研究目的
To design an effective and economical on-line monitoring system for photovoltaic (PV) power plants with fault diagnosis capabilities.
研究成果
The proposed on-line monitoring system based on an open-source platform effectively monitors and diagnoses faults in PV arrays with high accuracy. The system's design allows for economical and efficient management of PV power plants.
研究不足
The system's effectiveness is demonstrated in a laboratory setting; real-world application may present additional challenges such as varying environmental conditions and larger scale deployments.
1：Experimental Design and Method Selection:
The system design includes data acquisition, transmission, a data gateway, and an on-line monitoring center. A PV diagnosis approach based on FFA-SVM is implemented for fault diagnosis.
2：Sample Selection and Data Sources:
The system collects operating indicators of PV arrays, including maximum power point (MPP) voltage (Vmpp) and current (Impp), irradiance (G), and temperature (T).
3：List of Experimental Equipment and Materials:
Includes Raspberry Pi 2 as the controller, ZigBee module for wireless communication, GPS module for geographic information, and ubidots platform for data visualization.
4：Experimental Procedures and Operational Workflow:
Data is collected from PV arrays, transmitted via ZigBee network to the data gateway, where fault diagnosis is performed, and then uploaded to the ubidots platform for visualization.
5：Data Analysis Methods:
The FFA-SVM algorithm is used for fault diagnosis, with features extracted from PV data for model training and prediction.
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