1.College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao 266590 China; 2.State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao 266590 China
Abstract：Considering that the actuating signals would affect the fault diagnosis accuracy of power grids,a fault diagnosis approach based on maximum likelihood decoding Petri net models is proposed.At first,the diagnostic models of Petri nets corresponding to the fault components are built according to the actuating logic relationship of protection and the circuit breaker.With the help of the computer-aided tool CPN Tools,the models are verified and rationalized.After that,the corresponding matrix is derived and a method to determine the number of supervision code is given and verified.Finally,a relationship between maximum likelihood credibility and correlation discrepancy is applied to determine the optimal error pattern so as to correct the distortion of the signals,and then the corresponding fault diagnosis can be made according to the mapping relationship of the fault.The example analysis and the comparison of diagnostic results of different models show that the suggested method can improve fault tolerance and accuracy of the fault diagnosis.
程学珍, 陈 强, 于永进, 王 程, 刘建航,. 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,Wang Cheng,Liu Jianhang. A Fault Diagnosis Approach of Power Networks Based on Maximum Likelihood Decoding Petri Net Models. Transactions of China Electrotechnical Society, 2015, 30(15): 46-52.
[1] 文福拴,韩祯祥.基于模拟进化理论的电力系统的故障诊断[J].电工技术学报,1994,9(2):57-63. Wen Fushuan,Han Zhenxiang.Fault section estimation in power systems using simulated evolution[J].Transactions of China Electrotechnical Society,1994,9(2):57-63. [2] 文福拴,邱家驹,韩祯祥.只利用断路器信息诊断电力系统故障的高级遗传算法[J].电工技术学报,1996,11(2):58-64. Wen Fushuan,Qiu Jiaju,Han Zhenxiang.A refined genetic algorithm for fault section estimation using information from circuit breakers[J].Transactions of China Electrotechnical Society,1996,11(2):58-64. [3] 张志毅,袁荣湘,杨同忠,等.基于粗糙集和小生境遗传算法的电网故障诊断规则提取[J].电工技术学报,2009,24(1):158-163. Zhang Zhiyi,Yuan Rongxiang,Yang Tongzhong,et al.Rule extraction for power system fault diagnosis based on the combination of rough sets and niche genetic algorithm[J].Transactions of China Electrotechnical Society,2009,24(1):158-163. [4] 翁蓝天,刘开培,刘晓莉,等.复杂配电网故障定位的链表法[J].电工技术学报,2009,24(5):190-196. Weng Lantian,Liu Kaipei,Liu Xiaoli,et al.Chain table algorithm for fault location of complicated distribution network[J].Transactions of China Electrotechnical Society,2009,24(5):190-196. [5] 梅念,石东源,李银红,等.计及信息畸变影响的电网故障诊断分级优化方法[J].电工技术学报,2009,24(9):178-190. Mei Nian,Shi Dongyuan,Li Yinhong,et al.Power system fault diagnosis based on gradual optimization in consideration of alarm information aberrance[J].Transactions of China Electrotechnical Society,2009,24(9):178-190. [6] 郭创新,游家训,彭明伟,等.基于面向元件神经网络与模糊积分融合技术的电网故障智能诊断[J].电工技术学报,2010,25(9):183-190. Guo Chuangxin,You Jiaxun,Peng Mingwei,et al.A fault intelligent diagnosis approach based on element-oriented artificial neural networks and fuzzy integral fusion[J].Transactions of China Electrotechnical Society,2010,25(9):183-190. [7] 陈国炎,张哲,尹项根,等.基于证据理论融合的广域后备保护新方法[J].电工技术学报,2014,29(10):246-256. Chen Guoyan,Zhang Zhe,Yin Xianggen,et al.A new algorithm of wide area backup protection based on evidence theory fusion[J].Transactions of China Electrotechnical Society,2014,29(10):246-256. [8] Wu Wenke,Wen Fushuan,Xue Yusheng,et al.Power system fault diagnosis with a weighted fuzzy time Petri net[C].International Conference on Sustainable Power Generation and Supply (SUPERGEN),Hangzhou,2012:1-7. [9] Wang Y N,Ye J F,Xu G J,et al. Novel hierarchical fault diagnosis approach for smart power grid with information fusion of multi-data resources based on fuzzy Petri net[C].IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),Beijing,2014:1183-1189. [10]Francisco G,Santos F,Medeiros E B,et al.Fault diagnosis system for power systems based on colored Petri nets[C].The 12th Latin-American Congress on Automatic Control,Brazil,2006:3-6. [11]王磊,陈青,高湛军.输电网故障诊断的知识表示方法及其应用[J].中国电机工程学报,2012,32(4):85-92. Wang Lei,Chen Qing,Gao Zhanjun.Representation and application of fault diagnosis knowledge in power transmission grids[J].Proceedings of the CSEE,2012,32(4):85-92. [12]Lo K L,Ng H S,Trecat J.Power system fault diagnosis using Petri nets[J].IEEE Proceeding-Generations,Transmission and Distribution,1997,144(3):231-236. [13]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. [14]Mansour M M,Mohamed A A W,Wael M S.Petri nets for fault diagnosis of large power generation station[J].Ain Shams Engineering Journal,2013,4(4):831-842. [15]任惠,赵洪山,米增强,等.基于编码PETRI网的电网故障诊断[J].电网技术,2004,28(5):64-68. Ren Hui,Zhao Hongshan,Mi Zengqiang,et al.Power system fault diagnosis by use of encoded Petri net models[J].Power System Technology,2004,28(5):64-68. [16]梅念,石东源,谢俊,等.基于编码理论的电网故障诊断及监测信号校正[J].电力系统自动化,2007,31(12):68-72. Mei Nian,Shi Dongyuan,Xie Jun,et al.Power network fault diagnosis and monitoring signal correction based on the coding theory[J].Automation of Electric Power Systems,2007,31(12):68-72. [17]王玉英.基于赋时有色Petri网的Web服务组合建模验证与测试技术研究[D].西安:西安电子科技大学,2012. [18]田丽华.编码理论[M].西安:西安电子科技大学出版社,2003. [19]乔国垒.线性分组码的最大似然译码研究[D].南京:南京理工大学,2009. [20]万哲先.代数和编码[M].北京:高等教育出版社,2007. [21]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. [22]王磊,陈青,李天友,等.停电区域边界断路器信息缺失时的电网故障诊断[J].中国电机工程学报,2013,33(22):127-134. Wang Lei,Chen Qing,Li Tianyou,et al.Power system fault diagnosis considering absence of alarm messages of circuit breakers on the border of outage area[J].Proceedings of the CSEE,2013,33(22):127-134.
2015, Vol. 30 
