An Electric Spring Control Strategy Based on Finite Control Set-Model Predictive Control

Abstract

As a novel voltage control device, electric spring (ES) can effectively suppress the voltage fluctuations across critical loads (CLs), and solve the various problems with electrical quality induced by the grid access of renewable energy resources (RES). However, the traditional controllers for the ES system can no longer meet the control requirements, as the environment is complicated by the growing number of load-side nonlinear loads and uncertain disturbances. To solve the problem, this paper proposes a control system based on finite control set-model predictive control (FCS-MPC), and applies it to the ES. Firstly, a load-side circuit prediction model was established and analyzed. Next, a control system was designed based on FCS-MPC. Finally, the proposed system was proved feasible and effective through MATLAB/Simulink simulation and dSPACE physical experiment. The results show that the proposed FCS-MPC system can directly control the ES, easily handle system constraints, achieve robust dynamic and static performance, eliminating the need for pulse width modulation (PWM).

Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy

“…By using to u es , u ncl , i ncl , e, u S_ref , and S, the u inm_tr can be computed by Equation ( 14) in real time. The u inm_sw can be computed in real-time by Equation (19)…”

“…In addition, the parameter debugging of linear controllers is time-consuming and laborious. Given the increasing number of nonlinear loads and uncertain disturbances, linear controllers of ES systems no longer satisfy the control requirements [19]. To improve the control effect, many researchers have optimized the parameters of traditional linear controllers or have combined linear control with other methods.…”