Model Predictive Control of DC/DC Converter and Grid AC/DC Converter with LCL Filter for Bidirectional EV Charger Application

Brafianto, Dary Rafi and Ir. Wijono, M.T., Ph.D and Dr. Tri Nurwati, ST., MT and Prof. Cheng-I Chen (2023) Model Predictive Control of DC/DC Converter and Grid AC/DC Converter with LCL Filter for Bidirectional EV Charger Application. Magister thesis, Universitas Brawijaya.

English Abstract

Bidirectional EV chargers offer several benefits to the grid, including real power support, meeting load demand by supplying power, receiving power during low grid loads, compensating for harmonics in grid current, and reducing uncertainties in generating renewable energy sources. However, bidirectional chargers can introduce harmful harmonics to the grid, leading to poor power quality, decreased efficiency, and instability. Therefore, effective control strategies are essential for bidirectional EV chargers. This thesis presents a finite control set model predictive control (MPC) for bidirectional EV chargers. The proposed method consists of MPC to control DC/DC converter and MPC to control AC/DC converter with an LCL filter. The simulation results under steady-state performance, dynamic-state performance, and robustness analysis are presented using MATLAB/Simulink. The results show that the proposed MPC method can achieve good steady-state performance, fast transient response, and robustness against grid inductance changes compared with the conventional PI control method. Furthermore, the validity of the simulation results is verified through real-life experimentation in a real-time simulation testing environment with OPAL-RT

Item Type:	Thesis (Magister)
Identification Number:	042307
Uncontrolled Keywords:	Bidirectional EV charger, finite control set model predictive control, power quality, dynamic response, steady-state performance, real-time simulation.
Divisions:	S2/S3 > Magister Teknik Elektro, Fakultas Teknik
Depositing User:	Unnamed user with username tunjungsari
Date Deposited:	17 Jan 2024 08:00
Last Modified:	17 Jan 2024 08:00
URI:	http://repository.ub.ac.id/id/eprint/211618

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