基于改进蜂群算法的电力系统经济负荷分配

Power System Economic Load Dispatch Based on Improved Artificial Bee Colony Algorithm

在处理复杂、非凸、非线性的电力系统经济负荷分配问题时,传统智能算法往往存在收敛速度慢、寻优能力差等缺点。将单纯形法嵌入人工蜂群算法中,提出一种改进蜂群算法,应用到电力系统经济负荷分配中。该算法保留了人工蜂群算法强大的全局搜索能力,同时改进了跟随蜂的搜索方式,并使用单纯形法算子对较优蜜源进行快速的确定性局部搜索,从而提高整体算法的寻优能力和收敛速度,并提出一种有效的约束条件修复方法以保证新个体的可行性。在带有阀点效应的电力系统经济负荷分配上的仿真测试结果,验证了所提算法的有效性。

The traditional intelligent algorithms usually have slow convergence speed and poor optimization capability while dealing with the discontinuous,non-convex and nonlinear power system economic load dispatch problems.A new algorithm combined simplex search method with artificial bee colony algorithm is proposed and applied to power system economic load dispatch problems.This algorithm maintains the powerful global search capability of artificial bee colony algorithm and improves the search mode of onlooker.In addition,it uses the simplex search method to optimize better food sources provided by the artificial bee colony algorithm quickly and determinately.So,it improvs the search capability and convergence speed of the new algorithm.Moreover,an effective repair procedure is proposed to guarantee the feasibility of the new individuals.Experiments are carried out on some power system economic load dispatch problems with valve-point effects.Simulation results show the effectiveness of the proposed algorithm.