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
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.
徐华电,苏建徽,张军军,刘宁,戴云霞. 基于谐波特征与核Fisher判别分析的 孤岛检测方法研究[J]. 电工技术学报, 2016, 31(3): 25-30.
Xu Huadian, Su Jianhui, Zhang Junjun, Liu Ning ,Dai Yunxia. Research on Islanding Detection Based on Harmonic Characteristics and Kernel Fisher Discriminant Analysis. Transactions of China Electrotechnical Society, 2016, 31(3): 25-30.
[1] 程启明,王映斐,程伊曼,等.分布式发电并网系统中孤岛检测方法的综述研究[J].电力系统保护与控制,2011,39(6):147-154. Cheng Qiming,Wang Yingfei,Cheng Yiman,et al.Overview study on islanding detecting methods for distributed generation grid-connected system[J].Power System Protection and Control,2011,39(6):147-154. [2] 张有兵,穆淼婕,翁国庆.分布式发电系统孤岛检测方法研究[J].电力系统保护与控制,2011,39(1):139-146. Zhang Youbing,Mu Miaojie,Weng Guoqing.Research on islanding detection of distributed power generation systems[J].Power System Protection and Control,2011,39(1):139-146. [3] 谢东,张兴.主动移频式孤岛检测法产生稀释效应机理的分析[J].电力系统保护与控制,2013,41(4):84-90. Xie Dong,Zhang Xing.Analysis of dilution phenomenon for active frequency shift islanding detection method[J].Power System Protection and Control,2013,41(4):84-90. [4] 余运俊,张燕飞,万晓凤,等.光伏微网主动式孤岛检测方法综述[J].电测与仪表,2014,51(1):22-29. Yu Yunjun,Zhang Yanfei,Wan Xiaofeng,et al.Active islanding detection for pv micro-grid:a survey[J].Electrical Measurement & Instrumentation,2014,51(1):22-29. [5] Balaguer-Alvarez I J,Ortiz-Rivera E I.Survey of distributed generation islanding detection methods[J].IEEE Latin America Transactions,2010,8(5):565-570. [6] Liu N,Aljankawey A S,Diduch C P,et al.Performance evaluation for grid impedance based islanding detection method[C]//International Power Electronics Conference (ECCE-ASIA),Hiroshima,Japan,2014:2156-2160. [7] Aljankawey A S,Morsi W G,Chang L,et al.Passive method based islanding detection of renewable-based distributed generation:the issues[C]//Electric Power and Energy Conference (EPEC),Canada,2010:1-8. [8] 青桃,江智军.S变换在孤岛检测中的应用[J].南昌大学学报(理科版),2013,37(1):30-33. Qing Tao,Jiang Zhijun.Application of S-transform in islanding detection[J].Journal of Nanchang University (Natural Science),2013,37(1):30-33. [9] 党震宇,刘智铭,刘冰.基于模式识别的孤岛检测技术[C]//中国自动化学会第二十五届青年学术年会,中国,抚顺,2010:160-165. Dang Zhenyu,Liu Zhiming,Liu Bing.Islanding detection algorithm based on pattern recognition[C]//Chinese Association of Automation Young Twenty-fifth Annual Conference,Fushun,China,2010:160-165. [10]舒宁,马洪超,孙和利.模式识别的理论与方法[M].武汉:武汉大学出版社,2004. [11]Mika S,Ratsch G,Weston J,et al.Fisher discriminant analysis with kernels[C]//IEEE Signal Processing Society Workshop Neural Networks for Signal Processing IX,Madison,WI,1999:41-48. [12]Mika S,Ratsch G,Müller K R.A mathematical programming approach to the kernel Fisher algorithm[C]//Advances in Neural Information Processing Systems,Breckenridge,USA,2000:591-597. [13]邓乃扬,田英杰,支持矢量机——理论、算法与拓展[M].北京:科学出版社,2009. [14]杨国鹏.基于核方法的高光谱影像分类与特征提取[D].郑州:信息工程大学,2007. [15]彭陈松.基于核函数Fisher判别的数据分类算法研究[D].杭州:浙江理工大学,2011. [16]GB/T 19939—2005.光伏系统并网技术要求[S].国家技术监督局,2005.
2016, Vol. 31 
