the power generation power of the photovoltaic panel is less than the power of the load device, the energy storage inverter discharges the energy storage battery to supply power to the load device. When the sum of the power generation power of the photovoltaic panel and the discharge power of the energy storage battery is less than the power of the load device, the energy storage inverter purchases electricity from the power grid to supply power to the load device; The energy storage inverter automatically charges and discharges the energy storage battery;

[0071] Set the working mode of time-of-use electricity price; The working mode of time-of-use electricity price is: Charge the energy storage battery during the low electricity consumption period or the low electricity price period, discharge the energy storage battery during the high electricity consumption period, and the energy storage inverter works in the self-consumption mode during the remaining time periods;

[0072] Set the working mode of timed charging; the working mode of timed charging is: set the charging time period and discharging time period of the energy storage battery, and the energy storage inverter works in the self-consumption mode during the remaining time period;

[0073] Set the off-grid working mode; the off-grid working mode is: in the case of no mains power or power outage of the mains power, when the power of the load device is less than the power generation power of the photovoltaic panel, the remaining electric energy charges the energy storage battery, and when the power of the load device is greater than the power generation power of the photovoltaic panel, the energy storage inverter discharges the energy storage battery to supply power to the load device.

[0074] The working principle of the above technical solution is: in order to realize the setting of the working modes of power generation and power consumption, the present invention first sets the self-consumption working mode; the self-consumption working mode is: the electric energy generated by the photovoltaic panel is first used by the load. If the power generation power of the photovoltaic panel is greater than the power of the load device, the remaining electric energy generated by the photovoltaic panel is charged into the battery; if the power generation power of the photovoltaic panel is greater than the power of the load device and the energy storage battery is fully charged, the remaining electric energy generated by the photovoltaic panel is sent to the power grid; if the power generation power of the photovoltaic panel is less than the power of the load device, the energy storage inverter discharges the energy storage battery to supply power to the load device. When the sum of the power generation power of the photovoltaic panel and the discharging power of the energy storage battery is less than the power of the load device, the energy storage inverter purchases power from the power grid to supply power to the load device; the energy storage inverter automatically charges and discharges the energy storage battery; then, set the time-of-use electricity price working mode; the time-of-use electricity price working mode is: charge the energy storage battery during the low electricity consumption period or the low electricity price period, discharge the energy storage battery during the high electricity consumption period, and the energy storage inverter works in the self-consumption mode during the remaining time period; then, set the timed charging working mode; the timed charging working mode is: set the charging time period and discharging time period of the energy storage battery, and the energy storage inverter works in the self-consumption mode during the remaining time period; finally, set the off-grid working mode; the off-grid working mode is: in the case of no mains power or power outage of the mains power, when the power of the load device is less than the power generation power of the photovoltaic panel, the remaining electric energy charges the energy storage battery, and when the power of the load device is greater than the power generation power of the photovoltaic panel, the energy storage inverter discharges the energy storage battery to supply power to the load device.

[0075] The beneficial effects of the above technical solution are: adopting the solution provided by this embodiment, by setting different working models, conditions are provided for the efficient power generation of photovoltaic energy storage.

[0076] In one embodiment, the self-consumption working mode further includes: if the power generation power of the photovoltaic panel is greater than the load power and the battery is fully charged, the inverter reduces the power output to prevent the remaining electric energy generated by the photovoltaic panel from being sent to the power grid.

[0077] The working principle of the above technical solution is as follows: The self-consumption working mode in the present invention further includes: If the power generation power of the photovoltaic panel is greater than the load power and the battery is fully charged, the inverter reduces the power output to prevent the surplus power generated by the photovoltaic panel from being sent to the power grid.

[0078] The beneficial effect of the above technical solution is as follows: By adopting the solution provided in this embodiment, the surplus power generated by the photovoltaic panel can be prevented from being sent to the power grid through the power reduction output of the inverter.

[0079] In one embodiment, controlling the photovoltaic energy storage power grid power generation based on the working mode includes:

[0080] Select one working mode from the set working modes as the initial working mode, and use the initial working mode to control the photovoltaic energy storage power grid power generation;

[0081] Set the trigger condition for the working mode conversion;

[0082] Judge whether the power supply situation of the fish pond aerator, as well as the power generation power of the photovoltaic panel and the power of the load device, meet the trigger condition; if the trigger condition is met, convert the initial working mode to the target working mode to be converted;

[0083] Use the target working mode to be converted to control the photovoltaic energy storage power grid power generation.

