Dynamic economic dispatch using hybrid metaheuristics
Dipankar Santra, Anirban Mukherjee, Krishna Sarker, Subrata Mondal
Abstract
Abstract Dynamic economic dispatch problem or DED is an extension of static economic dispatch problem or SED which is used to determine the generation schedule of the committed units so as to meet the predicted load demand over a time horizon at minimum operating cost under ramp rate constraints and other constraints. This work presents an efficient hybrid method based on particle swarm optimization (PSO) and termite colony optimization (TCO) for solving DED problem. The hybrid method employs PSO for global search and TCO for local search in an interleaved mode towards finding the optimal solution. After the first round iteration of local search by TCO, the best local solutions are considered by PSO to update the schedules globally. In the next round, TCO performs local search around each solution found by PSO. This paper reports the methodology and result of application of PSO–TCO hybrid to 5-unit, 10-unit and 30-unit power dispatch problems; the result shows that the PSO–TCO (HPSTCO) gives improved solution compared to PSO or TCO (when applied separately) and also other hybrid methods.