Photovoltaic energy storage system for fishpond oxygenation pump

Abstract

The invention belongs to the technical field of photovoltaic energy storage, and provides a photovoltaic energy storage system for a fishpond oxygenation pump, and the system comprises a photovoltaic energy storage power grid construction module which is used for constructing a photovoltaic energy storage power grid based on a photovoltaic energy storage assembly; the photovoltaic energy storage power generation control module is used for controlling a photovoltaic energy storage power grid to generate power; and the photovoltaic energy storage power generation monitoring module is used for monitoring power generation of the photovoltaic energy storage power grid. According to the invention, the photovoltaic energy storage power grid is constructed based on the photovoltaic energy storage assembly, the photovoltaic energy storage power grid is controlled to generate power, and the power generation of the photovoltaic energy storage power grid is monitored, so that the utilization efficiency of the photovoltaic energy storage power grid can be improved, and the use efficiency of the fishpond oxygenation pump can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of photovoltaic energy storage, and in particular to a photovoltaic energy storage system for a fish pond oxygenation pump. Background Art

[0002] At present, in artificial fish ponds, oxygen pumps are used to improve the dissolved oxygen balance in the water, increase water circulation, improve the water ecological environment, purify water quality, reduce the occurrence of diseases and pests, and promote the growth of fish and other aquatic organisms.

[0003] Most of the oxygenation in our daily life is impeller type oxygenation, which is powered by connecting to the mains. Since the oxygenation pump needs to work continuously, the cost of electricity consumption is high. In the event of a power outage, it will also affect the work of the oxygenation pump and even affect the normal breeding of fish ponds.

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

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

[0006] The present invention provides a photovoltaic energy storage system for a fish pond oxygenation pump, comprising: Photovoltaic energy storage grid construction module, used to build a photovoltaic energy storage grid based on photovoltaic energy storage components; Photovoltaic energy storage power generation control module, used to control photovoltaic energy storage grid power generation; Photovoltaic energy storage power generation monitoring module is used to monitor the photovoltaic energy storage grid power generation.

[0007] Furthermore, building a photovoltaic energy storage grid based on photovoltaic energy storage components includes: Obtain photovoltaic energy storage components; photovoltaic energy storage components include photovoltaic panels, energy storage inverters, smart meters, load equipment and energy storage batteries; smart meters can realize anti-backflow function, detect the current of the grid connection point in real time, and transmit it to the inverter through RS485 serial port communication. The inverter dynamically adjusts its own output to ensure that no power is supplied to the grid; the energy storage battery is a lithium battery pack or a lead-acid battery; Based on photovoltaic energy storage components, a photovoltaic energy storage grid is constructed.

[0008] Furthermore, based on the photovoltaic energy storage components, a photovoltaic energy storage grid is constructed, including: Connect the photovoltaic panels to the energy storage inverter, and connect the energy storage inverter to the smart meter, load equipment and energy storage battery to build a photovoltaic energy storage grid.

[0009] Further, controlling the photovoltaic energy storage grid to generate electricity includes: Set the working mode of power generation and power consumption; Control photovoltaic energy storage grid power generation based on working mode.

[0010] Furthermore, the working modes of power generation and power consumption are set, including: Set the self-generation and self-use working mode; the self-generation and self-use working mode is: the power generated by the photovoltaic panel is first used for the load. If the power generated by the photovoltaic panel is greater than the power of the load device, the remaining power generated by the photovoltaic panel is charged into the battery; if the power generated by the photovoltaic panel is greater than the power of the load device and the energy storage battery is full, the remaining power generated by the photovoltaic panel is sent to the grid; if the power generated by 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 generated by 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 grid to supply power to the load device; the energy storage inverter automatically charges and discharges the energy storage battery; 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-peak period of electricity consumption or the low-peak period of electricity price, discharge the energy storage battery power during the peak period of electricity consumption, and the energy storage inverter works in the self-generation and self-use mode during the remaining time period; Set the working mode of timed charging; the working mode of timed charging is: set the energy storage battery charging time period and the energy storage battery discharging time period, and the energy storage inverter works in the self-generation and self-use mode in the remaining time period; Set the off-grid working mode; the off-grid working mode is: when there is no mains power or the mains power is cut off, when the load equipment power is less than the photovoltaic panel power generation power, the remaining power is used to charge the energy storage battery; when the load equipment power is greater than the photovoltaic panel power generation power, the energy storage inverter discharges the energy storage battery to power the load equipment.

