Online fault detection method for photovoltaic array based on dynamic time warping
Cai Yuqiao1, Lin Peijie1, Lin Yaohai2, Zheng Qiao1, Cheng Shuying1
1. School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350108; 2. College of Computer and Information Sciences, Fujian Agriculture and Forest University, Fuzhou 350002
Abstract As the core component of solar power station, online fault decetion of photovoltaic (PV) array is an effective method to improve the efficiency and safety of the entire system. Common online detection methods usually need to monitor multiple parameters without distinguishing the degree of the same type of fault. This paper proposes an online detection method for PV arrays, the only parameter to be monitored by this method is the current of the PV strings of the array, this model is concise and reliable. The real-time data stream of the PV array is transmitted and stored by RabbitMQ system. The pre-processed PV data is detected by the DTW detection algorithm, which can identify the fault degree of the fault. The experiment result shows the effectiveness of the proposed method in a 1.8kW grid-connected PV system.
Cai Yuqiao,Lin Peijie,Lin Yaohai等. Online fault detection method for photovoltaic array based on dynamic time warping[J]. Electrical Engineering, 2020, 21(7): 42-47.
2020, Vol. 21 
