基于免疫算法的高温超导故障限流器Pareto多目标优化配置Immune Algorithm Based Pareto Multi-Objective Optimal Allocation of High Temperature Superconductor-Fault Current Limiters
陈柏超;魏亮亮;雷洋;涂志康;袁佳歆;陈峰;聂德鑫;潘靖;
摘要(Abstract):
针对高温超导故障限流器(high temperature superconductor-fault current limiter,HTS-FCL)的全网优化配置问题,提出了一种基于免疫算法的高温超导故障限流器Pareto多目标优化配置新方法。该方法综合考虑了限流器的成本和限流效果这2个优化目标。首先介绍了HTS-FCL的基本结构和原理,分析了安装高温超导故障限流器对原系统自阻抗的影响,提出了一种基于短路电流变化率的灵敏度计算方法,该方法可以缩小搜索空间,提高算法效率。然后分别建立了限流器成本评价子函数、限流效果评价子函数和多目标评价函数,制定了基于免疫算法的多目标Pareto优化算法流程,并在传统免疫算法的基础上提出了一种改进型的等成本倒位算子,通过仿真验证表明该算子较常规的免疫算法,能更好地收敛到最优解。最后以IEEE 39标准节点系统为例,实现了HTS-FCL的全网优化配置,验证了新方法的有效性,并求得了在综合考虑限流器成本和限流效果下的Pareto最优解集,设计者可以根据自己的意愿和实际情况在所求得的Pareto最优解集中选择合适的最优方案。
关键词(KeyWords): 高温超导故障限流器;免疫算法;等成本倒位算子;多目标优化;Pareto最优解集
基金项目(Foundation): 国家自然科学基金项目(50807041);; 武汉市科技攻关计划(2013060501010164);; 武汉市青年科技晨光计划(2013070104010010);; 国家电网公司科技项目(WNJ131-0048)~~
作者(Author): 陈柏超;魏亮亮;雷洋;涂志康;袁佳歆;陈峰;聂德鑫;潘靖;
Email:
DOI: 10.13335/j.1000-3673.pst.2015.05.026
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