湖北民族大学学报（自然科学版）2025，Vol.43Issue(2)：244-252,9.DOI:10.13501/j.cnki.42-1908/n.2025.06.014
基于IVSG的大容量新能源并网调频控制算法
IVSG-based Frequency Regulation Control Algorithm for High Capacity New Energy Grid Integration
摘要
Abstract
Aiming at the problem that grid frequency fluctuation amplitude increases due to power electronic devices lacking rotational inertia and damping characteristics which were inherited in synchronous generators when high capacity of new energy was integrated to the grid,a frequency regulation control algorithm based on the improved virtual synchronous generator(IVSG)for high capacity new energy grid integration was proposed.Firstly,the virtual synchronous generator control algorithm was constructed based on the correspondence relationship between the electrical quantities of synchronous generator mathematical model and inverter circuit.Secondly,power calculation in virtual synchronous generator algorithm was replaced with power measurement.Thirdly,a control relationship between voltage and reactive power was directly established to improve the reactive power-voltage control module.Finally,the selection of power measurement point and voltage measurement point were optimized by analyzing the concepts of the control quantity and the feedback quantity.A comparative experiment was carried out between the IVSG control algorithm and the traditional inverter control strategy.When the grid load increased,the lowest point of the grid frequency increased by 0.30%;when the grid load decreased,the highest point of the grid frequency decreased by 0.95%.The experiment proved that the amplitude of grid frequency fluctuation could be significantly reduced by the IVSG-based frequency regulation control algorithm.关键词
虚拟同步发电机/并网逆变器/控制算法优化/频率波动/一次调频/转动惯量Key words
virtual synchronous generator/grid integrated inverter/control algorithm optimization/frequency fluctuation/primary frequency control/rotational inertia分类
信息技术与安全科学引用本文复制引用
陈静,丁天启..基于IVSG的大容量新能源并网调频控制算法[J].湖北民族大学学报（自然科学版）,2025,43(2):244-252,9.基金项目
国家自然科学基金项目(51874010) （51874010）
安徽省教育厅高校自然科学研究项目(KJ2018A0087). （KJ2018A0087）
