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 · 发表于：Protection and Control of Modern Power Systems · 年份：2021 · DOI：10.1186/s41601-021-00217-8 · 被引用次数：28 · 研究领域：Microgrid Control and Optimization、Multilevel Inverters and Converters、Advanced DC-DC Converters

Abstract 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 proposed. Parameters of the inductors, capacitors and other components of the VSG can vary as the temperature and current changes. Consequently the VSG output voltage and power control accuracy using the conventional MPC method may be reduced. In this paper, to improve the parameter robustness of the MPC method, a new weighted predictive capacitor voltage control method is proposed. Through detailed theoretical analysis, the principle of the proposed method to reduce the influence of parameter errors on voltage tracking accuracy is analyzed. Finally, the effectiveness and feasibility of the proposed method are verified by experimental tests using the Typhoon control hardware-in-the-loop experimental platform.