New energy box-type transformer temporary photovoltaic panel power supply debugging method

Abstract

The invention discloses a new energy box-type transformer temporary photovoltaic panel power supply debugging method, which is based on a debugging system for debugging, and comprises the following specific steps: S1, the debugging system acquires output parameter data of a photovoltaic panel power supply and input and output parameter data of a box-type transformer in real time, and pre-processes the acquired data; and S2, carrying out prediction and modeling on the output parameter data of the photovoltaic panel power supply through an intelligent algorithm, and evaluating and optimizing the input and output parameter data of the box-type transformer. According to the invention, by introducing an intelligent and automatic debugging method, rapid and accurate debugging of the photovoltaic panel power supply and the box-type transformer is realized, the debugging efficiency is greatly improved, the reliability of the debugging result is ensured, the collected data is deeply analyzed and processed by using an intelligent algorithm, potential problems can be timely found and processed, and the debugging efficiency is improved. And fault diagnosis and early warning services are provided, so that stable operation and energy utilization efficiency of the system are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy, in particular to a new energy box-type transformer temporary photovoltaic panel power debugging method. BACKGROUND

[0002] With the rapid development of new energy technology, new energy box-type transformer temporary photovoltaic panels, as an important renewable energy utilization method, are gradually being widely used in various fields. New energy box-type transformer temporary photovoltaic panels are usually composed of photovoltaic panel power, box-type transformers, and related debugging and monitoring systems. In order to ensure the stable and efficient operation of new energy box-type transformer temporary photovoltaic panels, the power debugging system is particularly important.

[0003] However, the existing new energy box-type transformer temporary photovoltaic panels have the following shortcomings in power debugging:

[0004] On the one hand, traditional debugging methods often rely on manual operation, lack of intelligence and automation, resulting in low debugging efficiency and difficulty in ensuring the accuracy and reliability of the debugging results.

[0005] On the other hand, the existing debugging system can only simply monitor the running state of the photovoltaic panel power and the box-type transformer, lacks in-depth data analysis and fault warning capability, and cannot timely discover and handle potential problems, thereby affecting the stable operation of the system and the energy utilization efficiency. SUMMARY

[0006] Therefore, the present application provides a new energy box-type transformer temporary photovoltaic panel power debugging method to solve the problems of low debugging efficiency of traditional debugging methods, difficulty in ensuring the accuracy and reliability of the debugging results, lack of in-depth data analysis and fault warning capability, and inability to timely discover and handle potential problems, thereby affecting the stable operation of the system and the energy utilization efficiency.

[0007] In order to achieve the above purpose, the present application provides the following technical solution:

[0008] A new energy box-type transformer temporary photovoltaic panel power debugging method based on a debugging system, the specific steps are as follows:

[0009] S1 The debugging system collects the output parameter data of the photovoltaic panel power, the input and output parameter data of the box-type transformer in real time, and pre-processes the collected data;

[0010] S2 The output parameter data of the photovoltaic panel power is predicted and modeled by intelligent algorithm, and the input and output parameter data of the box-type transformer are evaluated and optimized;

[0011] S3 According to the analysis result of the intelligent algorithm, an automatic debugging strategy is formulated;

[0012] S4 In the automatic debugging process, the debugging system monitors the running state of the photovoltaic panel power supply and the box-type transformer in real time, and adjusts the automatic debugging strategy according to the real-time monitoring data;

[0013] S5 The debugging system uploads the monitoring data and debugging results to the remote monitoring center, and further analyzes and processes the data through the remote monitoring center to provide fault diagnosis and early warning services.

[0014] Optionally, in step S1, the debugging system collects the output voltage, current and power parameters of the photovoltaic panel power supply, and the input voltage, current, output voltage, current and power factor parameters of the box-type transformer in real time, and performs filtering, denoising and calibration processing on the collected raw data.

[0015] Optionally, in step S2, the output power, voltage and current parameters of the photovoltaic panel power supply are predicted and modeled using a machine learning algorithm, and a prediction model is established through analysis and learning of historical data to predict the future output of the photovoltaic panel power supply.

