A search group algorithm for optimal power flow in power systems

Abstract

Economic operation of the electric energy generating system is one of the common problems in power system. This paper presents a new metaheuristic optimization method, the Search Group Algorithm (SGA) for solving optimal power flow (OPF) problem. The proposed method is tested for 11 different cases on the IEEE 30-bus and IEEE-118 bus systems, in which the IEEE 30-bus system is tested with different objective functions including quadratic function, valve point effects and multiple fuels. The obtained results are compared with some well-known optimization algorithms to emphasize the effectiveness of the SGA method for solving different OPF problems with complicated functions.