On-line Fault Diagnosis in the Large Power System
| Authors: | Seo Gyu-Seok, Kyungpook National University, Korea, Republic of
Baek Young-Sik, Kyungpook National University, Korea, Republic of
Kim Jung-Nyun, LG Cable Ltd, Korea, Republic of
Han Moo-Ho, Research Institute of Industrial Science & Technology, Korea, Republic of |
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| Topic: | 6.3 Power Plants and Power Systems |
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| Session: | Power Plants and Power Systems Modelling and Control |
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| Keywords: | power system, expert system, modulation, diagnosis, inference engine, knowledge-based systems |
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Abstract
When the complex power system has a problem, it is very difficult even for the experts to find out where the problem is and to make a timely decision by operators. There have been many studies on these problems but the results are not good enough for applying to real power system. We developed new methods that can be applied to complex power system by dividing the system into small modules. By using 'module', we can combine small modules together to make complex power systems and the knowledge base that is applied to fault diagnosis system. As a result, compared to previously developed diagnosis products, operational time has shortened, and the knowledge base becomes simpler and clearer, which made online usage capable. This system can be used as a complementary measure that helps the operator from making any mistakes.
