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Economic analysis of a regional coordinated microgrids system considering optimal PEVs allocation

机译:考虑最优PEV分配的区域协调微电网系统的经济分析

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In this paper, the economic analysis of a regional coordinated Microgrids system (RCMS) considering the allocation model of plug-in electric vehicles (PEVs) is proposed. Such a system is made up of a Residential Microgrid (RMG) and an Industrial Microgrid (IMG), and the two microgrids are already configured with optimized wind turbines and photovoltaic arrays. In this model, the PEVs are served as a mobile energy storage system, purchasing energy from RMG at off-peak times when electricity prices are low, and selling to the IMG when electricity prices are high. To minimize the total cost of RCMS, the optimal number of PEVs is figured out by means of improved particle swarm optimization (IPSO) algorithm. To research the factors affecting optimal PEVs number and cost of the system, the relationship of PEVs charging and discharging price is deeply analyzed. The proposed smart optimal allocation model is tested with case one and case two. The simulation results show that the total cost of the system is effectively reduced adopting the proposed model.
机译:本文提出了一种考虑插电式电动汽车(PEV)分配模型的区域协调微电网系统(RCMS)的经济分析。这样的系统由住宅微电网(RMG)和工业微电网(IMG)组成,并且这两个微电网已经配置了优化的风力涡轮机和光伏阵列。在此模型中,PEV用作移动储能系统,在电价低时的非高峰时间从RMG购买能源,并在电价高时卖给IMG。为了最小化RCMS的总成本,通过改进的粒子群优化(IPSO)算法确定了PEV的最佳数量。为了研究影响系统中最优电动汽车数量和成本的因素,深入分析了电动汽车充放电价格之间的关系。在情况一和情况二下测试了所提出的智能最优分配模型。仿真结果表明,采用该模型可以有效降低系统的总成本。

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