[0011] Furthermore, the self-generated and self-used working mode also includes: if the power generated by 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.

[0012] Furthermore, the photovoltaic energy storage grid power generation is controlled based on the working mode, including: From the set working modes, one working mode is selected as the initial working mode, and the photovoltaic energy storage grid is controlled to generate electricity using the initial working mode; Set the trigger conditions for working mode conversion; Determine whether the power supply of the fish pond aeration pump, 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; The target working mode to be converted is used to control the power generation of the photovoltaic energy storage grid.

[0013] Further, the photovoltaic energy storage power generation monitoring module 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 photovoltaic energy storage power generation and power consumption process based on the photovoltaic energy storage power generation and power consumption monitoring management platform.

[0014] 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 and mobile phone respectively based on the photovoltaic energy storage power generation power consumption monitoring management platform and the set App monitoring program.

[0015] Furthermore, based on the photovoltaic energy storage power generation and electricity consumption monitoring and management platform, the photovoltaic energy storage power generation and electricity consumption process is monitored, including: The working status data of the energy storage inverter is collected based on the network collection equipment, and the working status data is sent to the photovoltaic energy storage power generation and electricity consumption monitoring and management platform; Based on the data analysis model in the photovoltaic energy storage power generation and electricity consumption monitoring and management platform, the working status data of the energy storage inverter is analyzed to obtain several analysis results; Using the abnormal data analysis model, the abnormality degree of the analysis results is analyzed to determine the abnormal working state data of the inverter; According to the constructed abnormal working state traceability analysis model, the work mode corresponding to the abnormal working state data is traced and analyzed to obtain the traceability analysis result; wherein, 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 results, the corresponding target working mode is obtained; Generate adjustment suggestions for the working time of the energy storage inverter in the target working mode based on the AI ​​model; Work status data, analysis results, abnormal work status data, traceability analysis results and adjustment suggestions are used as part of the monitoring data and displayed on computers and mobile phones.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: by constructing a photovoltaic energy storage grid based on photovoltaic energy storage components, controlling the power generation of the photovoltaic energy storage grid, and monitoring the power generation of the photovoltaic energy storage grid, the utilization efficiency of the photovoltaic energy storage network can be improved, and the use efficiency of the fish pond oxygenation pump can be improved.

[0017] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0018] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying 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 of the present invention. In the accompanying drawings: Figure 1 This is a schematic diagram of the structure of a photovoltaic energy storage system for a fish pond aeration pump; Figure 2 A schematic diagram of the steps of a method for constructing a photovoltaic energy storage grid based on photovoltaic energy storage components; Figure 3 This is a schematic diagram of the photovoltaic energy storage power generation monitoring module structure. DETAILED DESCRIPTION

[0020] The preferred embodiments of the present invention are described below in conjunction with the accompanying 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.

[0021] The present invention provides a photovoltaic energy storage system for a fish pond aeration pump, such as Figure 1 As shown, including: Photovoltaic energy storage grid construction module, used to build a photovoltaic energy storage grid based on photovoltaic energy storage components; Photovoltaic energy storage power generation control module, used to control photovoltaic energy storage grid power generation; Photovoltaic energy storage power generation monitoring module is used to monitor the photovoltaic energy storage grid power generation.

[0022] The working principle of the above technical solution is: in order to realize the photovoltaic energy storage system for the fish pond oxygenation pump, the present invention proposes a photovoltaic energy storage grid construction module to construct a photovoltaic energy storage grid based on photovoltaic energy storage components; proposes a photovoltaic energy storage power generation control module to control the power generation of the photovoltaic energy storage grid; proposes a photovoltaic energy storage power generation monitoring module to monitor the power generation of the photovoltaic energy storage grid.

[0023] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by constructing a photovoltaic energy storage grid based on photovoltaic energy storage components, controlling the power generation of the photovoltaic energy storage grid, and monitoring the power generation of the photovoltaic energy storage grid, the utilization efficiency of the photovoltaic energy storage network can be improved, and the use efficiency of the fish pond oxygenation pump can be improved.

