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基于混沌二进制粒子群算法的配电网重构研究 被引量:14

Research on Distribution Network Reconfiguration Based on Chaos Binary Particle Swarm Optimization
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摘要 配电网络重构是现代配电网自动化的重要功能,同时也是配电系统安全经济运行的重要环节。因此,配电网重构正受到研究人员的极大关注。以网络损耗最小为目标函数,将混沌映射引入在二进制粒子群算法进行网络重构中,克服二进制粒子群算法容易陷入局部最优的缺点,得到了更精确的优化结果。将混沌粒子群算法应用于重构问题,利用IEEE经典算例进行验算。结果证明,该方法有效降低了网络损耗,且提升了最低节点电压。 Distribution Network Reconfiguration has an important function as modem distribution network automation, at the same time, it is an important part of the safe and economic operation of the distribution system. Therefore, distribution network reeonfiguration attracts great attention for researchers. In this paper, minimum network loss as the objective function, combination of the chaotic algorithm and particle swarm algorithm, to avoid falling into local optimum for the binary particle swarm optimization, to get a more accurate solution, experimental results show that this method reduces network losses and enhances the minimum node voltage, not only improve power quality, but also ensures the reliability Of the power grid.
出处 《电力科学与工程》 2013年第9期34-37,共4页 Electric Power Science and Engineering
关键词 网络重构 二进制粒子群 混沌 网络损耗 优化 distribution network reconfiguration binary particle swarm optimization chaos network loss optimization
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