Efficient new energy photovoltaic regulation and control system

Abstract

The invention discloses an efficient new energy photovoltaic regulation and control system, the system integrates functions of intelligent monitoring, data analysis, regulation and control strategies, energy storage, user interaction and the like, an intelligent monitoring unit collects environment and component data through various sensors, and the environment and component data is wirelessly transmitted after being processed by a microprocessor. And the data analysis module analyzes data and predicts the generating capacity by using various algorithms and models, thereby providing a basis for regulation and control. And the regulation and control strategy module generates a control command according to an analysis result and adjusts operation parameters of the photovoltaic module and the like. The energy storage unit adopts different energy storage devices, and charging and discharging are controlled by a battery management system and the like. The user interface can monitor in real time, visualize data and operate and control, and also has the functions of alarm notification, report generation and the like; the system can realize efficient regulation and control of photovoltaic power generation, adapts to different environmental conditions, optimizes electric energy storage and utilization, improves power generation efficiency and stability, and promotes wide application and sustainable development of new energy photovoltaic.

Description

Technical Field

[0001] The present invention belongs to the technical field related to new energy, and specifically relates to a high-efficiency new energy photovoltaic control system. Background Art

[0002] As the global demand for clean energy continues to grow, solar photovoltaic power generation, as an important renewable energy utilization method, has received widespread attention and application. However, the performance of photovoltaic power generation systems is affected by many factors, such as changes in environmental conditions such as light intensity, temperature, wind speed, and the performance and operating status of photovoltaic modules themselves.

[0003] Traditional photovoltaic systems often lack real-time monitoring and accurate analysis of the environment and component status during operation, making it difficult to dynamically adjust system parameters according to actual conditions, resulting in suboptimal power generation efficiency. At the same time, due to the intermittent and unstable characteristics of photovoltaic power generation, how to effectively store and utilize excess electricity is also an urgent problem to be solved.

[0004] In this context, in order to improve the efficiency, stability and energy utilization of photovoltaic power generation, it has become an urgent need for the development of a new energy photovoltaic control system that can monitor the environment and component status in real time, accurately analyze data, intelligently adjust operating parameters, and achieve efficient energy storage and management. Summary of the invention

[0005] The purpose of the present invention is to provide a high-efficiency new energy photovoltaic control system to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions:.

[0007] A high-efficiency new energy photovoltaic control system, comprising:

[0008] Intelligent monitoring unit: collects environmental data such as light intensity, temperature, and wind speed in real time, and monitors the working status of photovoltaic modules;

[0009] Data analysis module: Use big data algorithms to analyze environmental data and the operating status of photovoltaic modules to predict power generation and optimize system regulation;

[0010] Control strategy module: dynamically adjusts the angle and operating parameters of photovoltaic modules according to data analysis results to ensure maximum power generation efficiency under different weather and time conditions;

[0011] Energy storage unit: Combined with advanced energy storage technology, it can store excess electricity during peak photovoltaic power generation periods for use during low power generation periods;

[0012] User Interface: Provides an intuitive operating interface that allows users to view system performance, control parameters, and power generation data in real time.

[0013] Preferably, the intelligent monitoring unit consists of the following parts:

[0014] Sensors: used to detect environmental parameters and equipment status. Sensors include:

[0015] Light sensor, temperature sensor, humidity sensor, wind speed sensor, current and voltage sensor;

[0016] Microprocessor: The core part responsible for data acquisition, processing and communication, usually a low-power, high-performance microcontroller;

[0017] Communication module: used for wireless transmission of data, including Wi-Fi module, Bluetooth module or other short-range communication module;

[0018] Power management unit: responsible for providing stable power supply to the intelligent monitoring unit, including batteries, solar panels and charging management circuits.

[0019] Preferably, the data analysis module consists of the following parts:

[0020] Data management systems: used to store and manage large amounts of data, including databases and data warehouses;

[0021] Data analysis algorithms: A variety of algorithms are used to analyze data, including:

[0022] Traditional statistical methods such as linear regression and time series analysis;

[0023] Machine learning methods;

[0024] Prediction model: Establish a prediction model based on the analysis algorithm to provide predictions on power generation and environmental impact;

[0025] User interface: Provides visual reports and user operation interface, allowing users to intuitively understand the system operation status and analysis results.

