Solving Non-Convex Economic Load Dispatch Problem by Efficient Hybrid Simulated Annealing Algorithm

This paper is presented with a hybrid technique named as Efficient Hybrid Simulated Annealing (EHSA) algorithm. The new algorithm is implemented to the non-convex economic load dispatch (ELD) problem so as to minimize the total generation cost when considering the linear and non linear constraints. In EHSA algorithm, the velocity of the particle in Particle Swarm Optimization (PSO) is improved by the mutation operator of Differential Evolution (DE) thus a global solution is obtained. This solution is set as an initial solution to Simulated Annealing (SA) to reach an optimal solution. The proposed methodology is implemented for economic dispatch problem by considering the constraints such as generator constraints, transmission loss, ramp rate limits and prohibited operating zones. This method is experimented on a 3 units test system to get an optimized result. By using this optimization algorithm we obtain a minimum operating cost with minimum transmission loss and better convergence speed.