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GCPSO in cooperation with graph theory to distribution network reconfiguration for energy saving

机译：GCPSO与图论合作对配电网进行重构以节省能源

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摘要

Network reconfiguration for loss reduction in distribution system is an important way to save energy. This paper investigates the ability of guaranteed convergence particle swarm optimization (GCPSO) and particle swarm optimization (PSO) in cooperation with graph theory for network reconfiguration to reduce the power loss and enhancement of voltage profile of distribution systems. Numerical results of three distribution systems are presented which illustrate the feasibility of the proposed method by GCPSO and PSO using the graph theory. To validate the obtained results, genetic algorithm (GA) using graph theory is also applied and is compared with the proposed GCPSO and PSO using graph theory.
机译：网络重新配置以减少配电系统的损耗是节省能源的重要途径。本文结合图论研究了保证收敛的粒子群优化算法（GCPSO）和粒子群优化算法（PSO）的网络重构能力，以减少功率损耗并提高配电系统的电压分布。给出了三种配电系统的数值结果，用图论说明了由GCPSO和PSO提出的方法的可行性。为了验证所获得的结果，还应用了基于图论的遗传算法（GA），并将其与提出的基于图论的GCPSO和PSO进行了比较。

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