Four modified versions of particle swarm optimizer (PSO) have been applied to the economic
power dispatch with valve-point effects. In order to obtain the optimal solution traditional
PSO search a new position around the current position. The proposed strategies which explore
the vicinity of particle s best position found so as far leads to a better result. In addition
to deal with the equality constraint of the economic dispatch problems a simple mechanism is
also devised that the difference of the demanded load and total generating power is evenly
shared among units except the one reaching its generating limit. To show their capability the
proposed algorithms are applied to thirteen.Comparision among particle swarm optimization is
given. The results show that the proposed algorithms indeed produce more optimal solutions in
both cases. The different PSO techniques are New PSO Self-Adaptive PSO and Chaotic PSO Among
the different PSO techniques it is found that Self-Adaptive PSO is better than other PSO
techniques in terms of better solutions speed of convergence time of execution and robustness
but it has more premature convergence.
