基于电流时间序列的光伏故障在线监测系统

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Abstract 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. Therefore, this paper designed a PV online monitoring system based on DSP and adopted a method for detecting the faults based on time series of PV string current. In the fault detection method, 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 partial shadow fault. And the system can also monitor the current, voltage, irradiance and temperature of PV generation in real time.

Key words： photovoltaic array fault detection current time series local outlier factor

Received: 27 December 2017 Published: 19 June 2018

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	Articles by authors
	Chen Guodeng
	Lin Peijie
	Lai Yunfeng
	Cheng Shuying
	Chen Zhicong

Cite this article:

Chen Guodeng,Lin Peijie,Lai Yunfeng等. Fault online monitoring system of photovoltaic based on current time series[J]. Electrical Engineering, 2018, 19(6): 20-25.

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http://dqjs.cesmedia.cn/EN/Y2018/V19/I6/20

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