Constrained optimal power flow using Craziness Based Particle Swarm Optimization considering valve point loading and prohibited operating zone

This paper presents Craziness Based Particle Swarm Optimization (CRPSO) technique for solving constrained optimal power flow problems in power systems, considering nonlinearities like valve point loading and prohibited operating zones of generators. In this paper, the proposed algorithm has been tested in 26-bus system under various simulated conditions and its solutions are compared to those of simple genetic algorithm (SGA) and real coded mixed integer genetic algorithm (MIGA). The simulation results show that the proposed algorithm is a very promising evolutionary optimization technique for the global optimization of constrained optimal power flow problem.