Date of Award
May 2022
Degree Type
Thesis
Degree Name
Master of Science
Department
Engineering
First Advisor
Brian Armstron
Committee Members
Robert D Turney, Deyang Qu
Keywords
Battery, Control, Curtailment, Grid, Model Predictive Control, Photovoltaic
Abstract
Model Predictive Control (MPC) is a control technique that uses prediction data to optimize costs over a given predictive horizon. There are many papers that use this technique to optimize cost in a substantially loaded microgrid, but these techniques are not feasible for utility-scale PV+Storage facility. In this study, MPC is used to optimize the cost for a utility-scale PV+Storage facility, by adding a factor of a possible curtailment. The thesis also presents the various factors that the MPC has in that utility size grid. These factors include line losses, net yield, and curtailment.
Recommended Citation
Chatradi, Sahithi, "Model Predictive Control for Grid Scale PV and Battery" (2022). Theses and Dissertations. 2877.
https://dc.uwm.edu/etd/2877