基于改进人工蜂群算法的配电网谐波量测点优化配置

Optimized Configuration of Harmonic Measurement Points in Distribution Network Based on Improved Artificial Bee Colony Algorithm

为了进一步提高配电网谐波状态估计的可观性和准确性,同时合理地优化PMU量测配置方案,提出应用改进人工蜂群算法求解达到同一优化目标的多种量测配置优化方案,为规划设计结合现场实际情况提供最优选择。算例分析结果验证了该算法的实用有效性;未改进人工蜂群算法所配置方案与改进方案的对比结果表明,该改进算法能进一步提高系统可观测度。

In order to further improve the observability and accuracy of the harmonic state estimation of the distribution network,the PMU measurement configuration scheme is reasonably optimized at the same time.A variety of measurement configuration optimization schemes that use improved artificial bee colony algorithm to achieve the same optimization goal,and provide the best choice for planning and design combined with the actual situation in the field were proposed.The practical effectiveness of the algorithm was verified by the example analysis results.The scheme of the unmodified artificial bee colony algorithm and the improved scheme were compared.The results showed that the improved algorithm could further improve the system observability.