A comparative analysis of differential evolution and genetic algorithm for solving optimal power flow

The objective of the power systems firm is to achieve the maximum profit and customer goodwill by providing reliable and quality power supply. This operation and control problem would solved by Optimal Power Flow (OPF). OPF solutions provide optimal operating state and satisfy the objective of the firm. Modern trend used to solve this non-convex, complex OPF problem is Meta heuristic algorithms. This paper presents and compares a two versatile meta heuristic algorithms: Differential Evolution (DE) and Genetic Algorithm (GA) for solving OPF. Performance of these algorithms is tested on the standard IEEE 30 bus system.