Fault Diagnosis Model Based on Improved Fuzzy Petri Net Considering Time Constraints
Bai Zhan1 ,Miao Shihong1, Sun Yanbin2 ,Chen Yiping2 ,Hou Yunhe3
1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China; 2.China Southern Power Grid Company Guangzhou 510623 China; 3.Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong China
Abstract：To utilize the time constraint characteristics of power system fault event records and improve both the accuracy and rapidity of power system fault diagnosis,a fault diagnosis model based on improved fuzzy Petri net considering time constraints is proposed in this paper.Firstly,the relations between unary and binary time constraints of fault event records are analyzed,and the effect of uncertain and missing alarm information on fault diagnosis is also studied deeply.The improved fuzzy Petri net model is established by using virtual directed arcs and production rules of Petri net.Secondly,the time intervals that all alarm information should meet can be acquired by the forward and backward temporal reasoning analysis,and the time sequence inconsistent alarm information can be effectively identified based on the state truth value matrix.Finally,the specific fault diagnosis process and identification rules of relay protection devices are formulated.The simulation results and a real power system fault case indicate that the proposed model can effectively diagnose power system faults,and also has much higher fault tolerance.
白 展,苗世洪,孙雁斌,陈亦平,侯云鹤. 计及时间约束的改进模糊Petri网故障诊断模型[J]. 电工技术学报, 2016, 31(23): 107-115.
Bai Zhan ,Miao Shihong, Sun Yanbin, Chen Yiping,Hou Yunhe. Fault Diagnosis Model Based on Improved Fuzzy Petri Net Considering Time Constraints. Transactions of China Electrotechnical Society, 2016, 31(23): 107-115.
[1] Lee H J,Ahn B S,Park Y M.A fault diagnosis expert system for distribution substations[J].IEEE Transactions on Power Delivery,2000,15(1):92-97. [2] Cardoso G,Rolim J G,Zum H H.Application of neural-network modules to electric power system fault section estimation[J].IEEE Transactions on Power Delivery,2004,19(1):1034-1038. [3] 李练兵,张秀云,王志华,等.故障树和BAM神经网络在光伏并网故障诊断中的应用[J].电工技术学报,2015,30(2):248-254. Li Lianbing,Zhang Xiuyun,Wang Zhihua,et al.Fault diagnosis in solar photovoltaic grid-connected power system based on fault tree and BAM neural network[J].Transactions of China Electrotechnical Society,2015,30(2):248-254. [4] 熊国江,石东源.电网故障诊断改进解析模型及其自适应生物地理学优化方法[J].电工技术学报,2014,29(4):205-211. Xiong Guojiang,Shi Dongyuan.An improved analytic model for fault diagnosis of power grids and its self-adaptive biogeography-based optimization method[J].Transactions of China Electrotechnical Society,2014,29(4):205-211. [5] Zhu Yongli,Huo Limin,Lu Jinling.Bayesian networks-based approach for power systems fault diagnosis[J].IEEE Transactions on Power Delivery,2006,21(2):634-639. [6] 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. [7] Dimitri Lefebvre.On-line fault diagnosis with partially observed Petri nets[J].IEEE Transactions on Automatic Control,2014,59(7):1919-1924. [8] 程学珍,王程,于永进,等.一种基于模糊故障Petri网的三相异步电动机故障分析方法[J].电工技术学报,2015,30(17):132-139. Cheng Xuezhen,Wang Cheng,Yu Yongjin,et al.An approach for three-phase asynchronous motor failure analysis based on fuzzy fault Petri net[J].Transactions of China Electrotechnical Society,2015,30(17):132-139. [9] 孙静,秦世引,宋永华.模糊Petri网在电力系统故障诊断中的应用[J].中国电机工程学报,2004,24(9):74-79. Sun Jing,Qin Shiyin,Song Yonghua.Fuzzy Petri nets and its application in the fault diagnosis of electric power systems[J].Proceedings of the CSEE,2004,24(9):74-79. [10]Luo Xu,Kezunovic M.Implementing fuzzy reasoning Petri-nets for fault section estimation[J].IEEE Transactions on Power Delivery,2008,23(2):676-685. [11]谢红涛,童晓阳.基于分层模糊Petri网的电网故障综合诊断方法[J].电网技术,2012,36(1):246-252. Xie Hongtao,Tong Xiaoyang.A method of synthetical fault diagnosis for power system based on fuzzy hierarchical Petri net[J].Power System Technology,2012,36(1):246-252. [12]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. [13]童晓阳,谢红涛,孙明蔚.计及时序信息检查的分层模糊Petri网电网故障诊断模型[J].电力系统自动化,2013,37(6):63-68. Tong Xiaoyang,Xie Hongtao,Sun Mingwei.Power system fault diagnosis model based on layered fuzzy Petri net considering temporal constraint checking[J].Automation of Electric Power Systems,2013,37(6):63-68. [14]吴文可,文福拴,薛禹胜,等.基于多源信息的延时约束加权模糊Petri网故障诊断模型[J].电力系统自动化,2013,37(24):43-53. Wu Wenke,Wen Fushuan,Xue Yusheng,et al.A weighted fuzzy Petri net based model with time-delay constraints for power system fault diagnosis employing information from multiple sources[J].Automation of Electric Power Systems,2013,37(24):43-53. [15]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 on-line alarm processing based on temporal constraint network[J].Automation of Electric Power Systems,2009,33(21):36-42. [16]边莉,边晨源.电网故障诊断的智能方法综述[J].电力系统保护与控制,2014,42(3):146-153. Bian Li,Bian Chenyuan.Review on intelligence fault diagnosis in power networks[J].Power System Protection and Control,2014,42(3):146-153. [17]张勇,张岩,文福拴,等.基于时序因果网络的电力系统故障诊断[J].电力系统自动化,2013,37(9):47-52. Zhang Yong,Zhang Yan,Wen Fushuan,et al.A temporal cause-effect net based approach for power system fault diagnosis[J].Automation of Electric Power Systems,2013,37(9):47-52. [18]白展,苗世洪,孙雁斌,等.计及报警信息逻辑关联的改进模糊Petri网故障诊断模型[J].电气应用,2015,34(16):100-104. Bai Zhan,Miao Shihong,Sun Yanbin,et al.Power system fault diagnosis model based on improved fuzzy Petri net considering alarm information logical relevance[J].Electrotechnical Application,2015,34(16):100-104.
2016, Vol. 31 
