Abstract:  Aiming at the lowest generation cost in power system, combining with the system balance constraints and unit operation constraints in actual power generation operation, a power economic dispatch (ED) model is established. Because the standard particle swarm optimization algorithm is easy to fall into local optimum, the final result of solving ED model by this method is not satisfactory. A nonlinear adaptive weight adjustment strategy is proposed to enhance the global search and local search ability of the algorithm, firstly, a niche optimization population strategy is introduced to make the algorithm jump out of the local optimum. Then the improved hybrid adaptive particle swarm optimization algorithm is applied to solve ED model. Finally, a numerical example shows that the efficiency of the proposed algorithm and the accuracy of the solution are improved.

Key words: economic dispatch, particle swarm optimization, adaptive weight, niche population optimization strategy