基于混合智能算法的配电网络重构

Reconfiguration of Distribution Network Based on Hybrid Intelligent Algorithm

提出了一种基于最优流和模拟植物生长法的配电网络重构混合算法。该算法模拟植物生长算法,帮助最优流算法避开局部最优,减少搜索次数和开关变换次数,从根本上提高计算速度。算法将目标函数与约束条件分开处理,采用方向性的搜索机制,避免了一些参数难以确定或搜索方向无引导性而陷入局部最优的问题。根据配电网的特点,改进了以开关作为控制变量的表达方式,降低了变量维数,提高了计算效率。采用四种状态描述开关的运行方式,有效减小了寻优过程中的搜索范围。对IEEE69节点系统进行分析计算,并对比相关文献结果,所提方法具有快速的全局寻优能力。

A distribution network reconfiguration algorithm is proposed based on optimal flow pattern and plant growth simulation algorithm. The algorithm uses the plant growth simulation algorithm to help the optimal flow pattern algorithm to prevent local optimal, and reduces the search times and switching times and thus fundamentally increase the computation speed. The algorithm handles the objective function and constraints separately, and adopts directional search mechanism. It can avoid falling into local optimal point due to uncertainness of some parameters and without guiding search direction. According to the features of distribution network, an improved expression scheme of variable, using switch, is also developed, which dramatically reduces the dimension of variable and improves the efficiency of calculation. At the same time, the switch is described using four states which can effectively decreases the search space in optimizing process. To verify the effectiveness of the proposed method, comparative studies are conducted on IEEE69 bus sample systems with rather encouraging results.