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Improved ant colony algorithm in the distribution of reactive power compensation device and optimization

机译:改进的蚁群算法在无功补偿装置分配中的应用及优化

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摘要

Ant colony algorithm is a kind of simulation of collaborative optimization algorithm of ants foraging, imitating ants dependence information communication and social behavior, showing in the agents, on the basis of the definition of a greedy method under the guidance of the catalytic process guide each agent. Put forward improved ant colony algorithm is applied to power system of reactive power optimization, to IEEE 14 node system by simulation calculation, the optimal scheme of reactive power compensation, the optimization design and improvement of ant colony algorithm of the optimization results can be more effectively at or near the optimal.
机译:蚁群算法是模拟蚂蚁觅食协同优化算法的一种,模仿蚂蚁依赖信息的交流和社会行为,在代理商中表现出来,在贪婪方法的定义的基础上,以催化过程为指导指导每个代理商。提出了改进的蚁群算法应用于电力系统无功优化,通过仿真计算应用于IEEE 14节点系统,优化了无功补偿方案,可以更有效地优化蚁群算法的优化设计和改进效果。达到或接近最佳。

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