[0024] In one embodiment, Figure 2 As shown, building a photovoltaic energy storage grid based on photovoltaic energy storage components includes: Obtain photovoltaic energy storage components; photovoltaic energy storage components include photovoltaic panels, energy storage inverters, smart meters, load equipment and energy storage batteries; smart meters can realize anti-backflow function, detect the current of the grid connection point in real time, and transmit it to the inverter through RS485 serial port communication. The inverter dynamically adjusts its own output to ensure that no power is supplied to the grid; the energy storage battery is a lithium battery pack or a lead-acid battery; Based on photovoltaic energy storage components, a photovoltaic energy storage grid is constructed.

[0025] The working principle of the above technical solution is as follows: in order to construct a photovoltaic energy storage grid based on photovoltaic energy storage components, the present invention proposes to first obtain photovoltaic energy storage components; the photovoltaic energy storage components include photovoltaic panels, energy storage inverters, smart meters, load equipment and energy storage batteries; the smart meters can realize the anti-backflow function, detect the grid connection point current in real time, and transmit it to the inverter through RS485 serial port communication, and the inverter dynamically adjusts its own output to ensure that no power is supplied to the grid; the energy storage battery is a lithium battery pack or a lead-acid battery; and then based on the photovoltaic energy storage components, a photovoltaic energy storage grid is constructed.

[0026] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, a photovoltaic energy storage grid is constructed based on photovoltaic energy storage components, which can provide a basis for the photovoltaic energy storage grid to function.

[0027] In one embodiment, a photovoltaic energy storage grid is constructed 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 equipment and energy storage battery to build a photovoltaic energy storage grid.

[0028] The working principle of the above technical solution is: in order to realize the construction of a photovoltaic energy storage grid based on photovoltaic energy storage components, the present invention connects the photovoltaic panels to the energy storage inverter, and connects the energy storage inverter to the smart meter, load equipment and energy storage battery respectively to construct a photovoltaic energy storage grid.

[0029] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by connecting photovoltaic panels, energy storage inverters, smart meters, load devices and energy storage batteries, a basis is provided for the construction of a photovoltaic energy storage grid.

[0030] In one embodiment, controlling photovoltaic energy storage grid power generation includes: Set the working mode of power generation and power consumption; Control photovoltaic energy storage grid power generation based on working mode.

[0031] The working principle of the above technical solution is: in order to realize the control of photovoltaic energy storage grid power generation, the present invention first sets the working mode of power generation and power consumption, and then controls the photovoltaic energy storage grid power generation based on the working mode.

[0032] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the efficiency of photovoltaic energy storage grid power generation can be guaranteed by setting the working mode of power generation and power consumption, and controlling the power generation of the photovoltaic energy storage grid based on the working mode.

[0033] In one embodiment, setting the working mode of power generation and power consumption includes: Set the self-generation and self-use working mode; the self-generation and self-use working mode is: the power generated by the photovoltaic panel is first used for the load. If the power generated by the photovoltaic panel is greater than the power of the load device, the remaining power generated by the photovoltaic panel is charged into the battery; if the power generated by the photovoltaic panel is greater than the power of the load device and the energy storage battery is full, the remaining power generated by the photovoltaic panel is sent to the grid; if the power generated by 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 generated by 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 grid to supply power to the load device; the energy storage inverter automatically charges and discharges the energy storage battery; 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-peak period of electricity consumption or the low-peak period of electricity price, discharge the energy storage battery power during the peak period of electricity consumption, and the energy storage inverter works in the self-generation and self-use mode during the remaining time period; Set the working mode of timed charging; the working mode of timed charging is: set the energy storage battery charging time period and the energy storage battery discharging time period, and the energy storage inverter works in the self-generation and self-use mode in the remaining time period; Set the off-grid working mode; the off-grid working mode is: when there is no mains power or the mains power is cut off, when the load equipment power is less than the photovoltaic panel power generation power, the remaining power is used to charge the energy storage battery; when the load equipment power is greater than the photovoltaic panel power generation power, the energy storage inverter discharges the energy storage battery to power the load equipment.

