Fault Diagnosis and Detection Based on Efficiency Loss Test of Photovoltaic Power Station

被引：2

作者：

Xie, Xiangying ^{[1
]}

Meng, Fanteng ^{[1
]}

Luo, Xin ^{[1
]}

Cai, Shixia ^{[1
]}

Ma, Xiaoguang ^{[1
]}

Na, Zhixiong ^{[1
]}

Ma, Dayan ^{[1
]}

Shan, Yu ^{[1
]}

Ge, Leyi ^{[1
]}

Liu, Yunchao ^{[2
]}

机构：

[1] State Grid Elect Commerce Co Ltd, Beijing 100032, Peoples R China

[2] Beijing China Power Informat Technol Co Ltd, Beijing 100192, Peoples R China

来源：

2020 6TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING | 2020年 / 508卷

基金：

国家重点研发计划;

关键词：

D O I：

10.1088/1755-1315/508/1/012060

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：6

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