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

2019 International Conference on Computer Communication and Informatics (ICCCI) Pub Date : 2019-01-01 DOI:10.1109/ICCCI.2019.8821960

M. S. Sheik, A. T. Imthias, D. Devaraj

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引用次数: 3

Abstract

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.

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基于改进布局算法的插电式电动汽车充电调度优化

电动汽车(EV)被认为是IC发动机汽车的有希望的替代品，因为它大大减少了化石燃料的使用，从而减少了燃烧燃料引起的二氧化碳排放、全球变暖等环境问题。储能系统(ESS)是电动汽车的心脏，需要定期或根据车辆运行的需要对电池进行充电。将电动汽车连接到充电站进行充电，通常根据给定的优化充电条件进行充电计划。调度算法为电动汽车创建充电配置文件，以满足调度目标。提出了一种基于改进布局算法的电动汽车充电调度方法。该算法的目标是使收费成本最小化。该算法是在MATLAB中开发的。选择不同额定功率和充电速率的电动汽车，研究调度算法的性能和准确性。基于分时电价(tup)方案，对选定车辆的充电调度进行了分析。

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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2019 International Conference on Computer Communication and Informatics (ICCCI)

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