Plug-in electric vehicle control in smart grid

2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2015-12-01 DOI:10.1109/STA.2015.7505178

Siwar Khemakhem, M. Rekik, L. Krichen

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引用次数: 1

Abstract

In this study, the penetration of Plug-in Electric Vehicle (PEV) is considered as a solution to minimize the variance of power load, as well as its ability to improve the efficiency and reliability of the power grid and to reduce carbon emission. The studied PEV is powered by Lithium-ion battery, which is characterized by its storage capacity and high energy densities. In this context, a new control strategy based on “PEV control algorithm” is investigated to detect the presence of the PEV and to monitor it into two operating modes: grid-to-vehicle (G2V) mode whose battery-involved PEV can absorb the excessive electric power from the grid in case of lack of load demand (during the off-peak hours), or vehicle-to-grid (V2G) mode whose PEV can feedback the stored power to the grid when the demand is high or in situations of poor electricity generation (during peak hours), ensuring consequently a smooth power load variance. The system is simulated by using MATLAB software and results are presented in order to show the efficiency of this control strategy.

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智能电网中的插电式电动汽车控制

在本研究中，插电式电动汽车(PEV)的普及被认为是一个解决方案，以尽量减少电力负荷的变化，以及它的能力，提高电网的效率和可靠性，减少碳排放。所研究的PEV由锂离子电池供电，具有存储容量大、能量密度高的特点。在此背景下，研究了一种基于“PEV控制算法”的新型控制策略，以检测PEV的存在并将其监控为两种工作模式:G2V (grid-to-vehicle)模式，其电池式电动汽车可以在负荷需求不足时(非高峰时段)从电网吸收多余的电力;V2G (vehicle-to-grid)模式，其电动汽车可以在需求高或发电差的情况下(高峰时段)将储存的电力反馈给电网，从而确保电力负荷的平稳变化。利用MATLAB软件对系统进行了仿真，并给出了仿真结果，以验证该控制策略的有效性。

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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2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

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