[0084] The working principle of the above technical solution is as follows: In order to realize the control of the photovoltaic energy storage power grid power generation based on the working mode, the present invention first selects one working mode from the set working modes as the initial working mode, and uses the initial working mode to control the photovoltaic energy storage power grid power generation; then sets the trigger condition for the working mode conversion; then judges whether the power supply situation of the fish pond aerator, as well as the power generation power of the photovoltaic panel and the power of the load device, meet the trigger condition; if the trigger condition is met, convert the initial working mode to the target working mode to be converted; finally, use the target working mode to be converted to control the photovoltaic energy storage power grid power generation.

[0085] The beneficial effect of the above technical solution is as follows: By adopting the solution provided in this embodiment, through setting the trigger condition for the working mode conversion and judging whether the trigger condition is met, the targeted control of the photovoltaic energy storage power grid power generation can be realized.

[0086] In one embodiment, as Figure 3 shown, the photovoltaic energy storage power generation monitoring module includes a monitoring platform building unit and a monitoring implementation unit;

[0087] The monitoring platform building unit is used to build a photovoltaic energy storage power generation and electricity consumption monitoring management platform based on the cloud platform;

[0088] The monitoring implementation unit is used to monitor the photovoltaic energy storage power generation and electricity consumption process based on the photovoltaic energy storage power generation and electricity consumption monitoring management platform.

[0089] The working principle of the above technical solution is as follows: The photovoltaic energy storage power generation monitoring module proposed by the present invention includes a monitoring platform building unit and a monitoring implementation unit; the monitoring platform building unit is used to build a photovoltaic energy storage power generation and electricity consumption monitoring and management platform based on the cloud platform; the monitoring implementation unit is used to monitor the process of photovoltaic energy storage power generation and electricity consumption based on the photovoltaic energy storage power generation and electricity consumption monitoring and management platform.

[0090] The beneficial effect of the above technical solution is as follows: By adopting the solution provided in this embodiment, through building a photovoltaic energy storage power generation and electricity consumption monitoring and management platform and monitoring the process of photovoltaic energy storage power generation and electricity consumption, it is possible to ensure efficient monitoring of the process of photovoltaic energy storage power generation and electricity consumption.

[0091] In one embodiment, the monitoring implementation unit further includes a monitoring data display unit; the monitoring data display unit is used to display the monitoring data on the computer side and the mobile phone side respectively based on the photovoltaic energy storage power generation and electricity consumption monitoring and management platform and the set App monitoring program.

[0092] The working principle of the above technical solution is as follows: The monitoring implementation unit in the present invention further includes a monitoring data display unit; the monitoring data display unit is used to display the monitoring data on the computer side and the mobile phone side respectively based on the photovoltaic energy storage power generation and electricity consumption monitoring and management platform and the set App monitoring program.

[0093] The beneficial effect of the above technical solution is as follows: By adopting the solution provided in this embodiment, through multi-terminal display of monitoring data, the display effect of the monitoring data can be ensured.

[0094] In one embodiment, monitoring the process of photovoltaic energy storage power generation and electricity consumption based on the photovoltaic energy storage power generation and electricity consumption monitoring and management platform includes:

[0095] Collecting the working state data of the energy storage inverter through a network collection device and sending the working state data to the photovoltaic energy storage power generation and electricity consumption monitoring and management platform;

[0096] Analyzing the working state data of the energy storage inverter based on the data analysis model in the photovoltaic energy storage power generation and electricity consumption monitoring and management platform to obtain a number of analysis results;

[0097] Using the abnormal data analysis model to analyze the degree of abnormality of the analysis results to determine the abnormal working state data of the inverter;

[0098] According to the constructed abnormal working state traceability analysis model, tracing and analyzing the working mode corresponding to the abnormal working state data to obtain a traceability analysis result; among them, the abnormal working state traceability analysis model is constructed based on the output data of the SVM network model input into the LSTM network model;

[0099] According to the result of traceability analysis, obtain the corresponding target working mode;

[0100] Based on the AI model, generate adjustment suggestions for the working duration of the energy storage inverter in the target working mode;

[0101] Use the working state data, analysis results, abnormal working state data, traceability analysis results, and adjustment suggestions as part of the monitoring data, and display the monitoring data on the computer side and the mobile phone side.

