Date of Award
1-23-2026
Document Type
Thesis
Degree Name
Engineering, MSE
First Advisor
Mahmudul Hasan
Committee Members
Ehsan Naderi; Robert "Drew" Fleming
Abstract
This thesis presents the modeling and control of a photovoltaic (PV)-based DC microgrid using MATLAB/Simulink. A DC–DC converter with a buck stage is employed to perform a better maximum power point tracking (MPPT) and voltage regulation from PV panel. Predictive control method (MPC) algorithm will be employed, which offers faster transient response and reduced oscillations compared to traditional techniques. Considering the existing works, this study introduces an additional RL filter branch to further improve the stability of the regulated DC bus voltage combining MPC method and Incremental Conductance Maximum Power Point Tracking (IC-MPPT) algorithm. To ensure stable operation of the DC–DC buck converter in the photovoltaic system, a cascaded Proportional–Integral (PI) control structure is adopted. PI controller helps the system to adjust the duty ratio for the MOSFET gate mainly. The proposed system is evaluated under different load and irradiance conditions. Simulation results show that the model minimizes ripples and improves voltage regulation while maintaining MPPT. The findings demonstrate that combining MPC with an optimized filtering strategy can improve the performance and stability of PV-based microgrids for renewable energy integration.
Rights Management
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Suleymanov, Yagub, "Advanced Control Strategy for Photovoltaic DC Microgrids Using Model Predictive Control with RL Filter Enhancement" (2026). Student Theses and Dissertations. 1147.
https://arch.astate.edu/all-etd/1147