[0034] The working principle of the above technical solution is as follows: in order to realize the setting of the working mode of power generation and power consumption, the present invention first sets a working mode of self-generation and self-use; the working mode of self-generation and self-use is as follows: the power generated by the photovoltaic panel is first used for the load, if the power generation power of the photovoltaic panel is greater than the power of the load device, the remaining power 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 Electricity; then 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-peak period of electricity consumption or the low-peak period of electricity price, discharge the energy storage battery during the peak period of electricity consumption, and the energy storage inverter works in the self-generation and self-use mode for the remaining time period; then, set the working mode of scheduled charging; the working mode of scheduled charging is: set the energy storage battery charging time period and the energy storage battery discharging time period, and the energy storage inverter works in the self-generation and self-use mode for the remaining time period; finally, set the off-grid working mode; the off-grid working mode is: when there is no mains power or the mains power is cut off, when the power of the load equipment 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 equipment is greater than the power generation power of the photovoltaic panel, the energy storage inverter discharges the energy storage battery to power the load equipment.

[0035] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by setting different working models, conditions are provided for efficient power generation of photovoltaic energy storage.

[0036] In one embodiment, the self-generation and self-use working mode also includes: if the power generated by 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.

[0037] The working principle of the above technical solution is: the self-generation and self-use working mode in the present invention also includes: if the power generated by 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.

[0038] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the inverter can reduce the power output, thereby preventing the surplus electricity generated by the photovoltaic panel from being sent to the power grid.

[0039] In one embodiment, controlling photovoltaic energy storage grid power generation based on the working mode includes: From the set working modes, one working mode is selected as the initial working mode, and the photovoltaic energy storage grid is controlled to generate electricity using the initial working mode; Set the trigger conditions for working mode conversion; Determine whether the power supply of the fish pond aeration pump, 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; The target working mode to be converted is used to control the power generation of the photovoltaic energy storage grid.

[0040] The working principle of the above technical solution is: in order to realize the control of photovoltaic energy storage grid power generation based on the working mode, the present invention first selects a working mode as the initial working mode from the set working modes, and uses the initial working mode to control the photovoltaic energy storage grid power generation; then sets the triggering conditions for the working mode conversion; then judges whether the power supply situation of the fish pond aeration pump, the photovoltaic panel power generation power, and the load equipment power meet the triggering conditions; if the triggering conditions are met, the initial working mode is converted to the target working mode to be converted; finally, the target working mode to be converted is used to control the photovoltaic energy storage grid power generation.

[0041] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by setting the triggering conditions for the working mode conversion and judging whether the triggering conditions are met, targeted control of the photovoltaic energy storage grid power generation can be achieved.

[0042] In one embodiment, Figure 3 As shown, the photovoltaic energy storage power generation monitoring module 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 photovoltaic energy storage power generation and power consumption process based on the photovoltaic energy storage power generation and power consumption monitoring and management platform.

[0043] The working principle of the above technical solution is as follows: the present invention proposes that the photovoltaic energy storage power generation monitoring module 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 power consumption monitoring and management platform based on the cloud platform; the monitoring implementation unit is used to monitor the photovoltaic energy storage power generation power consumption process based on the photovoltaic energy storage power generation power consumption monitoring and management platform.

[0044] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by building a photovoltaic energy storage power generation power consumption monitoring and management platform, and monitoring the photovoltaic energy storage power generation power consumption process, it is possible to ensure efficient monitoring of the photovoltaic energy storage power generation power consumption process.

[0045] In one embodiment, the monitoring implementation unit also includes a monitoring data display unit; the monitoring data display unit is used to display monitoring data on a computer and a mobile phone respectively based on a photovoltaic energy storage power generation and electricity consumption monitoring management platform and a set App monitoring program.

[0046] The working principle of the above technical solution is: the monitoring implementation unit in the present invention also includes a monitoring data display unit; the monitoring data display unit is used to display the monitoring data on the computer and mobile phone respectively based on the photovoltaic energy storage power generation power consumption monitoring management platform and the set App monitoring program.

[0047] The beneficial effect of the above technical solution is: by adopting the solution provided by this embodiment, the display effect of the monitoring data can be guaranteed by displaying the monitoring data on multiple terminals.

