基于差分蜂群算法的电力系统经济负荷分配

Differential bee colony algorithm for non-convex economic load dispatch

针对电力系统经济负荷分配问题,提出一种有效的差分蜂群算法.受差分进化算法的启发,该算法基于差分进化操作改进了雇佣蜂的搜索方式,提高了探索能力和收敛速度.此外,提出一种有效的修复机制以保证新个体的可行性.该算法在带有阀点效应和多燃料特征的典型电力系统经济负荷分配问题上进行了测试.仿真结果验证了所提算法的有效性.

A differential artificial bee colony algorithm is proposed for economic load dispatch problems of power systems. Inspired by the differential evolution algorithm, the search behaviors of employed bees are improved by using the differential operators, which enhances the exploration ability and accelerates the converge speed of the algorithm. Moreover, an effective repair procedure is proposed to guarantee the feasibility of the new individuals. Experiments are carried out on some typical problems with valve-point effects and multiple fuels. Simulation results show the effectiveness of the proposed algorithm.