Application of Model Predictive Control to BESS for Microgrid Control

Energies

Thai-Thanh Nguyen²  Hyeong-Jun Yoo²  Hak-Man Kim¹ 

[1] Department of Electrical Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon 406-840, Korea;

关键词: microgrid;    model predictive control;    predictive power control;    battery energy storage system (BESS);    frequency control;   

DOI  :  10.3390/en8088798

来源: mdpi

【 摘 要 】

Battery energy storage systems (BESSs) have been widely used for microgrid control. Generally, BESS control systems are based on proportional-integral (PI) control techniques with the outer and inner control loops based on PI regulators. Recently, model predictive control (MPC) has attracted attention for application to future energy processing and control systems because it can easily deal with multivariable cases, system constraints, and nonlinearities. This study considers the application of MPC-based BESSs to microgrid control. Two types of MPC are presented in this study: MPC based on predictive power control (PPC) and MPC based on PI control in the outer and predictive current control (PCC) in the inner control loops. In particular, the effective application of MPC for microgrids with multiple BESSs should be considered because of the differences in their control performance. In this study, microgrids with two BESSs based on two MPC techniques are considered as an example. The control performance of the MPC used for the control microgrid is compared to that of the PI control. The proposed control strategy is investigated through simulations using MATLAB/Simulink software. The simulation results show that the response time, power and voltage ripples, and frequency spectrum could be improved significantly by using MPC.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.