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Fault diagnosis in electrical power systems using artificial neural networks

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4 Author(s)

Summary form only given. In this work, an ANN-based methodology is proposed for fault location in electrical power systems. A local strategy is adopted, where different ANN classifiers are constructed, each of them being responsible for detecting faulted power system components in a restricted area. The ANNs are able to produce a diagnosis, even in difficult situations, such as the presence of noisy data or protection system failures. Tests are performed using a test system and a real Brazilian power system to illustrate the performance of the proposed algorithm.

Published in:

Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on

Date of Conference:

Aug. 29 1999-Sept. 2 1999