孙明蔚;童晓阳;刘新宇;甄威;王晓茹;

• 1:西南交通大学电气工程学院
• 2:四川省电力科学研究院

摘要(Abstract)：

电网故障时有大量报警产生,充分利用报警信号及其时序信息,处理好保护与断路器误动、拒动、信息缺失等不确定性情况,对于电网故障诊断显得非常重要。时序贝叶斯知识库(temporal Bayesian knowledge bases,TBKB)能够清晰表达多个事件之间的时序约束关系,并具备贝叶斯网络的推理能力。建立了基于TBKB的电网故障诊断模型,提出了元件故障与保护动作、保护动作与相应断路器跳闸等之间的时序因果关系(TCR)表达、时序约束一致性检查方法。根据电网结构,可先在线搜索出疑似元件,再对它们自动构造TBKB模型。针对信息缺失节点的状态进行假设,形成假设状态组合。针对这些状态组合,通过贝叶斯反向、正向推理,可判断故障元件,误动与拒动的保护与断路器。多个算例验证了该方法的有效性。

关键词(KeyWords)： 电网故障诊断;时序贝叶斯知识库;时序约束

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51377137,51377136)~~

作者(Author): 孙明蔚;童晓阳;刘新宇;甄威;王晓茹;

Email:

DOI:

参考文献(References)：

• [1]刘超,何正友,杨建维.基于量子神经网络的电网故障诊断算法[J].电网技术,2008,32(9):56-59.Liu Chao,He Zhengyou,Yang Jianwei.A quantum neural network based fault diagnosis algorithm for power grid[J].Power System Technology,2008,32(9):56-59(in Chinese).
• [2]赵冬梅,张旭,张东英,等.基于模式匹配的地区电网故障诊断[J].电网技术,2012,36(12):124-129.Zhao Dongmei,Zhang Xu,Zhang Dongying,et al.Pattern matching based fault diagnosis for regional power grid[J].Power System Technology,2012,36(12):124-129(in Chinese).
• [3]赵冬梅,张旭,张东英,等.地区电网故障诊断基本分析模式研究[J].电网技术,2012,36(11):184-191.Zhao Dongmei,Zhang Xu,Zhang Dongying,et al.Basic analysis modes of fault diagnosis for regional power grid[J].Power System Technology,2012,36(11):184-191(in Chinese).
• [4]潘超,岳建平,刘冰,等.基于适应型Petri网的电网故障诊断方法[J].电网技术,2008,32(1):46-50.Pan Chao,Yue Jianping,Liu Bing,et al.An adaptive Petri network based approach to diagnose power network faults[J].Power System Technology,2008,32(1):46-50(in Chinese).
• [5]毕天姝,杨春发,黄少锋,等.基于改进Petri网模型的电网故障诊断方法[J].电网技术,2005,29(21):52-56.Bi Tianshu,Yang Chunfa,Huang Shaofeng,et al.Improved Petri net models based fault diagnosis approach for power networks[J].Power System Technology,2005,29(21):52-56(in Chinese).
• [6]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):1-6.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):1-6(in Chinese).
• [7]何小飞,童晓阳,孙明蔚.基于贝叶斯网络和D-S证据理论的分布式电网故障诊断[J].电力系统自动化,2011,35(10):42-47.He Xiaofei,Tong Xiaoyang,Sun Mingwei.Distributed power system fault diagnosis based on Bayesian network and Dempster-Shafer evidence theory[J].Automation of Electric Power Systems,2011,35(10):42-47(in Chinese).
• [8]Chen Chunlun.Bayesian nets and A-teams for power system fault diagnosis[D].Pittsburgh,PA,USA:Carnegie Mellon University,1992.
• [9]周曙,王晓茹,钱清泉.基于贝叶斯网的分布式电网故障诊断方法[J].电网技术,2010,34(9):76-81.Zhou Shu,Wang Xiaoru,Qian Qingquan.Bayesian networks based distributed fault diagnosis approach for power grids[J].Power System Technology,2010,34(9):76-81(in Chinese).
• [10]李强,徐建政.基于主观贝叶斯方法的电力系统故障诊断[J].电力系统自动化,2007,31(15):46-50.Li Qiang,Xu Jianzheng.Power system fault diagnosis based on subjective Bayesian approach[J].Automation of Electric Power Systems,2007,31(15):46-50(in Chinese).
• [11]郭文鑫,文福拴,廖志伟,等.基于时序约束网络的电力系统在线警报处理解析模型[J].电力系统自动化,2009,33(21):36-42.Guo Wenxin,Wen Fushuan,Liao Zhiwei,et al.An analytic model for power system online alarm processing based on temporal constraint network[J].Automation of Electric Power Systems,2009,33(21):36-42(in Chinese).
• [12]康泰峰,吴文传,张伯明,等.基于时间溯因推理的电网诊断报警方法[J].中国电机工程学报,2010,30(19):84-90.Kang Taifeng,Wu Wenchuan,Zhang Boming,et al.Temporal abductive reasoning based diagnosis and alarm for power grid[J].Proceedings of the CSEE,2010,30(19):84-90(in Chinese).
• [13]Tzachi R,Solomon E S,Eugene S J.Reasoning with BKBs–algorithms and complexity[J].Annals of Mathematics and Artificial Intelligence,2004,40(3-4):403-425.
• [14]Eugene S J,Li Deqing,Wilkinson J T.A framework for reasoning under uncertainty with temporal constraints[C]//Proceedings of the2009 IEEE International Conference on Systems,Man,and Cybernetics.San Antonio,Texas,USA:IEEE,2009:448-454.
• [15]Pioch N J,Melhuish J,Seidel A,et al.Adversarial intent modeling using embedded simulation and temporal Bayesian knowledge bases[C]//Proc SPIE Deference,Security and Sensing.2009:7348.
• [16]Santos E E,Santos E,Jr L,et al.Culturally-infused social network analysis[J].Proc International Conference on Artificial Intelligence,2008,10(3):250-257.
• [17]Santos E,Nguyen J H,Zhao Q,et al.Empirical evaluation of adaptive user modeling in a medical information retrieval application[J].Lecture Notes in Artificial Intelligence,2003,20(16):292-296.
• [18]余鸿,赵向红.湖北电网220 kV线路距离保护整定计算优化[J].华中电力,2006,19(3):31-33.Yu Hong,Zhao Xianghong.Setting calculation optimization of distance protection for 220 kV lines of Hubei power grid[J].Central China Electric Power,2006,19(3):31-33(in Chinese).
• [19]沈其瑜,李天华.220KV电网线路后备保护整定原则的探讨[C]//第28届中国电网调度运行会议论文选集.北京:国家电力调度通信中心,2003.
• [20]沈晓凡,舒治淮,刘宇,等.2009年国家电网公司继电保护装置运行情况[J].电网技术,2011,35(2):189-193.Shen Xiaofan,Shu Zhihuai,Liu Yu,et al.Operation situation of protection relayings of State Grid Corporation of China in 2009[J].Power System Technology,2011,35(2):189-193(in Chinese).