[0048] In one embodiment, based on the photovoltaic energy storage power generation and power consumption monitoring and management platform, the photovoltaic energy storage power generation and power consumption process is monitored, including: The working status data of the energy storage inverter is collected based on the network collection equipment, and the working status data is sent to the photovoltaic energy storage power generation and electricity consumption monitoring and management platform; Based on the data analysis model in the photovoltaic energy storage power generation and electricity consumption monitoring and management platform, the working status data of the energy storage inverter is analyzed to obtain several analysis results; Using the abnormal data analysis model, the abnormality degree of the analysis results is analyzed to determine the abnormal working state data of the inverter; According to the constructed abnormal working state traceability analysis model, the work mode corresponding to the abnormal working state data is traced and analyzed to obtain the traceability analysis result; wherein, 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 results, the corresponding target working mode is obtained; Generate adjustment suggestions for the working time of the energy storage inverter in the target working mode based on the AI ​​model; Work status data, analysis results, abnormal work status data, traceability analysis results and adjustment suggestions are used as part of the monitoring data and displayed on computers and mobile phones.

[0049] The working principle of the above technical solution is as follows: in order to realize the monitoring and management platform for photovoltaic energy storage power generation and electricity consumption, and to monitor the photovoltaic energy storage power generation and electricity consumption process, the present invention first collects and obtains the working status data of the energy storage inverter based on the network acquisition device, and sends the working status data to the photovoltaic energy storage power generation and electricity consumption monitoring and management platform; then, based on the data analysis model in the photovoltaic energy storage power generation and electricity consumption monitoring and management platform, the working status data of the energy storage inverter is analyzed to obtain several analysis results; finally, the abnormal data analysis model is used to analyze the abnormality of the analysis results to determine the abnormal working status data of the inverter; according to the constructed The abnormal working state traceability analysis model performs traceability analysis on the working mode corresponding to the abnormal working state data to obtain the traceability analysis results; wherein, 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 results, the corresponding target working mode is obtained; based on the AI ​​model, adjustment suggestions for the working time of the energy storage inverter in the target working mode are generated; the working state data, analysis results, abnormal working state data, traceability analysis results and adjustment suggestions are used as part of the monitoring data, and the monitoring data is displayed on the computer and mobile phone.

[0050] In the specific implementation process: The data analysis model of the present application is a data analysis model for time series analysis, and in terms of composition structure, it includes: a data acquisition layer, a data storage layer, a data processing and analysis layer, and an early warning layer; wherein the data acquisition layer is used to collect sensor data of the energy storage inverter, such as: parameters such as input and output voltage, current, power, frequency, etc. of the energy storage inverter; equipment status data; such as the start and stop status, fault code, and operating time of the energy storage inverter; and environmental data of the energy storage inverter, such as temperature, humidity, and light intensity; 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 status of the energy storage inverter.

[0051] The data processing and analysis layer is based on the time series algorithm, which divides the data in the data storage layer into trend data, seasonal data, and random component data. It then uses the trained seasonal decomposition time series prediction (STL) and long short-term memory network (LSTM) to perform data analysis and determine possible abnormal states of the energy storage inverter. It is then displayed through visualization tools such as ECharts or Tableau built into the early warning layer.

[0052] The abnormal data model consists of two components: an abnormality detection algorithm module and an abnormality score calculation module. It mainly analyzes the data that may have abnormalities based on the results of the data analysis model, that is, analyzes the output results of the data in the early warning layer. In the specific process, the anomaly detection algorithm adopts an anomaly determination algorithm based on the random forest algorithm; The anomaly detection algorithm module has a built-in anomaly detection algorithm. The anomaly detection algorithm is based on the historical status data of the energy storage inverter, including current, voltage, temperature frequency and other data. It extracts features under different abnormal conditions, and then divides the feature data under different abnormal conditions into training sets and test sets. The random forest algorithm is trained and the test set is used to analyze the result data of the early warning layer, that is, the anomaly analysis model.

[0053] The abnormality score calculation module is used to predict the new inverter status data in the trained model, that is, the abnormality analysis module, and the decision_path method of the random forest is used to calculate the abnormality score of each result according to the prediction results. In this way, the abnormal working status data of the energy storage inverter is determined.