[0016] Optionally, in step S2, the voltage conversion efficiency and load adaptability of the box-type transformer are evaluated and optimized using a neural network algorithm, and the neural network model is trained to accurately identify the running state of the transformer and automatically adjust according to the actual situation.

[0017] Optionally, in step S3, the automatic debugging strategy includes adjusting the parameters of the photovoltaic controller, changing the turns ratio of the transformer, and adjusting the running state of the cooling system.

[0018] Optionally, in step S4, when the output power of the photovoltaic panel power supply is lower than the preset threshold, the parameters of the photovoltaic controller are automatically adjusted to adapt to the power generation standard.

[0019] Optionally, in step S4, when the transformer voltage conversion efficiency is lower than the preset threshold, the turns ratio of the transformer or the running state of the cooling system is automatically adjusted.

[0020] A debugging system applying the above new energy box-type transformer temporary photovoltaic panel power supply debugging method, comprising

[0021] The photovoltaic panel power supply module is composed of a photovoltaic panel array, a photovoltaic controller and an inverter, and is responsible for converting solar energy into electrical energy to provide temporary power for the box-type transformer;

[0022] The box-type transformer module is composed of a high-voltage winding, a low-voltage winding, a core and a cooling system, is responsible for receiving the power provided by the photovoltaic panel power module, and performs voltage and current conversion to meet the needs of different loads.

[0023] The debugging and monitoring unit is composed of a data acquisition module, a data processing module, a display module and a debugging interface, is responsible for real-time monitoring of the output of the photovoltaic panel power supply and the input and output parameters of the box-type transformer, and provides a debugging interface and tool.

[0024] The safety protection unit is composed of an overcurrent protector, an overvoltage protector, a short-circuit protector and a ground protector, and is responsible for cutting off the power supply in time when the photovoltaic panel power supply or the box-type transformer appears abnormal, to protect the equipment and personnel safety.

[0025] The communication and remote control unit is composed of a communication module and a remote control interface, and is responsible for remote communication between the debugging system and the remote monitoring center.

[0026] In view of the shortcomings in the prior art, the new energy box-type transformer temporary photovoltaic panel power supply debugging method provided by the present application has the following beneficial effects:

[0027] (1) Improve the debugging efficiency and accuracy: by introducing intelligent and automatic debugging method, the present application can realize the rapid and accurate debugging of photovoltaic panel power supply and box-type transformer, greatly improve the debugging efficiency, and ensure the reliability of the debugging result;

[0028] (2) Enhance the data analysis and fault warning capability: the present application uses machine learning algorithm and neural network algorithm to analyze and process the collected data, which can timely discover and handle potential problems, provide fault diagnosis and warning service, so as to ensure the stable operation of the system and the energy utilization efficiency;

[0029] (3) Improve the safety and reliability of the system: by real-time monitoring of the running state of photovoltaic panel power supply and box-type transformer, and adjusting the automatic debugging strategy according to the real-time monitoring data, the stability and safety of the system under various working conditions can be ensured, and the damage of equipment and personnel injury caused by fault can be avoided. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more directly illustrate the prior art and the present application, the following exemplary drawings are given. It should be understood that the specific shape, structure shown in the drawings should not be regarded as a limitation condition in the implementation of the present application; for example, based on the technical concept disclosed in the present application and the exemplary drawings, those skilled in the art can easily make routine adjustments or further optimization to some units (components) in terms of increase / decrease / attribute division, specific shape, positional relationship, connection mode, size ratio relationship, etc.

[0031] Figure 1 The flowchart of the new energy box-type transformer temporary photovoltaic panel power supply debugging method provided in the present application is shown. DETAILED DESCRIPTION

[0032] The present application will be further described in detail below with specific embodiments in combination with the accompanying drawings.

