基于小波奇异熵的电力系统振荡中对称故障的识别算法
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摘要
运用小波分析处理各相故障电流波形,并求各相电流的小波奇异熵的算法,与设定的阈值比较大小以判定是否为故障.在Matlab/Simulink下建立了一个电力系统模型,分别考虑了合闸时刻、过渡电阻、接地距离、振荡频率、噪声等多种因素后,做了大量仿真分析.得出了该算法鲁棒性好,具有干扰因素影响的特点.
A novel algorithm is presented based on wavelet singularity entropy to analyze the current wave after fault occurring.Then each phase current wave is computed.A simulation model is built and simulated in MATLAB/SIMULINK environment.Besides,interference factors such as inception time,ground resistance,fault location,slip frequency and noise are also discussed comprehensively.It is concluded that the algorithm is immune to interference factors and the proposed scheme is robust.
A novel algorithm is presented based on wavelet singularity entropy to analyze the current wave after fault occurring.Then each phase current wave is computed.A simulation model is built and simulated in MATLAB/SIMULINK environment.Besides,interference factors such as inception time,ground resistance,fault location,slip frequency and noise are also discussed comprehensively.It is concluded that the algorithm is immune to interference factors and the proposed scheme is robust.
引文
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[8]ZHANG N,KEZUNOVIC M.Transmission line boundary protection using wavelet transform and neural network[J].IEEE Transactions on Power Delivery,2007,21(4):859-869.
[9]MORAVEJ Z.An effective combined method for symmetrical faults identification during power swing[J].Electrical Power and Energy Systems,2015,64(1):24-34.
[10]ZADEJ H K,LI Z.A novel power swing blocking scheme using adaptive neuro-fuzzy inference system[J].Electrical Power System Research,2008,78(7):1 138-1 146.
[11]MAHAMEDI B,ZHU J.A novel approach to detect symmetrical faults occurring during power swings by using frequency components of instantaneous three-phase active power[J].IEEE Transactions on Power Delivery,2012,27(3):1 368-1 376.
[12]KHODAPARAST J,KHEDERZADEH M.Three-phase fault detection during power swings by transient monitor[J].IEEE Transactions on Power Systen,2015,30(5):2 558-2 564.
[13]符玲,何正友,麦瑞坤,等.小波熵证据的信息融合在电力系统故障诊断中的应用[J].中国电机工程学报,2005,28(13):64-69.
[14]沈刚,周雒维,杜雄,等.基于小波奇异熵理论的IGBT模块键和线脱落故障特征分析[J].中国电机工程学报,2013,28(6):165-171.
[15]王冰,刁鸣,宋凯.基于小波奇异熵和相关向量机的氢气传感器故障诊断[J].电机与控制学报,2015,19(1):96-101.
[2]LIN X,GAO Y,LIU P.A novel scheme to identify symmetrical faults occurring during power swings[J].IEEE Transactions on Power Delivery,2008,21(1):73-81.
[3]NAYAK P,BAJPAI P.A fault detection technique for the series compensated lineduring power swings[J].IEEE Transactions on Power Delivery,2013,28(2):1 836-1 841.
[4]MECHRAOUI A,THOMAS D W P.A newblocking principle with phase and earth fault detection during fast power swings for distance protection[J].IEEE Transactions on Power Delivery,1995,10(3):1 242-1 248.
[5]MECHRAOUI A,THOMAS D W P.A newprinciple for high resistance earth fault detection during fast power swings for distance protection[J].IEEE Transactions on Power Delivery,1997,12(4):1 452-1 457.
[6]BRAHMA S M.Distance relay with out-of-step blocking function using wavelet transform[J].IEEE Transactions on Power Delivery,2007,22(3):1 360-1 366.
[7]FAIZ J,LOTFI Fard S.A novel wavelet-based algorithm for discrimination of internal faults from magnetizing inrush currents in power transformers[J].IEEE Transactions on Power Delivery,2006,21(4):1 989-1 996.
[8]ZHANG N,KEZUNOVIC M.Transmission line boundary protection using wavelet transform and neural network[J].IEEE Transactions on Power Delivery,2007,21(4):859-869.
[9]MORAVEJ Z.An effective combined method for symmetrical faults identification during power swing[J].Electrical Power and Energy Systems,2015,64(1):24-34.
[10]ZADEJ H K,LI Z.A novel power swing blocking scheme using adaptive neuro-fuzzy inference system[J].Electrical Power System Research,2008,78(7):1 138-1 146.
[11]MAHAMEDI B,ZHU J.A novel approach to detect symmetrical faults occurring during power swings by using frequency components of instantaneous three-phase active power[J].IEEE Transactions on Power Delivery,2012,27(3):1 368-1 376.
[12]KHODAPARAST J,KHEDERZADEH M.Three-phase fault detection during power swings by transient monitor[J].IEEE Transactions on Power Systen,2015,30(5):2 558-2 564.
[13]符玲,何正友,麦瑞坤,等.小波熵证据的信息融合在电力系统故障诊断中的应用[J].中国电机工程学报,2005,28(13):64-69.
[14]沈刚,周雒维,杜雄,等.基于小波奇异熵理论的IGBT模块键和线脱落故障特征分析[J].中国电机工程学报,2013,28(6):165-171.
[15]王冰,刁鸣,宋凯.基于小波奇异熵和相关向量机的氢气传感器故障诊断[J].电机与控制学报,2015,19(1):96-101.