@inproceedings{b4ce7b6204b94c789881783af11f0b41,
title = "MPC Control for Low Power PV System Against Grid Voltage Disturbances",
abstract = "The world is gradually moving towards high proliferation of photovoltaic (PV) panels that would need ancillary services to maintain grid stability and sustainable grid operation. This paper focuses on modelling the PV system for grid voltage instability mitigation. A model predictive control (MPC) technique is chosen owing to its capabilities of handling non-linearity through flexibility and intuitive understanding. Power model predictive control approach, in this research, is chosen for a low power PV system topology and elaborated for low power rating with voltage instability mitigation strategy. The proposed controller technique for the PV system is modelled in the MATLAB environment. Later, the dynamic performance of the PV system is tested over different grid voltage levels. It was found that the PV system together with the proposed MPC-based approach has high capability in handling grid voltage sags and surges. Further, some modifications are suggested and tested to improve current THD metric.",
keywords = "low voltage ride through, model predictive control, photovoltaic, voltage mitigation",
author = "Mukhtar Turarbek and Vijayakumar Gali and Prashant Jamwal",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022 ; Conference date: 01-11-2022 Through 05-11-2022",
year = "2022",
doi = "10.1109/ISGTAsia54193.2022.10003585",
language = "English",
series = "Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "310--314",
booktitle = "Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022",
address = "United States",
}