Optimum Charging Scheduling of an EV PL Owning Smart Reservation System

2022 11th International Conference on Power Science and Engineering (ICPSE) Pub Date : 2022-09-23 DOI:10.1109/ICPSE56329.2022.9935434

Tayfur Gokcek, S. Guner, Jale Sadreddini, O. Erdinç

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Abstract

With increasing the penetration rate of electric vehicle (EV) usage, the challenge of finding an available parking slot has been turned into finding an available parking slot having EV charger in metropolitans. Smart charging reservation systems considering EV drivers’ preferences can facilitate finding an available charging station as well as managing the charging load of EVs in a parking lot. In this study, a bi-level optimization model is defined for minimizing the parking price of EV users, maximizing the profit of EV parking lot (PL) operator and the last one minimizing total power losses of the distribution network. A smart charging reservation system is used to select the EVs which are accepted for giving charging service considering several parameters. This reservation system was generated using Analytical Hierarchy Process (AHP) from Multi-Criteria Decision Making (MCDM) techniques. A PV system on the roof the PL is modelled to support the charging load of EVs at the PL. A mixed-integer linear programming model is established for solving the generated optimization problem.

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电动汽车PL智能预约系统的最优充电调度

随着电动汽车使用普及率的提高，在大城市寻找可用停车位的难题已经变成了寻找有电动汽车充电器的可用停车位的难题。智能充电预约系统考虑到电动汽车司机的喜好，可以方便地找到可用的充电站，并管理停车场电动汽车的充电负荷。本文定义了以电动汽车用户停车价格最小、电动汽车停车场运营商利润最大、配电网总损耗最小为目标的双层优化模型。采用智能充电预约系统，综合考虑多个参数，选择可接受充电的电动汽车。该预订系统采用多准则决策(MCDM)技术中的层次分析法(AHP)生成。建立了电站屋顶光伏系统的模型，以支持电站上电动汽车的充电负荷，并建立了混合整数线性规划模型来求解生成的优化问题。

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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2022 11th International Conference on Power Science and Engineering (ICPSE)

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