基于多目标飞蛾算法的电力系统无功优化研究 (Multi-objective Moth-flame Optimization Algorithm Based Optimal Reactive Power Dispatch for Power System)

In v iew o f the increasing pow er energy demand and the draw back o f conventiona l reactive pow er o p tim iza tio n m e thods,how to e ffe c tive ly solve the reactive pow er o p tim iza tio n has become a h o t spot in pow er research. T h is paper proposed a m u lti-o b je c tive m odel o f reactive pow er o p tim iza tio n problem s in pow er system and a m u lti-o b je c tive m othflam e o p tim iza tio n a lg o rith m (M O M F A ) to optim ize problem s w ith m u ltip le ob jectives fo r the f ir s t tim e. A fixed-sized exte rna l a rc h iv e ,g rid and select m echanism are in teg ra ted to the M O M F A fo r m ain ta in in g and im p ro v in g the pareto op­ tim a l so lu tio n s. T he proposed a lg o rith m is com pared w ith tw o w e ll-kn o w n a lg o rith m s on CEC m u lti-o b je c tive op tim iza­ tio n te s t prob lem s. M ore o ve r, the proposed a lg o rith m was sim u la ted in rea l pow er system data and com pared w ith tw o w e ll-kn o w n a lg o rith m s:m u lti-o b je c tive p a rtic le sw arm o p tim iza tio n (M O PSO) and non-dom inated so rtin g genetic algo­ r ith m ve rs ion 2 (N S G A-I I ). T he resu lts dem onstrate th a t the proposed a lg o rith m is o u tpe rfo rm s o th e r a lg o rith m s in reactive pow er o p tim iza tio n.