Date of Award
Spring 2024
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2024
Degree Name
Master of Science (MS)
Department
Electrical and Computer Engineering
First Advisor
Maryam Khanbaghi
Abstract
Opportunities for residential microgrids that can be disconnected from the main grid are becoming ever more prevalent with the usage of solar power and energy storage systems. With this possibility comes the requirement of controlling and managing such systems. This thesis presents a novel multi-battery model designed to optimize the performance of a residential energy system comprising an electric vehicle (EV), a stationary battery, and solar panels, regulated by Linear Quadratic Regulator (LQR) control. The proposed model extends the kinetic battery model to account for the interaction between two connected batteries. The research departs from economic optimization, instead focusing on the performance of the batteries in relation to their state of charge (SOC). Simulation results demonstrate the feasibility of the model in maintaining minimum power delivery to the residential load and EV, even under varying solar input and load demand scenarios. The findings suggest potential applications in larger-scale systems, with recommendations for incorporating first-passage time theory and tracking realistic load profiles to further improve performance.
Recommended Citation
Brumbaugh, Sofia, "Multi-Battery Model for Optimal Performance and LQR Regulation" (2024). Electrical and Computer Engineering Master's Theses. 8.
https://scholarcommons.scu.edu/elec_mstr/8
