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| Research on Islanding Detection Based on Harmonic Characteristics and Kernel Fisher Discriminant Analysis |
| Xu Huadian1, Su Jianhui1, Zhang Junjun2, Liu Ning1 ,Dai Yunxia1 |
1.Research Center for Photovoltaic System Engineering of Ministry of Education Hefei University of Technology Hefei 230009 China
2.China Electric Power Research Institute Nanjing Nanjing 210003 China |
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Abstract A novel islanding detecting method of distributed generation (DG) based on harmonic characteristics and kernel fisher discriminant analysis (KFDA) is proposed.The basic idea is to first extract the harmonic amplitudes to form the feature vectors from the voltage of the point of common coupling (PCC) and the output current of the inverter,and then classify them via KFDA to determine whether islanding occurs.The experiment results show that this method is faster than traditional passive methods in islanding detection,can still accurately detect islanding in the state of power equilibrium,and is not easily affected by system transient effect.At the same time,there is no negative impact on the power quality because of no-injected-disturbance to the electric power system in this method.The method overcomes the shortcomings of active methods and has high accuracy and reliability.
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Received: 25 January 2015
Published: 25 February 2016
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2016, Vol. 31 
