The Analysis Method of Power Grid Fault Based on Hierarchical Transition Weighted Fuzzy Petri Net
Chen Qiang1,2, Cheng Xuezhen1,2, Liu Jianhang1,2, Wang Cheng1,2, Bai Xingzhen1,2
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：In order to improve the flexibility of models and solve the deficiencies in the process of reasoning algorithm that would influence the diagnosis accuracy,a power grid fault diagnosis approach based on the improved weighted fuzzy Petri net (WFPN) is researched.At first,the suspicious components are determined according to the fault information;and the two layer universal model of every component is built.After that,the classification of the layered transition set is proposed and the reasoning algorithm is improved to make the calculation process be in accord with the trigger timing sequence of transition.Meanwhile,the execution times of the iterative algorithm are determined by the number of layered transition.Finally,the specific reasoning process of fault diagnosis is given;and the algorithm performance and model adaptability is analyzed.The example analysis and the comparison of diagnostic results of different models show the reasonability and validity of the above mentioned method,which can quickly realize fault diagnosis.
陈强, 程学珍, 刘建航, 王程, 白星振. 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, Wang Cheng, Bai Xingzhen. The Analysis Method of Power Grid Fault Based on Hierarchical Transition Weighted Fuzzy Petri Net. Transactions of China Electrotechnical Society, 2016, 31(15): 125-135.
[1] 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):147-153. Bian Li,Bian Chenyuan.Review on intelligence fault diagnosis in power networks[J].Power System Protection and Control,2014,42(3):147-153. [2] 袁鹏,杨红旗,马韬韬,等.基于设备故障假设和分层流模型的电网智能报警方法研究[J].电力系统保护与控制,2014,42(4):93-97. Yuan Peng,Yang Hongqi,Ma Taotao,et al.An intelligent alarm method based on equipment fault hypothesis and MFM[J].Power System Protection and Control,2014,42(4):93-97. [3] 张林.基于模糊Petri网的电力系统故障诊断[D].南昌:南昌大学,2007. [4] 谢敏,吴亚雄,黄庶,等.基于有色自控Petri网的电网故障区域识别[J].电力系统保护与控制,2016,44(4):57-64. Xie Min,Wu Yaxiong,Huang Shu,et al.Identification of fault area in power system based on colored self-modifying Petri nets[J].Power System Protection and Control,2016,44(4):57-64. [5] 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.Afault diagnosis approach of power networks based on maximum likelihood decoding petri net models[J].Transactions of China Electrotechnical Society,2015,30(15):46-52. [6] 孙静,秦世引,宋永华.模糊Petri网在电力系统故障中的应用[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. [7] Sun Jing ,Qin Shiyin ,Song Yonghua .Fault diagnosis of electric power systems based on fuzzy Petri nets[J].IEEE Transactions on Power Systems,2004,19(4):2053-2059. [8] Luo Xu,Kezunovic M.Implementing fuzzy reasoning Petri-nets for fault section estimation[J].IEEE Transactions on Power Delivery,2008,23(2):676-685. [9] 栗然,仇晓龙.基于模糊Petri网的输电网故障诊断改进方法[J].中国电力,2008,41(5):50-54. Li Ran,Qiu Xiaolong.Improvement in fault diagnosis of transmission networks using fuzzy Petri net[J].China Electric Power,2008,41(5):50-54. [10]Lan Jingchuan,Ma Min.Fault diagnosis method of power system based on the adaptive fuzzy Petri net[C]// IEEE Circuits and Systems International Conference on Testing and Diagnosis,Chengdu,2009:1-4. [11]曾庆锋.基于自适应模糊Petri网和有色Petri网的电网故障诊断方法研究[D].成都:西南交通大学,2010. [12]杨健维,何正友,臧天磊.基于方向性加权模糊Petri网的电网故障诊断方法[J].中国电机工程学报,2010,30(34):42-49. Yang Jianwei,He Zhengyou,Zang Tianlei.Power system fault-diagnosis method based on directional weighted fuzzy Petri nets[J].Proceedings of the CSEE,2010,30(34):42-49. [13]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):247-252. 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):247-252. [14]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. [15]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,Hangzhou,2012:1-7. [16]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. [17]张岩,张勇,文福拴,等.容纳时序约束的改进模糊Petri网故障诊断模型[J].电力系统自动化,2014,38(5):66-72. Zhang Yan,Zhang Yong,Wen Fushuan,et al.Power system fault diagnosis with an enhanced fuzzy Petri net accommodating temporal constraints[J].Automation of Electric Power Systems,2014,38(5):66-72. [18]董海鹰,李晓楠.具有冗余保护的变电站模糊Petri网故障诊断[J].电力系统自动化,2014,38(4):98-103. Dong Haiying,Li Xiaonan.Fault diagnosis for substations with redundant protection based on fuzzy Petri net[J].Automation of Electric Power Systems,2014,38(4):98-103. [19]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,Beijing,2014:1183-1189. [20]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. [21]刘道兵,顾雪平,梁海平,等.电网故障诊断完全解析模型的解集评价与最优解求取[J].中国电机工程学报,2014,34(31):5668-5676. Liu Daobing,Gu Xueping,Liang Haiping,et al.Solution evaluation and optimal solution discrimination of a complete analytical model for power system fault diagnosis[J].Proceedings of the CSEE,2014,34(31):5668-5676. [22]陈靖秋.基于信息融合的电力系统不确定性故障诊断的研究[D].成都:西南交通大学,2014. [23]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):179-185. 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):179-185. [24]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):206-211. 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):206-211. [25]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. [26]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):47-50. 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):47-50. [27]Mansour M M,Wahab M A A,Soliman W M.Petri nets for fault diagnosis of large power generation station[J].Ain Shams Engineering Journal,2013,4(4):831-842. [28]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):184-190. 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):184-190.
2016, Vol. 31 