[0102] The working principle of the above technical solution is as follows: In order to implement the monitoring of the photovoltaic energy storage power generation and power consumption process based on the photovoltaic energy storage power generation and power consumption monitoring and management platform, the present invention first collects the working state data of the energy storage inverter based on the network collection device and sends the working state data to the photovoltaic energy storage power generation and power consumption monitoring and management platform; then, based on the data analysis model in the photovoltaic energy storage power generation and power consumption monitoring and management platform, analyze the working state data of the energy storage inverter to obtain several analysis results; finally, use the abnormal data analysis model to analyze the degree of abnormality of the analysis results to determine the abnormal working state data of the inverter; according to the constructed abnormal working state traceability analysis model, conduct traceability analysis on the working mode corresponding to the abnormal working state data to obtain the traceability analysis result; among them, the abnormal working state traceability analysis model is constructed after the output data of the SVM network model is input into the LSTM network model; according to the traceability analysis result, obtain the corresponding target working mode; based on the AI model, generate adjustment suggestions for the working duration of the energy storage inverter in the target working mode; use the working state data, analysis results, abnormal working state data, traceability analysis results, and adjustment suggestions as part of the monitoring data, and display the monitoring data on the computer side and the mobile phone side.

[0103] In the specific implementation process:

[0104] The data analysis model of this application is a data analysis model for time series analysis. In terms of composition structure, it includes: a data collection layer, a data storage layer, a data processing and analysis layer, and a warning layer; among them, the data collection layer is used to collect sensor data of the energy storage inverter, such as: parameters such as input and output voltage, current, power, and frequency of the energy storage inverter; equipment status data; such as the start and stop status, fault code, and running time of the energy storage inverter; and environmental data of the energy storage inverter, such as temperature, humidity, and light intensity;

[0105] The data storage layer includes a data warehouse and a real-time database. The real-time database is used to store real-time data, and the data warehouse is used to integrate multi-source data. During the integration process, data fusion technology is used. In this application, feature fusion technology is mainly used to highlight the state of the energy storage inverter.

[0106] The data processing and analysis layer, based on time series algorithms, divides the data in the data storage layer into trend data, seasonal data, and random component data. Then, it uses the trained seasonal decomposition time series prediction (STL) and long short-term memory network (LSTM) to achieve data analysis and determine the possible abnormal states of the energy storage inverter. It is displayed through visualization tools such as ECharts or Tableau built into the warning layer.

[0107] The abnormal data model consists of two component modules: an anomaly detection algorithm module and an anomaly degree scoring calculation module. It mainly analyzes the data that may be abnormal based on the results of the data analysis model, that is, analyzes the output results of the data in the warning layer.

[0108] In the specific process, the anomaly detection algorithm uses an anomaly determination algorithm based on the random forest algorithm.

[0109] The anomaly detection algorithm module incorporates an anomaly detection algorithm. The anomaly detection algorithm is based on the historical state data of the energy storage inverter, including data such as current, voltage, temperature, and frequency. Under different abnormal states, feature extraction is performed. Then, the feature data under different abnormal states is divided into a training set and a test set. The random forest algorithm is trained, and the trained random forest algorithm, that is, the anomaly analysis model, is used to analyze the result data of the warning layer.

[0110] The anomaly degree scoring calculation module is used to predict the new inverter state data with the trained model, that is, the anomaly analysis module. According to the prediction results, the decision_path method of the random forest is used to calculate the anomaly score for each result. Thus, the abnormal working state data of the energy storage inverter is determined.

[0111] The abnormal working state traceability analysis model in this application is constructed by inputting the output data of the SVM network model into the LSTM network model.

