Intelligent islanding detection method for photovoltaic power system based on Adaboost algorithm. Issue 18 (29th July 2020)

• Record Type: Journal Article
• Authors: Ke, Jia; Zhengxuan, Zhu; Zhe, Yang; Yu, Fang; Tianshu, Bi; Jiankang, Zhang
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 18(2020)
• Page Start: 3630
• Page End: 3640
• Publication Date: 2020-07-29
• Subjects: learning (artificial intelligence) -- pattern classification -- power supply quality -- power distribution faults -- photovoltaic power systems; intelligent islanding detection method -- photovoltaic power system -- Adaboost algorithm -- universal islanding detection methods -- PV -- nondetection zone -- NDZ -- disturbance signals -- active detection methods -- passive intelligent IDM -- improved Adaptive Boosting algorithm -- classification model -- passive methods -- islanding operation -- short‐term power quality interferences -- disturbance signal interference -- active methods -- parallel multi‐PV system; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.6841
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : The universal islanding detection methods (IDMs) for photovoltaic (PV) power systems require manually thresholds setting. That will lead to a certain non‐detection zone (NDZ). Moreover, disturbance signals injected by active detection methods may adversely affect power quality. Aiming at the above problems, this study proposes a passive intelligent IDM for parallel multi‐PV system based on improved Adaptive Boosting (Adaboost) algorithm. Using Adaboost algorithm to generate classification models for islanding detection can theoretically avoid the NDZ of passive methods. The proposed method takes advantage of the electrical connection between characteristic parameters to adjust the classification model and improves the detection ability by redistributing the weight of each sub‐model. Simulation results show that when adopted to a multi‐PV system, the proposed method can effectively distinguish islanding operation in the NDZs of conventional passive IDMs. The method can also achieve accurate detection in the case of short‐term power quality interferences, line faults and disturbance signal interference injected by active methods.