On the Diagnostic Methods of Bayesian-Network in Smart Grid
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.
Dongye Sun, Wen-Pei Sung and Ran Chen
H. M. Hu et al., "On the Diagnostic Methods of Bayesian-Network in Smart Grid", Applied Mechanics and Materials, Vols. 71-78, pp. 2424-2428, 2011