As a crucial carrier of clean energy, the grid connection acceptance of photovoltaic power stations is directly related to their long-term stable operation and power generation efficiency. In this critical phase, accurate monitoring of meteorological data becomes indispensable technical support. The TWS-4B Photovoltaic Meteorological Monitoring Station, launched by Dongguan Lvguang, with its high-precision sensors and intelligent data management, is becoming a benchmark device in the industry, providing solid assurance for the grid connection acceptance of photovoltaic power stations.

The Dongguan Lvguang [Model TWS-4B] Photovoltaic Meteorological Monitoring Station is specifically designed for distributed photovoltaic power stations, residential photovoltaic systems, and small commercial power stations. It is used for real-time monitoring of environmental parameters to optimize power generation efficiency and operation and maintenance management. Developed by Dongguan Lvguang New Energy Technology Co., Ltd., it features mid-to-high-end technical standards in the industry.

Product Features

Multi-parameter Integrated Monitoring: Supports monitoring of over 12 meteorological elements, including total solar radiation, direct radiation, diffuse radiation, ambient temperature and humidity, wind speed and direction, atmospheric pressure, module backplane temperature, illuminance, rainfall, and snow depth.

High Precision and Reliability: Radiation measurement accuracy reaches ±2% (compliant with IEC 61724 standard). The total radiation sensor adopts the FSP series model, while wind speed and direction measurement utilize ultrasonic technology (no mechanical wear). Temperature and humidity errors are ≤0.5°C/±2%RH, meeting WMO Class 2 standards and national standard GB/T 38948-2020 requirements.

Strong Environmental Adaptability: IP66/IP68 protection rating, fully sealed aluminum alloy housing, tested for a wide temperature range of -40°C to +85°C, resistant to sand, dust, salt spray, and heavy rain. Equipment online rate exceeds 99% in harsh environments. Sensor design ensures strong electromagnetic compatibility, making it suitable for extreme regions such as deserts, coastal areas, and plateaus.

Smart Communication and Integration: Supports 4G/Beidou dual-channel, RS485/LoRa, and other multi-mode data transmission methods. High-frequency sampling at 5-second intervals enables real-time data transmission to cloud platforms. Open communication protocols allow seamless integration with photovoltaic power station monitoring systems.

Application Areas

Photovoltaic Power Station Operation and Maintenance Optimization: Precisely quantifies irradiance attenuation, module temperature rise, and dust accumulation losses, guiding cleaning cycles, cooling system operation, and bracket angle adjustments to improve power generation efficiency by 2.1%–18.7%.

Power Station Site Selection and Resource Assessment: Provides long-term meteorological data such as radiation and wind speed for new power stations, assisting in site selection decisions and power generation prediction model construction.

Research and Performance Evaluation: Supports photovoltaic module performance testing (e.g., research on diffuse radiation utilization efficiency of bifacial modules), power station efficiency assessment, and power generation prediction for electricity trading (error reduced to within 7%).

Multi-Scenario Extended Applications: Suitable for distributed power stations, floating photovoltaic projects (monitoring water surface temperature and humidity differences), ecological monitoring stations, and highway meteorological stations.

Accurate Monitoring: The Foundation of Efficient Photovoltaic Power Station Operation

The power generation efficiency of photovoltaic power stations is closely related to meteorological parameters such as solar radiation, ambient temperature, and wind speed. Traditional meteorological monitoring equipment often suffers from incomplete data collection and transmission delays, leading to deviations in power station performance evaluation. The Dongguan Lvguang TWS-4B Photovoltaic Meteorological Monitoring Station adopts a modular design, integrating over ten types of sensors, including total radiation, diffuse radiation, direct radiation, wind speed, wind direction, ambient temperature, and module temperature, enabling comprehensive data collection. Among these, the radiation sensor achieves a measurement accuracy of ±2%, and wind speed measurement error is less than 0.3 m/s, far exceeding industry standards. This high-precision monitoring capability provides reliable data for power generation prediction and efficiency evaluation.

Intelligent Management: From Data Collection to Decision Support

The standout advantage of the TWS-4B Photovoltaic Meteorological Monitoring Station lies in its intelligent data processing capabilities. The device is equipped with a built-in 4G/5G communication module, supporting real-time data transmission to cloud platforms. It utilizes AI algorithms to automatically calibrate and clean abnormal data. For example, when abnormal module temperature increases are detected, the system can automatically correlate radiation data and historical operation records to determine whether it is due to dust blockage or equipment failure and generate early warning reports. This intelligent management approach not only improves acceptance efficiency but also provides data support for subsequent operation and maintenance. Field test data from a photovoltaic power station show that after adopting the TWS-4B Photovoltaic Meteorological Monitoring Station, data processing time during the acceptance phase was reduced by 40%, and human errors decreased by over 60%.

Core Tool for Grid Connection Acceptance

In the grid connection acceptance of photovoltaic power stations, the TWS-4B Photovoltaic Meteorological Monitoring Station plays a role in three main aspects: First, it provides baseline data for performance testing, ensuring that the actual power generation capacity meets design expectations. Second, it assists in completing test items required by grid dispatch, such as low-voltage and reactive power regulation tests. Third, it establishes a long-term meteorological database, providing a basis for power station lifespan evaluation and technical upgrades. According to the "Photovoltaic Power Station Grid Connection Acceptance Specifications" issued by the National Energy Administration, the continuity and accuracy of meteorological data are necessary conditions for acceptance. The industrial-grade protection design of the TWS-4B Photovoltaic Meteorological Monitoring Station (IP65 protection rating) can adapt to extreme environments ranging from -30°C to 70°C, ensuring stable operation under harsh conditions such as sandstorms and salt spray, fully meeting acceptance standards.

Industry Applications and Future Prospects

Currently, the TWS-4B Photovoltaic Meteorological Monitoring Station has been applied in multiple large-scale photovoltaic projects. Continuous monitoring data from the device show that the actual radiation utilization rate of power stations reaches 98.7% of the design value, providing key support for successful grid connection acceptance. As photovoltaic technology evolves, meteorological monitoring equipment is also developing towards higher integration.

From an industry perspective, the refined development of photovoltaic meteorological monitoring stations reflects the deep mining of data value in the new energy sector. The widespread adoption of devices like the TWS-4B not only enhances the economic benefits of individual power stations but also, through big data accumulation, provides foundational support for regional new energy consumption and grid stability research. In the future, with the promotion of the "photovoltaic + energy storage" model, meteorological monitoring data will further integrate with energy storage dispatch systems, becoming critical decision-making parameters for new power systems. In this process, the synergistic advancement of technological innovation and standard improvement will be key to the healthy development of the industry.