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| 摘要: |
| 针对多个FACTS装置的控制器之间存在的负交互影响,提出一种基于Pareto协同进化算法的协调控制方法.利用协同进化算法对控制器参数进行种群划分,对各种群采用遍历组合法构造新的个体并计算目标函数值.采用多种群合作策略进行非支配排序,取排序后的最优个体进行遗传操作,最后得到一组Pareto最优解集.与常规多目标优化算法相比,避免了一般多目标优化进化算法中难以处理的适应度值的分配问题,且利用协同进化算法的并行性大幅提高了收敛速度.利用该方法对静止同步串联补偿器(SSSC)与静止同步补偿器(STATCOM)2种典型FACTS装置的协调控制器进行了设计,并通过仿真验证了设计的协调控制器的控制效果良好. |
| 关键词: FACTS控制器 多目标优化 协同进化算法 协调控制 遗传算法 |
| DOI： |
| 分类号:TM76 |
| 基金项目: |
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| Coordinative control of multiple FACTS controllers based on Pareto co-evolution algorithm |
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LIU Qing WANG Zengping
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| Abstract: |
| Aiming at the negative interaction among FACTS controllers,a coordinative control method based on Pareto co-evolution algorithm is proposed.The controller parameters are divided into populations by co-evolution algorithm and the ergodic combination method is used for each population to construct new unit and calculate the objective function value.The multi-population cooperation strategy is applied for non-dominated sorting and the inheritance operation is then carried out for the best unit to get a group o... |
| Key words: FACTS controllers multi-objective optimization co-evolution algorithm coordinative control inheritance algorithm |
