引用本文: | 李德胜,李国策,刘 博.基于虚拟同步发电机控制技术的V2G系统研究[J].电力系统保护与控制,2021,49(7):127-133.[点击复制] |
LI Desheng,LI Guoce,LIU Bo.Research on V2G system based on virtual synchronous generator control technology[J].Power System Protection and Control,2021,49(7):127-133[点击复制] |
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摘要: |
随着新能源汽车的普及,V2G(Vehicle-to-Grid)技术受到越来越多的重视。针对电动汽车并入配电网低惯性的特点,选取虚拟同步发电机控制技术(Virtual Synchronous Generator, VSG)作为控制方案,结合同步发电机的功角曲线和转动惯量的特性,提出了一种转动惯量的自适应控制算法。利用有功转子环节功率变化量与频率变化量之间存在一阶惯性的特点,通过分析转动惯量与此一阶惯性环节时间常数之间存在的关系,设计了转动惯量的自适应控制算法。并分析了同步发电机的调差系数、阻尼系数与下垂系数之间的关系。最后在Simulink仿真平台搭建模型,验证了所提算法的有效性。 |
关键词: V2G 虚拟同步发电机 转动惯量 自适应算法 功角曲线 |
DOI:DOI: 10.19783/j.cnki.pspc.D202009 |
投稿时间:2020-09-11修订日期:2020-11-30 |
基金项目:国家自然科学基金项目资助(51277056) |
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Research on V2G system based on virtual synchronous generator control technology |
LI Desheng1,2,LI Guoce1,2,LIU Bo1,2 |
(1. National Innovation Energy Vehicle Smart Energy Equipment Innovation Center (Jiangsu) Co., Ltd.,
Changzhou 213000, China; 2. Wanbang Digital Energy Co., Ltd., Changzhou 213000, China) |
Abstract: |
As ‘new energy’ vehicles have become more popular, V2G (Vehicle-to-Grid) technology has received increasing attention. Aiming at the low inertia characteristics of electric vehicles integrated into the switching network, this paper selects Virtual Synchronous Generator (VSG) control technology as a control scheme. Combining the characteristics of the power angle curve and the moment of inertia of synchronous generators, an adaptive virtual synchronous generator (VSG) control algorithm for moment of inertia is proposed. By using the characteristics of first-order inertia between the power variation of the active rotor and the frequency variation, the adaptive control algorithm of the moment of inertia is designed by analyzing the relationship between the moment of inertia and the time constant of the first-order inertia link. The relationship between the adjustment, damping and droop coefficients of the synchronous generator is analyzed. Finally, the model is built on the Simulink simulation platform to verify the effectiveness of the proposed algorithm.
This work is supported by the National Natural Science Foundation of China (No. 51277056). |
Key words: V2G virtual synchronous generator moment of inertia adaptive algorithm power angle curve |