[0033] As shown in the drawings, a new energy box-type transformer temporary photovoltaic panel power supply debugging method is based on a debugging system for debugging, and the specific steps are as follows: Figure 1 S1 The debugging system collects the output voltage, current, power and other parameters of the photovoltaic panel power supply, as well as the input voltage, current, output voltage, current, power factor and other key data of the box-type transformer in real time, and performs filtering processing on the collected raw data to remove high-frequency noise and interference, improve the signal-to-noise ratio of the data, and then calibrate the data to ensure the accuracy and reliability of the data;

[0034] S2 The output power, voltage, current and other parameters of the photovoltaic panel power supply are predicted and modeled using machine learning algorithms, and through analysis and learning of historical data, a prediction model is established to predict the future output of the photovoltaic panel power supply, which helps to more accurately understand the working state of the photovoltaic panel power supply and provide a basis for the development of automatic debugging strategies;

[0035] The voltage conversion efficiency and load adaptability of the box-type transformer are evaluated and optimized using neural network algorithms, and through training of the neural network model, the running state of the transformer can be accurately identified, and automatic adjustment can be made according to the actual situation to improve the performance and efficiency of the transformer;

[0036] S3 According to the analysis results of the machine learning algorithm and the neural network algorithm, automatic debugging strategies are developed, including adjusting the parameters of the photovoltaic controller, changing the number of turns of the transformer, adjusting the running state of the cooling system, etc.;

[0036] The development of strategies should follow the principles of ensuring stable operation of the system, improving energy utilization efficiency, reducing energy consumption and cost, etc., and at the same time, the safety and reliability of the system should also be considered to ensure that no damage to equipment and personnel will occur during the automatic debugging process;

[0037] S4 During the automatic debugging process, the running state of the photovoltaic panel power supply and the box-type transformer is monitored in real time, including the output of the photovoltaic panel power supply, the input and output parameters of the box-type transformer, and the stability and efficiency of the entire system, etc.

[0038]

[0039]

[0040] According to the real-time monitoring data, the automatic debugging strategy is fine-tuned, for example, when the output power of the photovoltaic panel power supply is lower than the preset threshold, the parameters of the photovoltaic controller are automatically adjusted to improve the power generation efficiency, when the transformer voltage conversion efficiency is low, the number of turns of the transformer or the running state of the cooling system is automatically adjusted to improve the performance;

[0041] S5 The debugging system uploads the monitoring data and debugging results to the remote monitoring center, and further analyzes and processes the data through the remote monitoring center to provide fault diagnosis and early warning services, which helps to discover and handle potential problems in the system in a timely manner and ensure the stable operation of the system;

[0042] The remote monitoring center uses advanced fault diagnosis technology and algorithms to analyze and process the uploaded data in real time, and sends out warning signals when abnormal data is detected, and provides corresponding fault diagnosis information and solutions, which helps to eliminate faults in a timely manner and reduce system downtime and maintenance costs.

[0043] In this embodiment, a debugging system applying the above-mentioned temporary photovoltaic panel power supply debugging method for new energy box-type transformer, comprising:

[0044] The photovoltaic panel power supply module is composed of a photovoltaic panel array, a photovoltaic controller and an inverter, and is mainly responsible for converting solar energy into electrical energy to provide temporary power for the box-type transformer;

[0045] The photovoltaic panel array is composed of multiple photovoltaic panels, which convert solar energy into direct current through the photoelectric effect. When sunlight shines on the photovoltaic panel, photons will excite the electrons in the panel to generate current, which is collected through wires to form a direct current power supply;

[0046] The photovoltaic controller is responsible for managing and regulating the direct current generated by the photovoltaic panel array. According to the output voltage and current of the photovoltaic panel and the charging state of the battery, it automatically adjusts the charging current and voltage to ensure that the battery can be safely and efficiently charged. In addition, the photovoltaic controller also has overcharge, overdischarge, short circuit and other protection functions, which can prolong the service life of the battery;

[0047] The inverter is responsible for converting the direct current output by the photovoltaic controller into alternating current that meets the requirements of the power grid through a series of electronic components. It has the characteristics of high efficiency, stability and reliability, and can ensure that the quality of the output alternating current meets national standards;

[0048] The box-type transformer module is composed of a high-voltage winding, a low-voltage winding, a core and a cooling system, and is responsible for receiving the electrical energy provided by the photovoltaic panel power supply module, and converting the voltage and current to meet the needs of different loads;

[0049] The high-voltage winding receives electric energy from the photovoltaic panel power module, and transmits the electric energy to the low-voltage winding through electromagnetic induction principle. The low-voltage winding outputs corresponding voltage and current according to the demand of the load.

