基于工频平衡的电动汽车集成微电网稳定性分析

Prasun Sanki, M. Basu, P. Pal
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引用次数: 7

摘要

本文旨在设计聚合电动汽车(EV)的稳定裕度,以支持具有可再生能源生产商(RPPs)和储能设备(ESDs)的孤岛微电网(IMG)中的自动发电控制(AGC)运行。在现代电力系统中引入电动汽车的同时,如何保证更好的电源管理是IMG系统面临的挑战。采用了一种开创性的尝试来确定基于其参与,充电状态和额定功率的聚合电动汽车模型的稳定裕度。在此背景下,本文提出了一种新颖的比例积分反馈与比例导数(PI-PD)控制器,用于研究各种条件下的系统性能。内环中PD控制器的存在确保了更好的稳定性,使合适的开环极点放置确保了理想的系统响应。多年来,控制器参数的整定成为研究人员面临的新挑战。为此,本文采用粒子群算法(PSO)对控制器的增益参数进行整定。此外,还进行了对比研究,以验证控制器的性能。在MATLAB/Simulink环境下制定并给出了几个案例研究,以验证所提出的系统配置的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability Analysis of Electric Vehicle Integrated Microgrid for Power Frequency Balance
This paper aims to design the stability margin of an aggregated electric vehicle (EV) for supporting automatic generation control (AGC) operation in an islanded microgrid (IMG) with renewable power producers (RPPs) and energy storage devices (ESDs). Challenge of ensuring better power management while introducing EV in modern power system is the foreground in the IMG system. A groundbreaking attempt has been adopted to determine the stability margin of an aggregated EV model based on its participation, state of charge and power rating. In this context, this proposed work presents a novel proportional integral feedback with proportional derivative (PI-PD) controller for investigating system performance under various conditions. The presence of PD controller in the inner loop ensures better stability enabling the suitable open loop pole placement which assures desirable system response. Over the years, tuning of the controller parameters becomes a new challenge to the researchers. Given this, particle swarm optimization (PSO) is employed here to tune the gain parameters of the controller. Further, comparison studies are also carried out to verify the controller performance. Several case studies are formulated and presented under the MATLAB/Simulink environment to validate the performance of the proposed system configuration.
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