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Research on reactive power compensation for distribution network based on biogeography-based optimization algorithm

机译:基于生物地理优化算法的配电网无功补偿研究

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Distribution network reactive power optimization, which can effectively reduce distribution network wastage, can not only improve voltage distribution network quality, but also realize the distribution network security control. Stable operation provides solid foundation for the electric power enterprise economy. Unlike genetic algorithm that shares the feature information between the chromosomes, the unique migration pattern of BBO algorithm makes the good feature in the habitats broadcast widely among habitats, thus, the optimization process would be accelerated and the reactive power compensation location could be confirmed quickly. And by using BBO algorithm in the example analysis and conducting simulation through PSASP, it proves that biogeography optimization algorithm is quite effective when applied in distribution network reactive power optimization.
机译:配电网无功优化,可以有效减少配电网浪费,不仅可以提高配电网电压,还可以实现配电网安全控制。稳定的运行为电力企业的经济发展奠定了坚实的基础。与遗传算法共享染色体之间的特征信息不同,BBO算法独特的迁移模式使得其在生境之间广泛传播的生境中具有良好的特征,从而可以加快优化过程并迅速确定无功补偿位置。并通过实例分析中的BBO算法并通过PSASP进行仿真,证明了生物地理优化算法在配电网无功优化中的有效性。

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