Proposta de um algoritmo para detecção de faltas em Parques Eólicos utilizando distância Euclidiana

  • Elis C. S. Trindade Universidade Estadual Paulista “Júlio de Mesquita Filho”
  • Fábio B. Leão Universidade Estadual Paulista “Júlio de Mesquita Filho”
Keywords: Wind farm, Fault detection, Fault location, Euclidean Distance, Protection of transmission lines

Abstract

The integration of wind farms to the National Interconnected System brings with it great challenges and innovations, since the electrical power systems that contain this type of generation, present different responses from conventional generation (synchronous generators) in the face of disturbances that may occur. This article presents a study on the state of the art regarding the main methodologies used in the detection, classification, and location of faults in electric energy distribution networks and the development of a detection algorithm applied in feeders of Parks wind. The methodology used in the detection algorithm is based on the calculation of the Euclidean distance of samples of the system voltage signal to detect faults. Numerous short-circuit tests were carried out considering two wind farms, under different operating conditions. The observed results show the efficiency and robustness of the proposed method in correctly detecting faults applied even for high fault resistances.
Published
2022-10-19
Section
Articles