Detection and Classification of Faults in Power Transmission Lines Using Functional Analysis and Computational Intelligence

作者：Gomes Andre de Souza^*; Costa Marcelo Azevedo; Akar de Faria Thomaz Giovani; Caminhas Walmir Matos

来源：IEEE Transactions on Power Delivery, 2013, 28(3): 1402-1413.

DOI：10.1109/TPWRD.2013.2251752

• Detection and classification of faults
• power transmission lines

The transmission line is the most vulnerable element of any electrical power system due to its large physical dimension. As a consequence, many fault diagnosis algorithms have been proposed in the literature. In general, most proposals use signal-processing analysis and computational intelligence. In this paper, a new model to functionally represent the phases of a transmission line is proposed. The detection and classification strategy are developed from the analysis of the model%26apos;s parameters and were evaluated using a set of simulated faults and a real database. The results show that the proposed model detects faults very quickly, using a vastly simplified mathematical process, and is able to classify faults accurately.

• 出版日期2013-7