A Charging Coordination Strategy for Seamless Integration of Plug-In Electric Vehicles Into a Distribution Network

IF 5.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IEEE Transactions on Industry Applications Pub Date : 2026-09-01 Epub Date: 2026-01-20 DOI:10.1109/TIA.2026.3656151
Jajna Prasad Sahoo;S. Sivasubramani
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引用次数: 0

Abstract

The growing adoption of plug-in electric vehicles (PEVs) has significantly increased electricity demand, necessitating upgrades to both the power grid and charging infrastructure. Uncoordinated charging of PEVs can result in an increased power losses and the overloading of distribution lines, leading to higher operational costs. This work proposes a coordinated charging methodology that incorporates both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operations to facilitate the smooth incorporation of PEVs in distribution system. To assess the technical and economic implications of PEV adoption, a comprehensive charging strategy is developed to minimize the operational costs of charging stations (CSs). The problem is modeled as a single-objective optimization task and solved using the exponential distribution-based particle swarm optimization (EDPSO), effectively reducing energy costs, reducing system power losses, and preventing overloading. For comparison, the proposed model is also solved using the advanced PSO (APSO), and the basic PSO. The methodology is tested on a 33-bus radial distribution network, integrating CSs located at industrial nodes with solar and wind energy. Feasibility is analyzed under scenarios including and excluding solar and wind energy to ensure that distribution connections remain within safe limits despite the addition of PEVs.
插电式电动汽车与配电网无缝集成的充电协调策略
插电式电动汽车(pev)的日益普及大大增加了电力需求,需要对电网和充电基础设施进行升级。pev的不协调充电可能导致电力损失增加和配电线路过载,从而导致更高的运营成本。这项工作提出了一种协调的充电方法,该方法结合了电网对车辆(G2V)和车辆对电网(V2G)操作,以促进pev在配电系统中的顺利整合。为了评估采用电动汽车的技术和经济影响,我们制定了一项全面的充电策略,以最大限度地降低充电站的运营成本。将该问题建模为单目标优化任务,并采用基于指数分布的粒子群优化算法(EDPSO)进行求解,有效地降低了能源成本,减少了系统的功率损耗,并防止了过载。为了比较,本文提出的模型还采用了高级粒子群算法(APSO)和基本粒子群算法(PSO)进行求解。该方法在一个33总线的径向配电网络上进行了测试,该网络将位于工业节点的CSs与太阳能和风能相结合。在包括和不包括太阳能和风能的情况下分析可行性,以确保在增加pev的情况下配电连接保持在安全范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Industry Applications
IEEE Transactions on Industry Applications 工程技术-工程:电子与电气
CiteScore
9.90
自引率
9.10%
发文量
747
审稿时长
3.3 months
期刊介绍: The scope of the IEEE Transactions on Industry Applications includes all scope items of the IEEE Industry Applications Society, that is, the advancement of the theory and practice of electrical and electronic engineering in the development, design, manufacture, and application of electrical systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; industry leadership in energy conservation and environmental, health, and safety issues; the creation of voluntary engineering standards and recommended practices; and the professional development of its membership.
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