Date of Graduation
Master of Science in Electrical Engineering (MSEE)
Second Committee Member
This thesis presents the overall power flow and load management system for a 2 kW residential power router. The objective is to satisfy the residential load demand with cost savings by managing the energy sources including PV, battery, generator, and grid. The power flow management system algorithm is developed both for grid-connected mode and island mode. This algorithm involves the battery state of charge estimation, available PV power, load demand and electricity grid pricing. The residential load management algorithm is also developed using PV power prediction and load power prediction acquired for a day.¬ A Labview GUI is also developed for this load management.
Hossain, F. (2014). Design of System Level Control for a Residential Power Router. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/2027