融合MBD一致性推理与Petri网模式辨识的配电网故障诊断方法
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摘要
基于模型诊断的溯因性推理不但要求诊断的故障假说与观测量匹配,而且还要求根据观测信息推断出故障假说状态,因此存在着建模复杂、效率低的问题。而基于Petri网的诊断方法具有严格的数学逻辑,能够实现快速的矩阵运算,建模简单、效率高。将Petri网应用到配电网的故障模式辨识中,并且与基于模型诊断的一致性推理结合,形成一种快速高效的配电网故障定位方法。该方法不仅能够快速、准确地诊断出故障元件,而且能够诊断出故障模式。
Model diagnosis based traceability reasoning requires not only the matching of fault hypothesis to observation, but also fault hypothesis state inferred from the observation information, it has the problems of complex modeling and low efficiency. Petri net based diagnosis method has strict mathematical logic, and can realize fast matrix operation, simple modeling and high efficiency. The paper uses the Petri net to indentify the fault mode of distribution network, can locate the fault component quickly and accurately by combining with consistency reasoning based on the model diagnosis, and recognize the fault pattern.
Model diagnosis based traceability reasoning requires not only the matching of fault hypothesis to observation, but also fault hypothesis state inferred from the observation information, it has the problems of complex modeling and low efficiency. Petri net based diagnosis method has strict mathematical logic, and can realize fast matrix operation, simple modeling and high efficiency. The paper uses the Petri net to indentify the fault mode of distribution network, can locate the fault component quickly and accurately by combining with consistency reasoning based on the model diagnosis, and recognize the fault pattern.
引文
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[15]杨健维,何正友.基于时序模糊Petri网的电力系统故障诊断[J].电力系统自动化,2011,35(15):46-51.YANG Jianwei, HE Zhengyou. Power system fault diagnosis approach based on time sequence fuzzy Petri net[J]. Automation of Electric Power Systems, 2011,35(15):46-51.
[16] LUO X, KEZUNOVIC M. Implementing fuzzy reasoning Petri-nets for fault section estimation[J]. IEEE Transactions on Power Delivery, 2008, 23(2):676-685.
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[18]刘全,王飞,严星,等.含分布式光伏电源的配电网故障分析与研究[J].智慧电力,2018,46(8):79-83.LIU Quan, WANG Fei, YAN Xing, et al. Analysis of distribution network faults with distributed photovoltaic power supply[J]. Smart Power, 2018, 46(8):79-83.
[19]程学珍,陈强,于永进,等.基于最大似然译码字的Petri网电网故障诊断方法[J].电工技术学报,2015, 30(15):46-52.CHENG Xuezhen, CHEN Qiang, YU Yongjin, et al. A fault diagnosis approach of power networks based on maximum likelihood decoding Petri net models[J].Transactions of China Electrotechnical Society, 2015, 30(15):46-52.
[20]孙雅明,吕航.Petri网和冗余纠错技术结合的配网故障区段定位新方法[J].中国电机工程学报,2004, 24(10):61-67.SUN Yaming, LYU Hang. A new approach of the fault section locating for distribution systems based on Petrinets in combination with redundant correcting technique[J]. Proceedings of the CSEE, 2004, 24(10):61-67.
[2]肖浩,裴玮,邓卫,等.分布式电源对配电网电压的影响分析及其优化控制策略[J].电工技术学报,2016, 31(1):203-213.XIAO Hao, PEI Wei, DENG Wei, et al. Analysis of the impact of distributed generation on distribution network voltage and its optimal control strategy[J]. Transactions of China Electrotechnical Society, 2016, 31(1):203-213.
[3]王艳松,刘珊,衣京波,等.基于状态估计的含分布式电源树状配电网故障测距算法[J].电力系统保护与控制,2018, 23(46):1-8.WANG Yansong, LIU Shan, YI Jingbo, et al. Fault location algorithm based on state estimation in tree distribution network with distributed generation[J]. Power System Protection and Control, 2018,23(46):1-8.
[4]李咸善,王锦龙,杨丝琪,等.基于RBHPSO-GSA算法的微电网优化运行方法[J].智慧电力,2018, 46(9):26-32.LI Xianshan, WANG, Jinlong, YANG Siqi, et al.Optimal operation of micro-grid based on RBHPSO-GSA algo-rithm[J]. Smart Power, 2018, 46(9):26-32.
