随着传统集中式电源向分布式能源系统的转型，高比例新能源的渗透使大量谐波注入电网，产生附加损耗。配电网损耗占系统总损耗的一半以上，是网络降损的重点。提出了一种基于改进二进制粒子群优化算法的网络重构方法降低配网损耗。首先针对谐波对网损的影响，结合线路在高频电流下的谐波效应修正线路阻抗。其次，用修正后的阻抗计算网络总损耗，创造性地提出适合二进制算法的概率反向学习思想，融合佳点集理论获得均匀多样的初始粒子。最后，以修改的33节点电力系统作为算例，以总损耗最小为优化目标进行计算，获得配电网最优拓扑结构。实验结果表明，考虑谐波因素的配电网重构起到了很好的降损效果。

With the transition from traditional centralized power systems to distributed energy systems, harmonics are produced due to the penetration of renewable energy, resulting in additional losses. Distribution network loss accounts for more than half of the total system loss and is the focus of network loss reduction. A network reconstruction method based on improved binary particle swarm optimization algorithm was proposed to reduce distribution network loss. Firstly, considering the influence of harmonic wave on network loss and the harmonic effect of the line under high frequency current, the line impedance was modified. Then, the total loss of the network was calculated using the corrected impedance, and a probabilistic reverse learning approach suitable for binary algorithms was creatively proposed, integrating the theory of the good point set to obtain uniform and diverse initial particles. Finally, taking the modified 33 node power system as an example, the optimization objective was to minimize the total loss and obtain the optimal topology structure of the distribution network. The experimental results show that the distribution network reconstruction considering harmonic factors has played a good role in reducing the loss of distribution network.