Solving OPF problem with the Hybrid GA and the Hybrid PSO Algorithms and Comparing with the Gradient-based Methods

Abstract- In this paper we evaluate using the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) method for solving Optimal Power Flow (OPF) in large scale power systems. We have proposed the Hybrid GA (HGA) and the hybrid PSO (HPSO) methods to increase the convergence speed and to reduce the risk of divergence in critical system conditions (i.e. transmission line flow limits). The proposed method was tested with the IEEE 118-bus and 300-bus test systems and compared with one gradient-based algorithm (Newton's method).

Keywords:

Optimal Power Flow (OPF) , Genetic Algorithm (GA) , Particle Swarm Optimization (PSO) , Newton's Method , Hybrid GA , Hybrid PSO