当前位置: X-MOL 学术IEEE Trans. Ind. Inform. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Molecular Evolution Based Dynamic Reconfiguration of Distribution Networks With DGs Considering Three-Phase Balance and Switching Times
IEEE Transactions on Industrial Informatics ( IF 11.7 ) Pub Date : 8-20-2018 , DOI: 10.1109/tii.2018.2866301
Chunhua Peng , Lu Xu , Xun Gong , Huijuan Sun , Lei Pan

As the problem of three-phase unbalance in a distribution network with distributed generations (DGs) is prominent, a multiobjective dynamic reconfiguration method for three-phase balance is proposed to make reconfiguration more reasonable and effective. Based on three-phase power flow calculation and reconfiguration process analysis of distribution networks with DGs, a new reconfiguration model with comprehensive optimization objectives of minimizing three-phase unbalance factor and number of switching times are established. A network connectivity discrimination method based on the algebraic connectivity of graph theory is adopted to quickly remove infeasible solutions, and a new multiobjective molecular differential evolution algorithm is designed to improve optimization depth and avoid prematurity in the optimization process, which is based on the principle of closer molecules with greater intermolecular repulsion. The multiobjective optimal dynamic reconfiguration of a modified IEEE 34-bus test feeder with DGs is carried out and the simulation results demonstrate the effectiveness and superiority of the proposed method.

中文翻译:


考虑三相平衡和切换时间的基于分子进化的 DG 配电网动态重构



针对分布式电源(DG)配电网三相不平衡问题突出,提出一种三相平衡多目标动态重构方法,使重构更加合理有效。基于三相潮流计算和含DG配电网重构过程分析,建立了以三相不平衡系数和切换次数最小为综合优化目标的重构模型。采用基于图论代数连通性的网络连通性判别方法快速剔除不可行解,并基于分子越近,分子间斥力越大。对带有DG的改进IEEE 34总线测试馈线进行多目标优化动态重构,仿真结果证明了该方法的有效性和优越性。
更新日期:2024-08-22
down
wechat
bug