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Optimized Charge Scheduling of Plug-In Electric Vehicles using Modified Placement Algorithm

机译:改进布局算法优化插电式电动汽车的充电调度

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Electric Vehicles (EV) are found to be promising alternatives for IC engine vehicles as it significantly reduces the fossil fuel usage and in turn, the environmental issues such as CO2 emission, global warming caused by burning the fuel. Energy Storage System (ESS) is the heart of the EV and the batteries need to be charged in a regular interval or upon requirement for the operation of vehicle. EVs are connected to the charging station for charging and the charging is generally scheduled based on the given conditions for optimized charging. The scheduling algorithm creates a charging profile for the EVs to charge the batteries in such a way to meet the objectives of scheduling. This paper presents the electric vehicle charge scheduling using Modified Placement algorithm. The objective of the proposed algorithm is to minimize the cost of charging. The algorithm is developed in MATLAB. Electric Vehicles with different power rating and rate of charging are selected to study the performance and accuracy of scheduling algorithm. The charge scheduling of selected vehicles are analyzed based on Time of Use Pricing (ToUP) tariff scheme.
机译:电动汽车(EV)被认为是IC发动机汽车的有前途的替代品,因为它大大减少了化石燃料的使用,进而减少了诸如CO等环境问题 2 排放,是由于燃烧燃料引起的全球变暖。储能系统(ESS)是电动汽车的心脏,电池需要定期充电或根据车辆运行需要充电。电动汽车连接到充电站进行充电,通常根据给定的条件安排充电时间以优化充电。调度算法为电动汽车创建充电配置文件,以便以满足调度目标的方式为电池充电。本文提出了使用改进布局算法的电动汽车充电调度。所提出的算法的目的是使充电成本最小化。该算法是在MATLAB中开发的。选择具有不同额定功率和充电率的电动汽车,以研究调度算法的性能和准确性。根据使用时间定价(ToUP)收费方案分析所选车辆的收费计划。

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