[0026] Preferably, the control strategy module consists of the following parts:

[0027] Decision engine: core algorithm design, used to process the information received from the data analysis module and generate corresponding control commands;

[0028] Controller: implements the control commands output by the decision engine and adjusts the operating parameters of various parts of the system, including the angle of the PV panels and the inverter settings;

[0029] Communication interface: Exchange data with the intelligent monitoring unit, data analysis module and user interface to achieve two-way transmission of information;

[0030] Strategy library: stores various predefined control strategies and selects the most appropriate strategy for execution according to different environmental conditions and system status.

[0031] Energy storage units usually consist of the following parts:

[0032] Energy storage equipment: mainly includes the following types:

[0033] Lithium-ion battery: has high energy density and long service life;

[0034] Lead-acid batteries: lower cost, but lower energy density and life;

[0035] Supercapacitors: Suitable for short-term high-power needs, fast charging and discharging, often used in combination with other energy storage devices;

[0036] Battery management system: monitors and manages the operating status of energy storage equipment to ensure safe and efficient operation, including battery charge and discharge control, temperature monitoring, and voltage management;

[0037] Inverter: responsible for converting the DC power stored in the energy storage unit into AC power for use by residential or commercial loads, or for connecting to the power grid;

[0038] Control unit: Intelligently adjusts the charging and discharging strategies and operations of energy storage equipment according to power generation and load requirements.

[0039] Preferably, the user interface mainly has the following functions:

[0040] Real-time monitoring: displays the current status of the system, including key indicators of photovoltaic power generation, energy storage status, load demand, and system efficiency;

[0041] Data visualization: Visualize real-time and historical data through charts, dashboards, and other visual elements to help users intuitively understand system operation;

[0042] Control operation: Provide a control panel that enables users to manually adjust system parameters, such as the tilt angle of PV panels and energy storage strategy;

[0043] Alarm and notification: Real-time display of abnormal system status or fault alarms, and provision of corresponding solution suggestions, and timely notification of users to perform maintenance or adjustments;

[0044] Report generation: Allows users to generate and download historical data reports to facilitate long-term analysis and decision-making;

[0045] User management: supports multi-user login and permission setting, so that users with different permissions can access corresponding system functions, ensuring data security and convenient management.

[0046] Compared with the prior art, the present invention provides a high-efficiency new energy photovoltaic control system, which has the following beneficial effects:

[0047] Efficient power generation: The intelligent monitoring unit collects environmental data and monitors the status of photovoltaic modules in real time. The data analysis module performs precise analysis and prediction. The control strategy module dynamically adjusts the angle and operating parameters of photovoltaic modules to maximize power generation efficiency under different conditions.

[0048] Energy optimization management: The energy storage unit combines advanced energy storage technology to store excess electricity during peak power generation and use it during low power generation periods, thereby achieving reasonable allocation of electricity and improving energy utilization efficiency.

[0049] Improved system stability: The collaborative work of various modules, including real-time monitoring, data analysis, strategy adjustment and energy storage, can promptly detect and handle abnormal situations to ensure stable system operation.

[0050] User-friendly and convenient: The user interface provides intuitive operation and monitoring functions, allowing users to understand system performance, control parameters and power generation data in real time and make necessary manual adjustments. It also supports multi-user management to ensure data security.

[0051] Strong adaptability: The entire system can adapt to different weather, time and load conditions, flexibly adjust operation strategies, and improve the adaptability and reliability of the system in various environments.

[0052] Cost savings: Efficient power generation and energy management reduce dependence on external power grids, reduce energy costs, extend equipment life and reduce maintenance costs.