[0112] The SVM network model is used to output the anomaly labels of the energy storage inverter. It collects the historical working state data of the energy storage inverter, including time series data, operation logs, environmental parameters, etc., and removes invalid, incorrect, and duplicate data. Features helpful for anomaly detection are extracted from the original data, such as voltage, current, temperature, frequency, etc. Finally, the feature data is standardized to a unified scale, and a training set and a test set are divided. The SVM model is trained with the training set to identify normal and abnormal working states and generate anomaly labels for different abnormal states.

[0113] After receiving the data of the SVM model, that is, the anomaly labels, the LSTM network model is converted into a format suitable for LSTM input. The time series data is converted into a sequence format acceptable to LSTM, and the LSTM network structure is designed, including an input layer, multiple LSTM layers, a fully connected layer, and an output layer. And the LSTM model is trained using the time series data with anomaly labels. The input layer is used to receive the abnormal working state data and the anomaly degree score; multiple LSTM layers analyze the abnormal state sequence and trace back the working mode before the anomaly occurs. The fully connected layer will integrate all the feature information corresponding to the abnormal working state data according to the working mode, so as to realize the traceability analysis, and the traceability result is output through the output layer.

[0114] The AI model is a trained general convolutional neural network, which is trained by the historical working state data of the energy storage inverter, the abnormal traceability analysis results, environmental parameters (such as temperature, humidity), load demand, etc. It includes a feature extraction layer, which is used to process the time series data, that is, the traceability result data corresponding to the abnormal working state of the energy storage inverter, using LSTM or GRU layers, extract time-related features, and convert the non-time series data such as the environmental parameters of the energy storage inverter operation and the connected load demand into a format suitable for neural network processing through the embedding layer. The features output by the feature extraction layer are integrated to capture the complex relationships between different features. It also includes an output layer, and the output layer predicts the adjustment suggestions for the working duration of the energy storage inverter, that is, according to the abnormal features, determines the cause of the anomaly, and through the neurons corresponding to the cause of the anomaly, judges how to correct the cause of the anomaly under normal circumstances. The cause of the anomaly correction corresponds to a correction value, and the correction value can be a single neuron outputting a value, or multiple neurons outputting a series of suggested values. These neurons are associated strategy neurons that can perform anomaly correction.

[0115] In the specific process of monitoring the photovoltaic energy storage power generation and power consumption, to generate the adjustment suggestions for the working duration of the energy storage inverter in the target working mode, it is necessary to correct according to the cause of the anomaly, and convert the predicted value into specific adjustment suggestions according to the operation state logic of the energy storage inverter and the actual parameter adjustment requirements. The generated adjustment suggestions can be direct numerical values of increasing or decreasing the working duration, or changes in the working mode (such as adjusting the working duration during peak periods).

[0116] The beneficial effects of the above technical solutions are as follows:

[0117] Adopting the solution provided in this embodiment is beneficial to the integrity of the monitoring data display by obtaining diverse monitoring data.

