Date of Award:
Master of Science (MS)
Electrical and Computer Engineering
As electric vehicles (EVs) as well as distributed generation such as rooftop solar become more and more common, the demands on our power grid to supply electricity will grow and change. The upgrades required to keep our power grid functioning would be extremely expensive and so engineers have looked for other ways to accommodate EVs and distributed generation without as many upgrades to the current infrastructure. One way to do this is to use algorithms to intelligently control when charging occurs and thus reduce the peak stress put on the system. In addition to reducing the need for upgraded infrastructure, such an algorithm can reduce charging costs for EV owners by strategically charging during off-hours when electricity prices are lowest. This thesis develops equations and a computer program that simulates intelligent control of EV charging and the use of distributed resources such as solar panels and batteries. These simulations can be used to better understand future power grids and to further develop EV charging algorithms.
Watson, Orion, "Simulation of Energy Management Algorithms for the Future Grid" (2023). All Graduate Theses and Dissertations. 8754.
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