Finding the Optimal Path to Restoration Loads of Power Distribution Network by Hybrid GA-BCO Algorithms Under Fault and Fuzzy Objective Functions with Load Variations

In this paper proposes a fuzzy multi-objective hybrid Genetic and Bee colony optimization algorithm(GA-BCO) to find the optimal restoration of loads of power distribution network under fault.Restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. To improve the efficiency of restoration and facilitate theactivity of operators an efficient GA-BCO algorithm is developed. To investigate the efficiency ofproposed algorithm, the algorithm is applied to a real case of distribution system from Taiwan PowerCompany (TPC) and compared with those of existing approaches in the literature. Experimentalresults show the capability of proposed algorithm in finding the optimal distribution systemrestoration in reasonable time.