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Applied research of WT-ANFIS in islanding detection
Pages: 35-42
Year: Issue:  1
Journal: Electric Machines and Control

Keyword:  islanding detectionwavelet transform ( WT)adaptive network based fuzzy inference system ( ANFIS)detail signalscharacteristic vectors;
Abstract: The detecting time is long and non-detection zone ( NDZ) is large for traditional passive islan-ding detection methods, while active methods have some negative effects on power quality. A novel islan-ding detection method was proposed based on wavelet transform ( WT) and adaptive network based fuzzy inference system ( ANFIS) . Firstly, output current of inverter and the voltage of point of common cou-pling ( PCC) were gathered, and then WT was adopted to analyze the current signal and the voltage sig-nal. Secondly, the detail signals on all levels were used to extract characteristic vectors. Lastly, ANFIS used these characteristic vectors to pattern recognition and determine whether there was an island phe-nomenon. The simulation and experiment results show that the proposed method has the advantages that detecting time is short and non-detection zone ( NDZ) is small and effectively identify all kinds of load conditions such as the power of grid-connected inverter match and mismatch the one of local loads,and can be used for single-phase and three-phases photovoltaic grid-connected system.
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