Método híbrido basado en la estructura de agentes para localización de fallas en sistemas de distribución de energía eléctrica (original) (raw)

Model Based Methods (MBM), used for fault location methods in power distribution systems estimate the fault distance based on the fundamental component of single end voltages and currents. As general disadvantages there are two; first, these methods require of a good system model; and second, these methods do not avoid the multiple fault location estimation problem. In this paper, a theoretical discussion about the development of hybrid systems starting from both, different types of knowledge related to a real problem, and the combination of artificial intelligent techniques or Knowledge Based Methods (KBM) is presented. Starting from the theoretical basis, and performing the analysis of disadvantages and advantages of each analyzed technique, a proposal to consider the fault location problem in power distribution systems, as a useful hybrid alternative to take advantage of both, MBM and KBM is proposed.

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