[5]方敏,茹继锋,王峻.基于第一原理的实用故障诊断算法[J].东南大学学报,1999, 29(3):83-88.FANG Min, RU Jifeng, WANG Jun. A practical algorithm of diagnosis from first principles[J]. Journal of Southeast University, 1999, 29(3):83-88.
[6]姜云飞,林笠.用布尔代数计算最小碰集[J].计算机学报,2003,26(8):920-924.JIANG Yunfei, LIN Li. The computation of hitting sets with Boolean formulas[J]. Chinese Journal of Computers,2003, 26(8):920-924.
[7] SIDHU A, IZADIAN A, ANWAR S. Adaptive nonlinear model based fault diagnosis of liion batteries[J]. IEEE Transactions on Industrial Electronics, 2015, 62(2):1002-1011.
[8] MENGSHOEL 0 J, CHAVIRA M, CASCIO K, et al.Probabilistic model based diagnosis:an electrical power system case study[J]. IEEE Transactions on Systems Man&Cybernetics Part A Systems&Humans, 2010, 40(5):874-885.
[9] HU K T, LIU Z G, HUANG K, et al. Improved differential evolution algorithm of model-based diagnosis in traction substation fault diagnosis of high-speed railway[J]. IET Electrical System in Transportation. 2016, 6(3):163-169.
[10] LIU Z G, HU K T. A model-based diagnosis system for traction power supply system[J]. IEEE Transaction on Industrial Informatics. 2017,13(6):2834-2843.
[11]胡非,刘志刚,范福强,等.配电网线路故障的基于模型诊断方法[J].电力系统自动化,2012, 36(10):56-60.HU fei, LIU Zhigang, FAN Fuqiang, et al. Distrbution network line fault diagnosis with model based methed[J].Automation of Electric Power Systems, 2012, 36(10):56-60.
[12]关龙,刘志刚,何士玉,等.离散二进制粒子群算法在基于模型配电网故障诊断中的应用[J].电力自动化设备,2013, 33(09):89-92.GUAN Long, LIU Zhigang, HE Shiyu, et al. Application of BPSO algorithm in model based fault diagnosis of distribution network[J]. Electric Power AutomationEquipment, 2013, 33(09):89-92.
[13]胡非.MBD在配电网故障诊断中的应用研究[D].西南交通大学,2011.
[14]关龙,刘志刚,徐建芳,等.基于模型的配电网故障诊断关键问题研究[J].电力系统保护与控制,2012, 40(20):145-150.GUAN Long, LIU Zhigang, XU Jianfang, et al. Key issues with model based diagnosis in distribution network[J]. Power System Protection and Control, 2012, 40(20):145-150.
[15]杨健维,何正友.基于时序模糊Petri网的电力系统故障诊断[J].电力系统自动化,2011,35(15):46-51.YANG Jianwei, HE Zhengyou. Power system fault diagnosis approach based on time sequence fuzzy Petri net[J]. Automation of Electric Power Systems, 2011,35(15):46-51.
[16] LUO X, KEZUNOVIC M. Implementing fuzzy reasoning Petri-nets for fault section estimation[J]. IEEE Transactions on Power Delivery, 2008, 23(2):676-685.
[17]陈强,程学珍,刘建航,等.基于分层变迁的WFPN电网故障分析[J].电工技术学报,2016, 31(15):125-135.CHEN Qiang, CHENG Xuezhen, Liu Jianhang, et al. The analysis method of power grid fault based on hierarchical transition weighted fuzzy petri-net[J].Transactions of China Electrotechnical Society, 2016, 31(15):125-135.
[18]刘全,王飞,严星,等.含分布式光伏电源的配电网故障分析与研究[J].智慧电力,2018,46(8):79-83.LIU Quan, WANG Fei, YAN Xing, et al. Analysis of distribution network faults with distributed photovoltaic power supply[J]. Smart Power, 2018, 46(8):79-83.
[19]程学珍,陈强,于永进,等.基于最大似然译码字的Petri网电网故障诊断方法[J].电工技术学报,2015, 30(15):46-52.CHENG Xuezhen, CHEN Qiang, YU Yongjin, et al. A fault diagnosis approach of power networks based on maximum likelihood decoding Petri net models[J].Transactions of China Electrotechnical Society, 2015, 30(15):46-52.
[20]孙雅明,吕航.Petri网和冗余纠错技术结合的配网故障区段定位新方法[J].中国电机工程学报,2004, 24(10):61-67.SUN Yaming, LYU Hang. A new approach of the fault section locating for distribution systems based on Petrinets in combination with redundant correcting technique[J]. Proceedings of the CSEE, 2004, 24(10):61-67.