[0053] Environmental protection and sustainability: It optimizes the utilization of photovoltaic power generation, promotes the large-scale application of renewable energy, reduces dependence on traditional fossil energy, and is conducive to environmental protection and sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] The present invention provides Figure 1 A high-efficiency new energy photovoltaic control system is shown, comprising:

[0057] Intelligent monitoring unit: collects environmental data such as light intensity, temperature, and wind speed in real time, and monitors the working status of photovoltaic modules;

[0058] Data analysis module: Use big data algorithms to analyze environmental data and the operating status of photovoltaic modules to predict power generation and optimize system regulation;

[0059] Control strategy module: dynamically adjusts the angle and operating parameters of photovoltaic modules according to data analysis results to ensure maximum power generation efficiency under different weather and time conditions;

[0060] Energy storage unit: Combined with advanced energy storage technology, it can store excess electricity during peak photovoltaic power generation periods for use during low power generation periods;

[0061] User Interface: Provides an intuitive operating interface that allows users to view system performance, control parameters, and power generation data in real time.

[0062] The intelligent monitoring unit consists of the following parts:

[0063] Sensors: used to detect environmental parameters and equipment status. Sensors include:

[0064] Light sensor, temperature sensor, humidity sensor, wind speed sensor, current and voltage sensor;

[0065] Microprocessor: The core part responsible for data acquisition, processing and communication, usually a low-power, high-performance microcontroller;

[0066] Communication module: used for wireless transmission of data, including Wi-Fi module, Bluetooth module or other short-range communication module;

[0067] Power management unit: responsible for providing stable power supply to the intelligent monitoring unit, including batteries, solar panels and charging management circuits.

[0068] How it works

[0069] The workflow of the intelligent monitoring unit can be summarized into the following steps:

[0070] Data collection:

[0071] The sensors collect the environmental parameters around the photovoltaic system and the operating status of the photovoltaic components regularly or in real time.

[0072] Data processing:

[0073] The collected data are preliminarily processed by a microprocessor, including data filtering and noise removal to improve data quality.

[0074] Data transmission:

[0075] The processed data is uploaded to the data analysis module or cloud server through the communication module.

[0076] Data storage and analysis:

[0077] The server or data analysis module stores and analyzes the received data to identify power generation trends and equipment status.

[0078] Alarm and feedback:

[0079] Based on the analysis results, if an abnormal situation is found, an alarm notification will be sent through the user interface or communication means to ensure timely maintenance and adjustments.

[0080] The data analysis module consists of the following parts:

[0081] Data management system: used to store and manage large amounts of data, including databases (such as MySQL, MongoDB, etc.) and data warehouses;

[0082] Data analysis algorithms: A variety of algorithms are used to analyze data, including:

[0083] Traditional statistical methods such as linear regression and time series analysis

[0084] Machine learning methods (such as regression analysis, decision trees, random forests, neural networks, etc.)

[0085] Prediction model: A prediction model is established based on the analysis algorithm to provide predictions on power generation, environmental impact, etc.

[0086] User interface: Provides visual reports and user operation interface, allowing users to intuitively understand the system operation status and analysis results.

[0087] How it works

[0088] The workflow of the data analysis module can be summarized into the following steps:

[0089] Data reception and storage:

[0090] Real-time data is received periodically from the smart monitoring units and stored in a database.

[0091] Data preprocessing:

[0092] The received data is cleaned and transformed to remove incomplete, duplicate, or unreliable data.

[0093] Data Analysis:

[0094] Apply statistical or machine learning algorithms to conduct in-depth analysis of the data, including trend analysis and anomaly detection, to identify key factors affecting power generation efficiency.

[0095] Model training and optimization:

[0096] The prediction model is trained using historical data to improve its ability to predict future power generation.

[0097] Decision support:

[0098] Generate control strategies based on the analysis results, and feed back corresponding operation suggestions to the control strategy module to optimize system operation.

[0099] Results:

[0100] The analysis results are visualized through the user interface, providing real-time monitoring and operation data for users to manage and adjust.

[0101] The control strategy module usually consists of the following parts:

[0102] Decision engine: The core algorithm is designed to process the information received from the data analysis module and generate corresponding control commands.

[0103] Controller: Implements the control commands output by the decision engine and adjusts the operating parameters of various parts of the system, including the angle of the PV panels, inverter settings, etc.

[0104] Communication interface: Exchanges data with the intelligent monitoring unit, data analysis module and user interface to achieve two-way transmission of information.

