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Multiobjective Distribution Network Reconfiguration Considering the Charging Load of PHEV

机译:考虑PHEV充电负荷的多目标配电网重构

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Energy crisis and environmental pollution make the plug-in hybrid electric vehicle (PHEV) become a hot topic. This paper proposes a multiobjective network reconfiguration methodology based on quantum-inspired binary particle swarm algorithm that aims at alleviating the adverse impact of PHEV on distribution system. The methodology involves two steps: load level division and network reconfiguration for each load level. Two different charging patterns of PHEV are considered in this analysis: uncoordinated charging and coordinated charging. The simulation results show that the proposed methodology is an effective method to make the distribution network more flexible to accommodate PHEV.
机译:能源危机和环境污染使插电式混合动力汽车(PHEV)成为热门话题。本文提出了一种基于量子启发式二进制粒子群算法的多目标网络重构方法,旨在减轻PHEV对配电系统的不利影响。该方法包括两个步骤:负载级别划分和每个负载级别的网络重新配置。在此分析中考虑了PHEV的两种不同充电模式:不协调充电和协调充电。仿真结果表明,所提出的方法是使配电网更灵活地适应PHEV的有效方法。

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