[0118] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A photovoltaic energy storage system for a fishpond aerator, characterized in that, Including: A photovoltaic energy storage power grid construction module for constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components; A photovoltaic energy storage power generation control module for controlling the power generation of the photovoltaic energy storage power grid; including: Set the self-consumption working mode; the self-consumption working mode is: the electricity generated by the photovoltaic panel is first supplied to the load for use. If the power generation power of the photovoltaic panel is greater than the power of the load device, the remaining electricity generated by the photovoltaic panel is charged into the battery; if the power generation power of the photovoltaic panel is greater than the power of the load device and the energy storage battery is fully charged, the remaining electric energy generated by the photovoltaic panel is sent to the power grid, or the inverter reduces the power output to prevent the remaining electricity generated by the photovoltaic panel from being sent to the power grid; if the power generation power of the photovoltaic panel is less than the power of the load device, the energy storage inverter discharges the energy storage battery to supply power to the load device. When the sum of the power generation power of the photovoltaic panel and the discharge power of the energy storage battery is less than the power of the load device, the energy storage inverter purchases electricity from the power grid to supply power to the load device; the energy storage inverter automatically charges and discharges the energy storage battery; Set the time-of-use electricity price working mode; the time-of-use electricity price working mode is: charge the energy storage battery during the low electricity consumption period or the low electricity price period, discharge the energy storage battery during the high electricity consumption period, and the energy storage inverter works in the self-consumption working mode during the remaining time periods; Set the timed charging working mode; the timed charging working mode is: set the charging time period and the discharging time period of the energy storage battery, and the energy storage inverter works in the self-consumption mode during the remaining time periods; Set the off-grid working mode; the off-grid working mode is: in the case of no mains power or power outage of the mains, when the power of the load device is less than the power generation power of the photovoltaic panel, the remaining electric energy is used to charge the energy storage battery, and when the power of the load device is greater than the power generation power of the photovoltaic panel, the energy storage inverter discharges the energy storage battery to supply power to the load device; Select one of the set working modes as the initial working mode, and use the initial working mode to control the power generation of the photovoltaic energy storage power grid; Set the trigger conditions for working mode conversion; According to the power supply situation of the fish pond aerator, as well as the power generation power of the photovoltaic panel and the power of the load device, judge whether the trigger conditions are met; if the trigger conditions are met, convert the initial working mode to the target working mode to be converted; Use the target working mode to be converted to control the power generation of the photovoltaic energy storage power grid; A photovoltaic energy storage power generation monitoring module for monitoring the power generation of the photovoltaic energy storage power grid; The photovoltaic energy storage power generation monitoring module includes a monitoring platform construction unit and a monitoring implementation unit; The monitoring platform construction unit is used to build a photovoltaic energy storage power generation and electricity consumption monitoring and management platform based on the cloud platform; The monitoring implementation unit is used to monitor the process of photovoltaic energy storage power generation and electricity consumption based on the photovoltaic energy storage power generation and electricity consumption monitoring and management platform; including: Collect the working status data of the energy storage inverter based on the network collection device and send the working status data to the photovoltaic energy storage power generation and electricity consumption monitoring and management platform; Analyze the working status data of the energy storage inverter based on the data analysis model in the photovoltaic energy storage power generation and electricity consumption monitoring and management platform to obtain a number of analysis results; the data analysis model is a data analysis model of time series analysis; Using an abnormal data analysis model, analyze the degree of abnormality of the analysis results to determine the abnormal working state data of the inverter; the abnormal data analysis model consists of an abnormal detection algorithm module and an abnormal degree scoring calculation module; According to the constructed traceability analysis model of the abnormal working state, conduct a traceability analysis of the working mode corresponding to the abnormal working state data to obtain a traceability analysis result; among them, the traceability analysis model of the abnormal working state is constructed after the output data of the SVM network model is input into the LSTM network model; Obtain the corresponding target working mode according to the traceability analysis result; Based on the AI model, generate an adjustment suggestion for the working duration of the energy storage inverter in the target working mode; the AI model is a trained general convolutional neural network; Use the working state data, analysis results, abnormal working state data, traceability analysis results, and adjustment suggestions as part of the monitoring data and display the monitoring data on the computer side and the mobile phone side.

2. The photovoltaic energy storage system for a fishpond aerator pump according to claim 1, characterized in that, Constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components includes: Obtain photovoltaic energy storage components; the photovoltaic energy storage components include photovoltaic panels, energy storage inverters, smart meters, load devices, and energy storage batteries; the smart meter can achieve the anti-backflow function, detect the grid connection point current in real time, and transmit it to the inverter through RS485 serial communication. The inverter dynamically adjusts its own output to ensure that it does not send electricity to the grid; the energy storage battery is a lithium battery pack or a lead-acid battery; Based on the photovoltaic energy storage components, construct a photovoltaic energy storage power grid.

3. A photovoltaic energy storage system for a fishpond aerator according to claim 2, characterized in that, Constructing a photovoltaic energy storage power grid based on photovoltaic energy storage components, including: Connect the photovoltaic panels to the energy storage inverter, and connect the energy storage inverter to the smart meter, load device, and energy storage battery respectively to construct a photovoltaic energy storage power grid.

4. A photovoltaic energy storage system for a fishpond aerator according to claim 1, characterized in that, The monitoring implementation unit also includes a monitoring data display unit; the monitoring data display unit is used to display the monitoring data on the computer side and the mobile phone side respectively based on the photovoltaic energy storage power generation and consumption monitoring management platform and the set App monitoring program.

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