[0054] The abnormal working status tracing analysis model in this application is: "constructed after the output data of the SVM network model is input into the LSTM network model."

[0055] The SVM network model is used to output the abnormal labels of the energy storage inverter. It collects the historical working status data of the energy storage inverter, including time series data, operation logs, environmental parameters, etc., and removes invalid, erroneous and duplicate data. Features that are helpful for anomaly detection, such as voltage, current, temperature, frequency, etc., are extracted from the original data. Finally, the feature data is standardized to a unified scale and divided into training sets and test sets. The training set is used to train the SVM model to identify normal and abnormal working states and generate abnormal labels for different abnormal states. After receiving the data from the SVM model, i.e. the abnormal labels, the LSTM network model converts it 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 the input layer, multiple LSTM layers, a fully connected layer, and an output layer. The LSTM model is trained using time series data with abnormal labels. The input layer is used to receive abnormal working status data and abnormality scores; multiple LSTM layers analyze the abnormal status sequence and trace the working mode before the abnormality occurs. The fully connected layer will integrate all feature information corresponding to the abnormal working status data according to the working mode, thereby realizing traceability analysis, and output the traceability results through the output layer.

[0056] The AI ​​model is a trained general convolutional neural network, which is trained through the historical working status data of the energy storage inverter, the results of abnormal tracing analysis, environmental parameters (such as temperature, humidity), load demand, etc. It includes a feature extraction layer, which is used to process time series data using LSTM or GRU layers, that is, the traceability result data corresponding to the abnormal working state of the energy storage inverter, extract time-related features, and convert non-time series data such as the environmental parameters of the energy storage inverter and the connected load demand into a format suitable for neural network processing through an embedding layer. The features output by the feature extraction layer are integrated to capture the complex relationship between different features. It also includes an output layer, which predicts the working time adjustment suggestions of the energy storage inverter, that is, according to the abnormal features, the abnormal cause is determined, and the abnormal cause and the corresponding neurons are used to determine how to correct the abnormal cause under normal circumstances. The abnormal cause correction corresponds to a correction value. The correction value can be a single neuron outputting a value, or multiple neurons outputting a series of recommended values. These neurons are association strategy neurons that can correct abnormalities.

[0057] In the specific process of photovoltaic energy storage power generation and electricity consumption, monitoring is implemented to generate adjustment suggestions for the working time of the energy storage inverter in the target working mode. It is necessary to correct according to the abnormal cause, and convert the predicted value into specific adjustment suggestions according to the operating state logic and actual parameter adjustment requirements of the energy storage inverter. The generated adjustment suggestions can be the direct increase or decrease of the working time, or the change of the working mode (such as adjusting the working time during the peak period).

[0058] The beneficial effects of the above technical solution are: The solution provided in this embodiment is adopted to obtain various monitoring data, which is beneficial to the integrity of the monitoring data display.

[0059] Obviously, those skilled in the art can make various changes and modifications 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 equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A photovoltaic energy storage system for a fish pond aeration pump, characterized in that: include: Photovoltaic energy storage grid construction module, used to build a photovoltaic energy storage grid based on photovoltaic energy storage components; Photovoltaic energy storage power generation control module, used to control photovoltaic energy storage grid power generation; Photovoltaic energy storage power generation monitoring module is used to monitor the photovoltaic energy storage grid power generation.

2. A photovoltaic energy storage system for a fish pond aeration pump according to claim 1, characterized in that: Building a photovoltaic energy storage grid based on photovoltaic energy storage components includes: Obtain photovoltaic energy storage components; photovoltaic energy storage components include photovoltaic panels, energy storage inverters, smart meters, load equipment and energy storage batteries; smart meters can realize anti-backflow function, detect the current of the grid connection point in real time, and transmit it to the inverter through RS485 serial port communication. The inverter dynamically adjusts its own output to ensure that no power is supplied to the grid; the energy storage battery is a lithium battery pack or a lead-acid battery; Based on photovoltaic energy storage components, a photovoltaic energy storage grid is constructed.

3. A photovoltaic energy storage system for a fish pond aeration pump according to claim 2, characterized in that: Based on photovoltaic energy storage components, a photovoltaic energy storage grid is constructed, including: Connect the photovoltaic panels to the energy storage inverter, and connect the energy storage inverter to the smart meter, load equipment and energy storage battery to build a photovoltaic energy storage grid.

