@inproceedings{e5782e60eac0466bafd9f60638fc0494,
title = "Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power",
abstract = "This paper proposes a model predictive-based control scheme for photovoltaic systems mainly to improve power quality indices in inverter-based smart grids. The proposed control scheme compensates for both reactive power consumption and the harmonics generated by nonlinear loads. It utilizes the Finite Control Set Model Predictive Control (FCS-MPC) for controlling inverters' output currents in the αβ reference frame. In addition, the finite-horizon Model Predictive Control (MPC) is utilized for controlling the DC link voltage.The performance of the proposed method is evaluated using Matlab/Simulink and the simulation results demonstrate the advantages of the proposed control strategy in reducing undesirable harmonics and reactive power compensation.",
keywords = "Finite set model predictive control, harmonics, power quality, predictive control",
author = "Mario Useche and Hamidi, {Reza Jalilzadeh} and Alejandro Garces",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE SoutheastCon, SoutheastCon 2023 ; Conference date: 01-04-2023 Through 16-04-2023",
year = "2023",
doi = "10.1109/SoutheastCon51012.2023.10115086",
language = "English",
series = "Conference Proceedings - IEEE SOUTHEASTCON",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "17--22",
booktitle = "SoutheastCon 2023",
address = "United States",
}
