基于二进制粒子群算法的母联闭合型电网重构策略

A Reconstruction Strategy of Closed Bus-Ties Power Grid Based on Binary Particle Swarm Optimization

为解决母联闭合型电网发生故障时的电网重构问题,提出一种基于二进制粒子群算法的电网重构策略。根据深水半潜平台电网特殊的网络架构和电气特性,建立以最大程度恢复重要负载供电为目标,以电网结构和系统容量为约束条件的母联闭合型电网故障恢复模型。为提升求解效率,为该模型设计基于二进制粒子群算法的两阶段优化求解流程,并将求解结果与混沌遗传算法和免疫克隆算法的仿真结果相对比。仿真结果表明,提出的电网重构策略具有较高的搜索效率和较强的寻优能力,能有效提高母闭合型电网故障恢复的速度和精度。

According to the network architecture and electrical characteristics of the power grid on deep-water semi-submersible platform,a fault recovery model for the closed bus-ties grid is established and solved for recovering as many as possible important loads.The objective function is set up accordingly.The constraints are decided by the power grid structure and system capacity.In order to accelerate the solving process,a two-stage binary particle swarm optimization algorithm is designed.The algorithm is verified through comparing it to the chaotic genetic algorithm and the immune cloning algorithm.