[0105] Strategy library: stores various predefined control strategies and selects the most appropriate strategy for execution according to different environmental conditions and system status.

[0106] How it works

[0107] The workflow of the control strategy module can be summarized into the following steps:

[0108] Information Receiving:

[0109] Receive real-time analysis results from the data analysis module, including environmental data, power generation efficiency prediction, equipment status and other information.

[0110] Strategy selection:

[0111] According to the current environmental conditions and system status, select the appropriate control strategy from the strategy library, or generate a new strategy based on historical operation data.

[0112] The command generates:

[0113] Generate specific control commands to adjust the tilt angle of PV panels, battery energy storage strategy, inverter operating mode, etc.

[0114] Execution Control:

[0115] The controller executes the generated instructions and adjusts the system operating parameters to ensure that the photovoltaic system operates in the best condition.

[0116] Feedback and Optimization:

[0117] Monitor the performance of the adjusted system and collect feedback information to optimize subsequent decision-making processes and adjustment strategies and enhance the system's adaptive capabilities.

[0118] User Interaction:

[0119] The current system status and adjustment results are fed back through the user interface, allowing users to understand the system operation status and make necessary manual adjustments.

[0120] Energy storage units usually consist of the following parts:

[0121] Energy storage equipment: mainly includes the following types:

[0122] Lithium-ion batteries: have high energy density and long service life, suitable for most photovoltaic systems.

[0123] Lead-acid batteries: Lower cost, but lower energy density and life, suitable for small systems.

[0124] Supercapacitor: Suitable for short-term high-power needs, fast charging and discharging, often used in combination with other energy storage devices.

[0125] Battery Management System (BMS): monitors and manages the operating status of energy storage equipment to ensure safe and efficient operation, including battery charge and discharge control, temperature monitoring, voltage management, etc.

[0126] Inverter: Responsible for converting the DC power stored in the energy storage unit into AC power for use by residential or commercial loads, or for connecting to the grid.

[0127] Control unit: Intelligently adjusts the charging and discharging strategies and operations of energy storage equipment according to power generation and load requirements.

[0128] How it works

[0129] The workflow of the energy storage unit can be summarized into the following steps:

[0130] Electrical Energy Storage:

[0131] When the power generated by the PV panels exceeds the load demand, the inverter converts the DC power into AC power and then stores the excess power in the energy storage device through the control unit.

[0132] Electric energy release:

[0133] When photovoltaic power generation is insufficient to meet load demand, the control unit instructs the inverter to release electrical energy from the energy storage device and convert it into AC power to supply the load.

[0134] Condition Monitoring:

[0135] The battery management system of an energy storage device continuously monitors the status of the battery, including charge, temperature and health, to ensure safe and efficient operation.

[0136] Intelligent Adjustment:

[0137] The control unit flexibly adjusts the charging and discharging strategy based on the information provided by the data analysis module to maximize the efficiency of power utilization. For example, when the power generation forecast is high, it will prioritize storing power, while when the load demand increases, it will prioritize releasing power.

[0138] Collaboration with other systems:

[0139] The energy storage unit can work seamlessly with the control strategy module and the intelligent monitoring unit to form an intelligent and automated power management system to ensure that power supply can meet demand at any time.

[0140] The user interface mainly has the following functions:

[0141] Real-time monitoring: Displays the current status of the system, including key indicators such as photovoltaic power generation, energy storage status, load demand, and system efficiency.

[0142] Data visualization: Visualize real-time and historical data through charts, dashboards, and other visual elements to help users intuitively understand system operation.

[0143] Control operation: Provide a control panel that enables users to manually adjust system parameters, such as the tilt angle of PV panels, energy storage strategy, etc.

[0144] Alarm and notification: Real-time display of abnormal system status or fault alarms, and provision of corresponding solution suggestions, notifying users in time to perform maintenance or adjustments.

[0145] Report Generation: Allows users to generate and download historical data reports to facilitate long-term analysis and decision-making.

[0146] User management: supports multi-user login and permission setting, so that users with different permissions can access corresponding system functions, ensuring data security and convenient management.

