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Diagnosis Petri Net Model for Power System

Diagnosis Petri Net Model for Power System
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摘要 This paper puts forward a new fault diagnosis model based on Petri net.In this new fault diagnosis method,an associated tree is f irst defi ned to describe the logic according to the protections and circuit breakers.After that a Petri net diagnosis model comes into being and the precise diagnosis of power grid elements can be realized at the same time.The simulation results given in this paper illustrate that this fault diagnosis method can make a rapid diagnosis in complex fault situation and give accurate results to power grid fault diagnosis. This paper puts forward a new fault diagnosis model based on Petri net. In this new fault diagnosis method, an associated tree is first defined to describe the logic according to the protections and circuit breakers. After that a Petri net diagnosis model comes into being and the precise diagnosis of power grid elements can be realized at the same time. The simulation results given in this paper il- lustrate that this fault diagnosis method can make a rapid diagnosis in complex fault situation and give accurate results to power grid fault diagnosis.
出处 《Electricity》 2014年第4期39-41,54,共4页 电气(英文版)
关键词 fault diagnosis Petri net power system associated tree Petri网模型 故障诊断模型 电力系统 故障诊断方法 复杂故障 快速诊断 仿真结果 断路器
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参考文献9

  • 1Xu L, Kezunovic M. Implementing fuzzy reasoning Petri-Nets for fault section estimation[J]. IEEE Trans. Power Del., 2008, 23(2): 676-685.
  • 2Lo K L, Ng H S, D. Grant M, Trecat J. Extended Petri net models for fault diagnosis for substation automation[J]. IEEE Proc. Gener. Transm. Distrib., 1999, 146(3): 229-234.
  • 3Mahanty R N, Gupta P B D., Application of RBF neural network to fault classification and location in transmission lines[J]. IEEE Proc. Gener., Transmiss., Distrib., 2004, 151(2): 201-212.
  • 4Thukaram D, Khincha H P, Vijaynarasimha H P. Artificial neural network and support vector machine approach for locating faults in radial distribution systems, IEEE Trans. Power Del., 2005, 20(2): 710-721.
  • 5Wen F S, Chang C S. A new approach to time constrained fault diagnosis using the Tabu search method[J]. J. Eng. Intell. Syst., 2002,10(1): 19-25.
  • 6He Z Y, Chiang H D, Li C W, Zeng Q F. Faultsection estimation in power systems based on improved optimization model and binary particle swarm optimization[C]IIProc. IEEE Power & Energy Society General Meeting, Calgary, AB, Canada, JuI. 2009.
  • 7Lee H J, Ahn B S, Park Y M. A fault diagnosis expert system for distribution substations[J]. IEEE Trans. Power Del., 2000, 15(1): 92-97.
  • 8Tan J C, et al. Fuzzy expert system for on-line fault diagnosis on a transmission network[C]//Proc. IEEE Power Engineering Soc. Winter Meeting, 2001: 775-780.
  • 9Zhu Y L, Huo L M, Lu J L. Bayesian network-based approach for power systems fault diagnosis[J]. IEEE Trans. Power Del., 2006, 21(2): 634-639.

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