Bayesian Networks-Based Approach for Power Systems Fault Diagnosis
- 27 March 2006
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Delivery
- Vol. 21 (2), 634-639
- https://doi.org/10.1109/tpwrd.2005.858774
Abstract
In this paper, three element-oriented models based on simplified Bayesian networks with Noisy-Or and Noisy-And nodes are proposed to estimate the faulty section of a transmission power system. The three models are used to test if any transmission line, transformer, or busbar within a blackout area is faulty. They can deal with uncertain or incomplete data and knowledge relating to power system diagnosis, so they are flexible. The structures and initial parameters of the Bayesian networks depend on the prior knowledge of the domain experts. The parameters can be revised by using an error back propagation algorithm similar to the back-propagation algorithm for artificial neural networks. The fault diagnosis models do not vary with the change of the network structure, so they can be applied to any transmission power system. Furthermore, they have clear semantics, rapid reasoning, powerful error tolerance ability, and no convergence problem during the diagnosing procedure. Experimental tests show that the approach is feasible and efficient, so the prototype program based on the approach is promising to be used in a large transmission power system for online fault diagnosis.Keywords
This publication has 6 references indexed in Scilit:
- On-line fault section estimation in power systems with radial basis function neural networkInternational Journal of Electrical Power & Energy Systems, 2002
- An expert system for fault section diagnosis of power systems using fuzzy relationsIEEE Transactions on Power Systems, 1997
- Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithmIEE Proceedings - Generation, Transmission and Distribution, 1997
- A logic based expert system (LBES) for fault diagnosis of power systemIEEE Transactions on Power Systems, 1997
- Real-world applications of Bayesian networksCommunications of the ACM, 1995
- An expert system for power systems fault analysisIEEE Transactions on Power Systems, 1994