A New Power System Fault Diagnosis Model under UNIX Platform

Lei Wang; Qing Chen; Zhan Jun Gao; Bin Chen; Min Wei Chen; Kong Ming Sun; De Jun Wu; Shi Tao Wang; Ying Pei; Jun Wei Zhao

doi:10.4028/www.scientific.net/AMM.556-562.2157

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562A New Power System Fault Diagnosis Model under...

A New Power System Fault Diagnosis Model under UNIX Platform

Abstract:

A new power system fault diagnosis model is proposed in this paper and it will be used in the UNIX platform. It includes the Petri net system's structure, software service and hardware integration method. Though technology of Petri net is quite successful, its application to power system fault diagnosis is deficient. According to the UNIX platform, a new power system fault diagnosis model is designed and it takes an example to explain how to use its high performance computing method (or parallel computing method) and UNIX environment to design a new intelligent algorithm with information fusion and multi-data resources in power system fault diagnosis.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2157-2160

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2157

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Cite this paper

Online since:

May 2014

Authors:

Lei Wang*, Qing Chen, Zhan Jun Gao, Bin Chen, Min Wei Chen, Kong Ming Sun, De Jun Wu, Shi Tao Wang, Ying Pei, Jun Wei Zhao

Keywords:

CORBA, Fault Diagnosis, Petri Net, Power System, Unix

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* - Corresponding Author

References

[1] W.X. Guo, F. S Wen and G. LedwichAn: Analytic Model for Fault Diagnosis in Power Systems Considering Malfunctions of Protective Relays and Circuit Breakers. IEEE TRANSACTIONS ON POWER DELIVERY, Vol. 25, No. 3, JULY (2010).

DOI: 10.1109/tpwrd.2010.2048344

Google Scholar

[2] L. Wang, Q. Chen: Power Grid Fault Diagnosis Model Based on Fault Knowledge Representation, Electric Utility Deregulation and Restructuring and Power Technologies(DRPT), 2011 4th International Conference.

DOI: 10.1109/drpt.2011.5993951

Google Scholar

[3] F.H. Wen, Z.X. Han: Fault section estimation in power system using genetic algorithm and simulated annealing. Proceedings of the CSEE, 1994, 14(3): 29-36.

Google Scholar

[4] K.L. Lo, H.S. Ng, D.M. Grant and J. Trecat: Extended Petri net models for fault diagnosis for substation automation. IEE Proc. Gener. Transm. Distrib., May 1999，146(3): 229-234.

DOI: 10.1049/ip-gtd:19990071

Google Scholar

[5] E.O. Schweitzer, B. Fleming and P. M: Anderson, reliability analysis of transmission protection using fault tree methods. The 4th annual Western Protective Relay Conf., Spokane, WA, October 18-20, (1994).

Google Scholar