4. A photovoltaic energy storage system for a fish pond aeration pump according to claim 1, characterized in that: Control photovoltaic energy storage grid power generation, including: Set the working mode of power generation and power consumption; Control photovoltaic energy storage grid power generation based on working mode.

5. A photovoltaic energy storage system for a fish pond aeration pump according to claim 4, characterized in that: Set the working mode of power generation and power consumption, including: Set the self-generation and self-use working mode; the self-generation and self-use working mode is: the power generated by the photovoltaic panel is first used for the load. If the power generated by the photovoltaic panel is greater than the power of the load device, the remaining power generated by the photovoltaic panel is charged into the battery; if the power generated by the photovoltaic panel is greater than the power of the load device and the energy storage battery is full, the remaining power generated by the photovoltaic panel is sent to the grid; if the power generated by 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 generated by 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 grid to supply power to the load device; the energy storage inverter automatically charges and discharges the energy storage battery; 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-peak period of electricity consumption or the low-peak period of electricity price, discharge the energy storage battery power during the peak period of electricity consumption, and the energy storage inverter works in the self-generation and self-use mode during the remaining time period; Set the working mode of timed charging; the working mode of timed charging is: set the energy storage battery charging time period and the energy storage battery discharging time period, and the energy storage inverter works in the self-generation and self-use mode in the remaining time period; Set the off-grid working mode; the off-grid working mode is: when there is no mains power or the mains power is cut off, when the load equipment power is less than the photovoltaic panel power generation power, the remaining power is used to charge the energy storage battery; when the load equipment power is greater than the photovoltaic panel power generation power, the energy storage inverter discharges the energy storage battery to power the load equipment.

6. A photovoltaic energy storage system for a fish pond aeration pump according to claim 5, characterized in that: The self-generated and self-used working mode also includes: if the power generated by the photovoltaic panel is greater than the load power and the battery is fully charged, the inverter will reduce the power output to prevent the surplus power generated by the photovoltaic panel from being sent to the power grid.

7. A photovoltaic energy storage system for a fish pond aeration pump according to claim 4, characterized in that: Control photovoltaic energy storage grid power generation based on working mode, including: From the set working modes, one working mode is selected as the initial working mode, and the photovoltaic energy storage grid is controlled to generate electricity using the initial working mode; Set the trigger conditions for working mode conversion; Determine whether the power supply of the fish pond aeration pump, 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; The target working mode to be converted is used to control the power generation of the photovoltaic energy storage grid.

8. A photovoltaic energy storage system for a fish pond aeration pump according to claim 1, characterized in that: The photovoltaic energy storage power generation monitoring module 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 photovoltaic energy storage power generation and power consumption process based on the photovoltaic energy storage power generation and power consumption monitoring and management platform.

9. A photovoltaic energy storage system for a fish pond aeration pump according to claim 8, 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 and mobile phone respectively based on the photovoltaic energy storage power generation power consumption monitoring management platform and the set App monitoring program.

10. A photovoltaic energy storage system for a fish pond aeration pump according to claim 8, characterized in that: Based on the photovoltaic energy storage power generation and electricity consumption monitoring and management platform, the photovoltaic energy storage power generation and electricity consumption process is monitored, including: The working status data of the energy storage inverter is collected based on the network collection equipment, and the working status data is sent to the photovoltaic energy storage power generation and electricity consumption monitoring and management platform; Based on the data analysis model in the photovoltaic energy storage power generation and electricity consumption monitoring and management platform, the working status data of the energy storage inverter is analyzed to obtain several analysis results; Using the abnormal data analysis model, the abnormality degree of the analysis results is analyzed to determine the abnormal working state data of the inverter; According to the constructed abnormal working state traceability analysis model, the work mode corresponding to the abnormal working state data is traced and analyzed to obtain the traceability analysis result; wherein, 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 results, the corresponding target working mode is obtained; Generate adjustment suggestions for the working time of the energy storage inverter in the target working mode based on the AI ​​model; Work status data, analysis results, abnormal work status data, traceability analysis results and adjustment suggestions are used as part of the monitoring data and displayed on computers and mobile phones.

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