Classificação de faltas em alimentadores de redes coletoras de parques eólicos onshore utilizando Lógica Fuzzy e Meta-Heurísticas

Abstract

With the increasing competitiveness of wind power generation in the commercialization of electrical energy in the country, it is essential for the efficient integration of wind energy into the energy matrix to ensure its safety and reliability. Therefore, in the scope of the protection of power systems (SEP), in the event of a fault, they must be isolated as quickly as possible to mitigate the negative effects generated in the wind power generation system. Thus, this work presents a proposal for the classification of faults in feeders of an onshore Wind Farm, aiming to assist maintenance teams in eliminating a permanent short circuit in the SEP. The proposed method is based on a fuzzy inference system and meta-heuristics. The results demonstrate a favorable convergence of the method, as well as evaluate and compare different inference fuzzy methodologies (Mamdani and Takagi-Sugeno) and two distinct meta-heuristics.