Application of wolf group hierarchy optimization algorithm to fault section estimation in power systems

This paper proposes a wolf group hierarchy optimization (WGHO) algorithm to solve the fault section estimation problem in power systems. The method mimics the substitution behavior observed in the wolf society, in which only the wolf owing the strongest environment adaptability is qualified to lead the group of wolves. By applying this bionic intelligence in the problem considered, it provides a systematic way of finding the solution. Through the field test data, this method has been compared with published techniques.