基于改进多种群遗传算法的配电网规划AN IMPROVED POLY-POPULATION GENETIC ALGORITHM BASED POWER DISTRIBUTION NETWORK PLANNING
余健明,吴海峰,杨文宇
摘要(Abstract)：
提出了改进的多种群遗传算法并将其应用于配电网规划。根据优化目标数学模型确定统一目标函数和多个子目标函数,并将其作为父、子种群的适应度评价函数,用迁徙算子决定父子种群的联系程度。采用“0”和“1”逐线逐点方式对馈线和变电站进行编码,并构成网架的染色体。用变电站的容载比作为约束条件决定变电站的负荷规模。在此基础上提出了包括孤链、闭环、孤岛的修复方案,将遗传操作所产生的非辐射性网络修复成辐射性网络。该方法可以处理同时涉及变电站和馈线优化的多目标配电网规划问题。算例结果表明了该方法的有效性。
关键词(KeyWords)： 电力系统;输配电工程;配电网规划;多种群遗传算法;网架修复
基金项目(Foundation): 国家自然科学基金资助项目(50277039)。~~
作者(Author): 余健明,吴海峰,杨文宇
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