机电工程技术2025，Vol.54Issue(23)：121-128,152,9.DOI:10.3969/j.issn.1009-9492.2025.23.021
三相光伏储能系统及并网控制建模仿真
Modeling and Simulation of Three-phase Photovoltaic Power Generation and Storage System and Its Grid-connected Control
摘要
Abstract
Due to the lack of damping and inertia in the traditional grid-following type photovoltaic(PV)power generation system,when it is connected to the power grid at a high proportion,the total damping and rotational inertia of the system will decrease,which in turn affects the stable operation of the power system.To address this issue,a parameter-adaptive virtual synchronous generator(VSG)grid-forming control strategy is proposed.First,the overall architecture of the photovoltaic energy storage power generation system is expounded,and the processes of photovoltaic maximum power point tracking(MPPT)and energy storage control are analyzed.Second,the transfer function of traditional VSG control is established,and the influence of virtual rotational inertia J and damping coefficient D on the dynamic response characteristics of the system is analyzed.The change rate and the positive or negative direction of the change amplitude of the angular velocity in the VSG power-angle characteristic are used as the basis for the adaptive adjustment of parameters J and D.Then,the requirements for the adaptive values of the parameters are determined,and an adaptive control strategy for the parameters J and D is proposed.Finally,a VSG control model of the photovoltaic energy storage grid-connected system is built based on the MATLAB/Simulink platform.The simulation results show that the proposed improved strategy can effectively improve the frequency stability of the system during the transient process.关键词
组网型控制/虚拟同步发电机(VSG)/阻尼系数/虚拟转动惯量Key words
grid-forming control/virtual synchronous generator(VSG)/damping coefficient/virtual rotational inertia分类
信息技术与安全科学引用本文复制引用
吴瑞雨,吴自然,陈丰飞,许小峰,吴桂初..三相光伏储能系统及并网控制建模仿真[J].机电工程技术,2025,54(23):121-128,152,9.基金项目
浙江省"领雁"科技计划项目(2025C02243) （2025C02243）
温州市高水平创新团队(2024R1002) （2024R1002）
国家自然科学基金-联合基金项目-重点支持项目(U24A20152) （U24A20152）
