Abstract
This paper presents the implementation of accelerated particle swarm optimization (APSO) algorithm for a non-cascaded hydro-thermal scheduling and economic dispatch problem with hydel power transmission losses. APSO is a single step position updating variant of PSO and due to its single step updating of particles, it is very fast in converging towards global optimization solution of non-linear economic dispatch problems, as compared to the other variants of PSO. Convergence rates of this implementation are compared with approaches presented in literature for the same problem. Our solution outperforms other solutions despite additional constraint of transmission losses.