关键词: 差分进化算法，动态电力系统，调度优化，启发式策略，多目标

Abstract: Dynamic environment economic dispatch is of non-linear optimization problems. It represents the characteris- tics of multi-objective,high dimensions and constraints. So the traditional methods are no longer fit to solving these op- timization problems. A price penalty factor approach was utilized here to convert the bi-objective problems into single objective ones. In order to handle constraints effectively,heuristic rules were proposed to handle ramp rate constraints, and heuristic strategics based on priority list arc employed to handle active power balance constraints. The heuristic strategics also can increase the variety of the individual and extend the search scope. I}he thermal unit with the lower average full-load cost will have the higher priority to dispatch more generation power in the heuristic strategies based on priority list, so that the even better scheduling solutions can be obtained. At last, the differential evolution algorithm was improved to enhance the search ability and improve the solution quality.

Key words: Differential evolution algorithm, Dynamic power systems, Scheduling optimization, Heuristic strategy, Multi obj cctivc