[0050] The iron core is usually made of high-permeability material, which serves as a medium for electromagnetic induction to transmit the magnetic field generated by the high-voltage winding to the low-voltage winding.

[0051] The cooling system uses fans, radiators and other equipment to dissipate the heat inside the transformer to the external environment, which is used to reduce the heat generated by the box-type transformer during operation, so as to ensure the long-term stable operation of the transformer.

[0052] The debugging and monitoring unit is composed of a data acquisition module, a data processing module, a display module and a debugging interface, which is responsible for real-time monitoring of the output of the photovoltaic panel power and the input and output parameters of the box-type transformer, and provides debugging interface and tools.

[0053] The data acquisition module is responsible for real-time monitoring of various parameters of the photovoltaic panel power and the box-type transformer. Through sensors, data acquisition cards and other equipment, the output voltage, current and power of the photovoltaic panel power and the input and output parameters of the box-type transformer are collected and stored.

[0054] The data processing module processes and analyzes the collected data, uses microprocessors and memories and other devices to filter, denoise and calibrate the data, so as to improve the accuracy and reliability of the data. At the same time, the data processing module can also statistically analyze the data according to the needs, providing strong support for debugging and monitoring.

[0055] The display module is used to display the processed data in the form of graphics, text and other forms. Touch screen or LED indicator and other devices are used to enable users to intuitively understand the running status of the photovoltaic panel power and the box-type transformer.

[0056] The debugging interface provides an interface for the debugging personnel to interact with the photovoltaic panel power and the box-type transformer, including USB interface, network interface and other interfaces, so that the debugging personnel can debug and monitor the system through the computer or other devices.

[0057] The safety protection unit is composed of overcurrent protector, overvoltage protector, short-circuit protector and ground protector, which is responsible for cutting off the power supply in time when the photovoltaic panel power or the box-type transformer appears abnormal, to protect the equipment and personnel safety.

[0058] The overcurrent protector is used to detect whether the current in the photovoltaic panel power or the box-type transformer exceeds the rated value. When the current exceeds the rated value, the overcurrent protector will immediately cut off the power supply to prevent equipment damage or fire accidents.

[0059] The overvoltage protector is used to detect whether the voltage in the photovoltaic panel power supply or the box-type transformer exceeds the rated value, and when the voltage exceeds the rated value, the overvoltage protector will quickly cut off the power supply to protect the safety of equipment and personnel;

[0060] The short-circuit protector is used to detect whether a short-circuit fault occurs in the photovoltaic panel power supply or the box-type transformer, and when a short-circuit fault occurs, the short-circuit protector will immediately cut off the power supply to prevent the fault from expanding or causing other faults;

[0061] The grounding protector is used to ensure that the metal parts such as the shell of the photovoltaic panel power supply and the box-type transformer maintain good contact with the ground, and when the equipment has a leakage or lightning strike fault, the grounding protector can quickly guide the fault current into the ground to protect the safety of equipment and personnel;

[0062] The communication and remote control unit is composed of a communication module and a remote control interface, and is responsible for realizing the communication between the debugging system and the remote monitoring center, uploading monitoring data, and receiving remote instructions;

[0063] The communication module is responsible for realizing the communication between the debugging system and the remote monitoring center, adopts wireless communication technologies such as 4G / 5G modules and Wi-Fi modules, uploads monitoring data to the remote monitoring center, and receives remote instructions;

[0064] The remote control interface provides an interface for the remote monitoring center to interact with the debugging system, including cloud servers, APP clients and other devices, so that the remote monitoring center can real-time understand the running state of the photovoltaic panel power supply and the box-type transformer, and perform remote debugging and control.

