Finding the optimal path to restoration loads of power distribution network by hybrid GA-bcoalgorithms 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 be efficiently restored in reasonable time. To improve the efficiency of restoration and facilitate the activity of operators an efficient GA-BCO algorithm is developed. To investigate the efficiency of proposed algorithm, the algorithm is applied to a real case of distribution system from Taiwan Power Company (TPC) and compared with those of existing approaches in the literature. Experimental results show the capability of proposed algorithm in finding the optimal distribution system restoration in reasonable time.