Location for fault string of photovoltaic array based on current time series change detection

被引：7
|
作者：
Chen, Guodeng [1 ,2 ,3 ]
Lin, Peijie [1 ,2 ,3 ]
Lai, Yunfeng [1 ,2 ,3 ]
Chen, Zhicong [1 ,2 ,3 ]
Wu, Lijun [1 ,2 ,3 ]
Cheng, Shuying [1 ,2 ,3 ]
机构：
[1] Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350116, Fujian, Peoples R China
[2] Fuzhou Univ, Inst Micronano Devices & Solar Cells, Fuzhou 350116, Fujian, Peoples R China
[3] Jiangsu Collaborat Innovat Ctr Photovolta Sci & E, Changzhou 213164, Peoples R China
来源：
RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID | 2018年 / 145卷
基金：
中国国家自然科学基金;
关键词：
Photovoltaic array; fault detection; time series; local outlier factor; CHALLENGES; MODULES;
D O I：
10.1016/j.egypro.2018.04.067
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Various faults inevitably occur in photovoltaic (PV) array due to the harsh external working environment. Therefore, detecting the faults and theirs locations is essential for the PV array. In this paper we propose a method for detecting the faults and their locations based on time series of PV string current. A time series sliding window (TSSW) is adopted. The local outlier factor (LOF) of each current point in the TSSW is calculated. Once a number of LOFs are continuously detected to exceed the threshold value, the PV string can be judged as fault. The experiment results show that the proposed method can detect short circuit fault, open circuit fault and shadow fault for PV string under different irradiance. Copyright (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：406 / 412
页数：7
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