The existing operation and maintenance system of photovoltaic power station can analyze partial equipment problems, but due to the data storage, processing and transmission capacity can hardly meet the requirements of a large number of operation data acquisitions and processing of photovoltaic power station, the operation status of photovoltaic power station cannot be comprehensively evaluated. This paper proposes to analyze the overall efficiency and key link efficiency of the photovoltaic system through long-term monitoring, extract the efficiency model parameters of the key components and important links of the photovoltaic power station, and establish the performance evaluation implementation process. At the same time, based on different actual detection conditions, photovoltaic fault diagnosis is carried out by time domain reflectometry, prediction theory comparison and sensor optimization.
The Internet of things integrates traditional technologies with communication, information, sensing and other technologies to achieve comprehensive perception, intelligent processing, reliable transmission of traditional physical facilities. Photovoltaic power application market has developed over a decade, with a continuously expanding installed scale and the conditions of grid parity have been provided preliminarily. In this paper, photovoltaic distribution is proposed to replace large centralized ground power stations in the future and become the main force of photovoltaic power generation. In addition, intelligent photovoltaic Internet of things (iot) system with comprehensive perception, cloud-side collaboration and whole-process data sharing and integration is designed.
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