Bayesian Networks for Fault Diagnosis of a Large Power Station and its Transmission Lines
- 27 April 2012
- journal article
- research article
- Published by Taylor & Francis Ltd in Electric Power Components and Systems
- Vol. 40 (8), 845-863
- https://doi.org/10.1080/15325008.2012.666615
Abstract
This article proposes a simplified fault-diagnosis system based on Bayesian networks with noisy-OR/AND nodes to estimate the faulty item/section(s) of a large power station and its transmission lines. The proposed method utilizes the final information of protective relays and corresponding circuit breakers to construct the Bayesian fault diagnosis model for each section. The learning algorithm for Bayesian network parameters takes the sum of the mean-squared error between the expected values and the computed values of certain target variables as the minimizing optimization function to adjust the network parameters continuously. By comparing the result beliefs of possible faulty sections, the faulty item/section(s) becomes a candidate. In order to test the validity and feasibility of that method, a computer simulation of the High Dam power station and its 500-kV transmission lines is used. It is shown that the proposed diagnosis method has many merits, such as rapid reasoning, less storage memory and processing time, easy correctness of diagnosing results, flexibility, and application into a large power station and its transmission lines for real-time fault diagnosis. Finally, it assists and supports the operator of the control room to make the right decision, especially in case of communication loss.Keywords
This publication has 11 references indexed in Scilit:
- Application of Bayesian Network in Power Grid Fault DiagnosisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- A New Uncertain Fault Diagnosis Approach of Power System Based on Markov Chain Monte Carlo MethodPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Bayesian Networks-Based Approach for Power Systems Fault DiagnosisIEEE Transactions on Power Delivery, 2006
- A multi-agent system-based intelligent identification system for power plant control and fault-diagnosisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Computational Intelligence in Fault DiagnosisPublished by Springer Science and Business Media LLC ,2006
- Neural Networks Approach to Online Identification of Multiple Failures of Protection SystemsIEEE Transactions on Power Delivery, 2005
- Using Bayesian network for fault location on distribution feederIEEE Transactions on Power Delivery, 2002
- A fault diagnosis expert system for distribution substationsIEEE Transactions on Power Delivery, 2000
- 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