基于融合熵时段划分的三相配电网动态重构

针对大规模电动汽车接入配电网带来的三相不平衡程度加剧问题,提出一种基于融合熵时段划分的三相配电网动态重构方法。在Fisher-最优分割的基础上,融合曲线的信息熵,对蒙特卡洛模拟得到的等效日负荷曲线进行更加精准合理的时段划分;将动态重构策略引入三相配电网中,以三相不平衡度最低为目标建立配电网重构模型;改进传统的帝国主义竞争算法,在殖民地革命环节中引入复合型微分进化思想,并提出自适应帝国合并机制以提高算法的收敛速度和精度。IEEE 33节点系统仿真结果表明,所提方法能对曲线进行合理的分段重构,并且有效解决了配电网中的三相不平衡问题。

Dynamic reconstruction of three-phase distribution network based on time division of fusion entropy

Aiming at the aggravation of three-phase unbalance degree caused by the access of large-scale electric vehicles into distribution network, a dynamic reconstruction method of three-phase distribution network is proposed based on time division of fusion entropy. On the basis of Fisher-optimal segmentation, the information entropy of curve is fused to make more accurate and reasonable time division of equivalent daily load curve obtained by Monte Carlo simulation. The dynamic reconstruction strategy is introduced into three-phase distribution network, and a distribution network reconstruction model is established with lowest three-phase unbalance degree as its object. The traditional imperialist competitive algorithm is improved, the hybrid differential evolution idea is introduced into the link of colony revolution, and a self-adaptive imperialist combination mechanism is proposed to improve the convergence speed and precision of the algorithm. The simulative results of IEEE 33-bus system show that the proposed method can reconstruct the curve in reasonable segments, and effectively solves three-phase unbalance problem of distribution network.