On the Diagnostic Methods of Bayesian-Network in Smart Grid

Han Mei Hu; Jun Lei Zhao; Ping Wen Tu

doi:10.4028/www.scientific.net/AMM.71-78.2424

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 71-78On the Diagnostic Methods of Bayesian-Network in...

On the Diagnostic Methods of Bayesian-Network in Smart Grid

Abstract:

Aiming at the smart grid self-healing characteristics, puts forward a Bayesian network fault diagnosis method. According to the protection movement signal and the circuit breaker tripping signal, establish the face of components of the smart grid line fault diagnosis model. The fault diagnosis method is real-time and accuracy, and fault-tolerant ability etc. characteristics. This method not only satisfy intelligent power grid self-healing characteristics on fault diagnosis real-time, accuracy and automatic fault diagnosis of the requirements, but also provide the smart grid fault isolation and system of self recover with strong guarantee.

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Periodical:

Applied Mechanics and Materials (Volumes 71-78)

Pages:

2424-2428

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.71-78.2424

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Online since:

July 2011

Authors:

Han Mei Hu, Jun Lei Zhao, Ping Wen Tu

Keywords:

Bayesian Network (BN), Fault Diagnosis, Self-Healing, Smart Grid (SG)

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