[0065] The technical features of the above embodiments can be combined in any way (as long as the combination of the technical features does not contradict), and in order to make the description concise, not all possible combinations of the technical features in the above embodiments are described; these embodiments not explicitly written should also be considered as the scope of the present specification.

Claims

1. A new energy box-type transformer temporary photovoltaic panel power supply debugging method, which is based on a debugging system for debugging, characterized in that, The specific steps are as follows: S1 Debug the system to collect the output parameter data of the photovoltaic panel power supply, the input and output parameter data of the box transformer, and preprocess the collected data; S2 Predict and model the output parameter data of the photovoltaic panel power supply through intelligent algorithms, and evaluate and optimize the input and output parameter data of the box transformer; S3 According to the analysis results of the intelligent algorithm, formulate an automatic debugging strategy; S4 In the process of automatic debugging, the debugging system monitors the running state of the photovoltaic panel power supply and the box transformer in real time, and adjusts the automatic debugging strategy according to the real-time monitoring data; S5 The debugging system uploads the monitoring data and debugging results to the remote monitoring center, and further analyzes and processes the data through the remote monitoring center to provide fault diagnosis and early warning services.

2. The temporary photovoltaic panel power supply debugging method of the new energy box-type transformer according to claim 1, characterized in that, In step S1, the debugging system collects the output voltage, current, and power parameters of the photovoltaic panel power supply, and the input voltage, current, output voltage, current, and power factor parameters of the box transformer, and performs filtering, denoising, and calibration on the collected raw data.

3. The temporary photovoltaic panel power supply debugging method of the new energy box-type transformer according to claim 1, characterized in that, In step S2, the output power, voltage, and current parameters of the photovoltaic panel power supply are predicted and modeled using machine learning algorithms, and a prediction model is established through analysis and learning of historical data to predict the future output of the photovoltaic panel power supply.

4. The temporary photovoltaic panel power supply debugging method of the new energy box-type transformer according to claim 1, characterized in that, In step S2, the voltage conversion efficiency and load adaptability of the box transformer are evaluated and optimized using neural network algorithms, and the neural network model is trained to accurately identify the running state of the transformer and automatically adjust it according to the actual situation.

5. The new energy box-type transformer temporary photovoltaic panel power supply debugging method according to claim 1, characterized in that, In step S3, the automatic debugging strategy includes adjusting the parameters of the photovoltaic controller, changing the turns ratio of the transformer, and adjusting the running state of the cooling system.

6. The new energy box-type transformer temporary photovoltaic panel power supply debugging method according to claim 1, characterized in that, In step S4, when the output power of the photovoltaic panel power supply is lower than the preset threshold, the parameters of the photovoltaic controller are automatically adjusted to adapt to the power generation standard.

7. The new energy box-type transformer temporary photovoltaic panel power supply debugging method according to claim 1, characterized in that, In step S4, when the transformer voltage conversion efficiency is lower than the preset threshold, the turns ratio of the transformer or the running state of the cooling system is automatically adjusted.

8. A debugging system for debugging the temporary photovoltaic panel power supply of the new energy box-type transformer according to any one of claims 1-7, characterized in that, Comprise The photovoltaic panel power supply module is composed of a photovoltaic panel array, a photovoltaic controller, and an inverter, which is responsible for converting solar energy into electrical energy and providing temporary power for the box transformer; The box transformer module is composed of a high-voltage winding, a low-voltage winding, a core, and a cooling system, which is responsible for receiving the electrical energy provided by the photovoltaic panel power supply module, and converting voltage and current to meet the needs of different loads; The debugging and monitoring unit is composed of a data acquisition module, a data processing module, a display module, and a debugging interface, which is responsible for real-time monitoring of the output of the photovoltaic panel power supply and the input and output parameters of the box transformer, and providing debugging interfaces and tools; The safety protection unit is composed of an overcurrent protector, an overvoltage protector, a short circuit protector, and a ground protector, which is responsible for cutting off the power supply in case of abnormality of the photovoltaic panel power supply or the box transformer to protect equipment and personnel safety; The communication and remote control unit is composed of a communication module and a remote control interface, which is responsible for remote communication between the debugging system and the remote monitoring center.

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