Authors : M.M. Salama, M.I. Elgazar, S.M. Abdelmaksoud and H.A. Henry
Abstract: In this study, a Genetic Algorithm (GA) and particle swarm optimization with constriction factor (CFPSO) are proposed for solving the short term variable head hydrothermal scheduling problem with transmission line losses. The performance efficiency of the proposed techniques is demonstrated on hydrothermal test system comprising of two thermal units and two hydro power plants. The simulation results obtained from the constriction factor based particle swarm optimization technique are compared with the outcomes obtained from the genetic algorithm to reveal the validity and verify the feasibility of the proposed methods. The test results show that the particle swarm optimization give the same solution as obtained by genetic algorithm but the computation time of the constriction factor particle swarm optimization technique is less than genetic algorithm.
M.M. Salama, M.I. Elgazar, S.M. Abdelmaksoud and H.A. Henry, 2013. Optimal Generation Scheduling of Short Term Variable Head Hydrothermal System Using Constriction Factor Based Particle Swarm Optimization Technique and Genetic Algorithm. International Journal of Electrical and Power Engineering, 7: 1-12.