[0147] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-efficiency new energy photovoltaic control system, characterized in that: include: Intelligent monitoring unit: collects environmental data such as light intensity, temperature, and wind speed in real time, and monitors the working status of photovoltaic modules; Data analysis module: Use big data algorithms to analyze environmental data and the operating status of photovoltaic modules to predict power generation and optimize system regulation; Control strategy module: dynamically adjusts the angle and operating parameters of photovoltaic modules according to data analysis results to ensure maximum power generation efficiency under different weather and time conditions; Energy storage unit: Combined with advanced energy storage technology, it can store excess electricity during peak photovoltaic power generation periods for use during low power generation periods; User Interface: Provides an intuitive operating interface that allows users to view system performance, control parameters, and power generation data in real time.

2. According to claim 1, a high-efficiency new energy photovoltaic control system is characterized by: The intelligent monitoring unit consists of the following parts: Sensors: used to detect environmental parameters and equipment status. Sensors include: Light sensor, temperature sensor, humidity sensor, wind speed sensor, current and voltage sensor; Microprocessor: The core part responsible for data acquisition, processing and communication, usually a low-power, high-performance microcontroller; Communication module: used for wireless transmission of data, including Wi-Fi module, Bluetooth module or other short-range communication module; Power management unit: responsible for providing stable power supply to the intelligent monitoring unit, including batteries, solar panels and charging management circuits.

3. A high-efficiency new energy photovoltaic control system according to claim 1, characterized in that: The data analysis module consists of the following parts: Data management systems: used to store and manage large amounts of data, including databases and data warehouses; Data analysis algorithms: A variety of algorithms are used to analyze data, including: Traditional statistical methods such as linear regression and time series analysis; Machine learning methods; Prediction model: Establish a prediction model based on the analysis algorithm to provide predictions on power generation and environmental impact; User interface: Provides visual reports and user operation interface, allowing users to intuitively understand the system operation status and analysis results.

4. A high-efficiency new energy photovoltaic control system according to claim 1, characterized in that: The control strategy module consists of the following parts: Decision engine: core algorithm design, used to process the information received from the data analysis module and generate corresponding control commands; Controller: implements the control commands output by the decision engine and adjusts the operating parameters of various parts of the system, including the angle of the PV panels and the inverter settings; Communication interface: Exchange data with the intelligent monitoring unit, data analysis module and user interface to achieve two-way transmission of information; Strategy library: stores various predefined control strategies and selects the most appropriate strategy for execution according to different environmental conditions and system status.

5. The high-efficiency new energy photovoltaic control system according to claim 1 is characterized by: Energy storage units usually consist of the following parts: Energy storage equipment: mainly includes the following types: Lithium-ion battery: has high energy density and long service life; Lead-acid batteries: lower cost, but lower energy density and life; Supercapacitors: Suitable for short-term high-power needs, fast charging and discharging, often used in combination with other energy storage devices; Battery management system: monitors and manages the operating status of energy storage equipment to ensure safe and efficient operation, including battery charge and discharge control, temperature monitoring, and voltage management; Inverter: responsible for converting the DC power stored in the energy storage unit into AC power for use by residential or commercial loads, or for connecting to the power grid; Control unit: Intelligently adjusts the charging and discharging strategies and operations of energy storage equipment according to power generation and load requirements.

6. The high-efficiency new energy photovoltaic control system according to claim 1 is characterized by: The user interface mainly has the following functions: Real-time monitoring: displays the current status of the system, including key indicators of photovoltaic power generation, energy storage status, load demand, and system efficiency; Data visualization: Visualize real-time and historical data through charts, dashboards, and other visual elements to help users intuitively understand system operation; Control operation: Provide a control panel that enables users to manually adjust system parameters, such as the tilt angle of PV panels and energy storage strategy; Alarm and notification: Real-time display of abnormal system status or fault alarms, and provision of corresponding solution suggestions, and timely notification of users to perform maintenance or adjustments; Report generation: Allows users to generate and download historical data reports to facilitate long-term analysis and decision-making; User management: supports multi-user login and permission setting, so that users with different permissions can access corresponding system functions, ensuring data security and convenient management.

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