Hybrid Real coded Genetic Algorithm - Differential Evolution for Optimal Power Flow

Electric power providing companies has to deliver reliable electric power in quality and at minimum cost for the competition in deregulated environment. To know the power system security and operating state, power flows in lines and bus voltage magnitude and angle are calculated using power flow analysis, and to tune the power system for minimum operating cost while ensure security and reliability, Optimal Power Flow (OPF) is used. OPF is a non-convex, complex problem, conventional mathematical techniques gets struck in local optimal point based on the initial point. In recent years, heuristic algorithms are used to overcome local optimal solution and to reach global optimal solution. Heuristic algorithm Genetic Algorithm (GA) and Real coded GA (RGA) has better Selection and Crossover operation, Differential Evolution (DE) has better Mutation process, inspires the hybrid of RGA – DE algorithm, presented in this paper. In this work RGA, DE and hybrid RGA – DE algorithms are used to find OPF solutions for a standard test IEEE 30 bus system. Keyword-Real coded Genetic Algorithm, Differential Evolution, Hybrid RGA-DE Algorithm, Optimal Power Flow, Newton Raphson power flow.