在储能系统存在的情况下,为低惯性车辆到电网系统提供频率支持的智能双向充电

M. Mehrasa, H. Salehfar, D. Selvaraj, Sina Ibne Ahmed
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引用次数: 0

摘要

本文重点研究了低惯性并网车对网系统中电动汽车(EV)充电器、储能系统(ESS)和智能充放电策略之间的协调问题。考虑电动汽车的约束条件,提出了两种智能双向充电策略对电动汽车和ESS进行控制,使频率误差最小化。采用改进目标函数的线性规划优化算法设计电动汽车智能充电技术。对于ESS,评估了三种运行场景:1)无ESS, 2)有ESS, 3)有ESS并考虑荷电状态(SOC)下降。在ESS的综合充电策略中,采用了与电动汽车相同的LPOA,其中电动汽车的荷电状态下降显著提高了频率调节能力,而电动汽车在特定时间间隔内具有确定的低荷电状态。在MATLAB/SIMULINK环境下的仿真结果验证了这些智能充电技术的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart bidirectional charging for frequency support of a low-inertia vehicle-to-grid system in presence of energy storage systems
This paper focuses on the challenge to develop coordination between an electric vehicle (EV) charger, energy storage system (ESS), and smart charging/discharging strategy in a low-inertia grid-connected vehicle-to-grid system. Two smart bidirectional charging strategies are proposed to control EV and ESS for minimizing the frequency error by considering the EV constraints. A linear programming optimization algorithm with modified objective function is employed to design a smart charging technique for EVs. For ESS, three operating scenarios are assessed 1) without ESS, 2) with ESS, and 3) with ESS and considering the state of charge (SOC) drop. In the comprehensive charging strategy for ESS, the same LPOA designed for EV has been employed wherein EV SOC drop is observed to noticeably increase frequency regulation ability while the EV has a determined low SOC during a specified interval. The simulation results in MATLAB/SIMULINK environment validate the accuracy of these smart charging techniques.
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