A weighted voltage model predictive control method for a virtual synchronous generator with enhanced parameter robustness

作     者：Leilei Guo Zhiye Xu Nan Jin Yanyan Li Wei Wang 

作者机构：College of Electric and Information EngineeringZhengzhou University of Light IndustryZhengzhouChina 

出 版 物：《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制（英文）)

年 卷 期：2021年第6卷第1期

页      面：482-492页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：supported in part by the National Natural Science Foundation of China(51707176) in part by the Youth Talent Support Project of Henan Province(2019HYTP021) in part by the Youth Talent Support Project of Henan Province(2019HYTP021) in part by the Key Research,Development and Promotion Special Project(Science and Technology)of Henan Province(202102210103) 

主　　题：Virtual synchronous generator Model predictive control Optimal voltage vector Parameter error compensation 

摘      要：To address the problem of insufficient system inertia and improve the power quality of grid-connected inverters,and to enhance the stability of the power system,a method to control a virtual synchronous generator(VSG)output voltage based on model predictive control(MPC)is *** of the inductors,capacitors and other components of the VSG can vary as the temperature and current *** the VSG output voltage and power control accuracy using the conventional MPC method may be *** this paper,to improve the parameter robustness of the MPC method,a new weighted predictive capacitor voltage control method is *** detailed theoretical analysis,the principle of the proposed method to reduce the influence of parameter errors on voltage tracking accuracy is ***,the effectiveness and feasibility of the proposed method are verified by experimental tests using the Typhoon control hardware-in-the-loop experimental platform.