Work

Power oscillation suppression of multi-VSG based on both consensus and model predictive control

Year: 2023

Type: article

Abstract: Under the circumstances of multi-VSG, virtual synchronous generator (VSG) control is liable to produce active power oscillation due to the absence of mutual damping, which may lead the power fluctuations more acute that may in turn cause instability problems. This study concentrates on the analysis of power fluctuations and the optimization of mutual damping within multi-VSG systems. By developing a predictive model for VSG, a mutual damping control strategy, which incorporates both Model Predictive Control (MPC) and a consensus algorithm, is proposed. The proposed method primarily employs the MPC model of VSG to calculate the increments active power for system interaction. Subsequently, a consensus algorithm is utilized to exchange the increments active power, which is then superimposed on each VSG to enhance the mutual damping. The stability of both the MPC and the proposed mutual damping control method is ensured using the Lyapunov stability criterion. Furthermore, a gain adjustment function is employed to accelerate convergence of the algorithm and maintain stability even under non-ideal communication. The effectiveness of the theoretical analysis and the proposed method is demonstrated through simulations.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2023.109459

Authors: Jican Lin, Shenquan Liu, Meijun Tian, Min Huang, Gang Wang

Institution: South China University of Technology

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

Estimated APC paid: $2,800