Term of Award
Spring 2019
Degree Name
Master of Science, Electrical Engineering
Document Type and Release Option
Thesis (restricted to Georgia Southern)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Electrical and Computer Engineering
Committee Chair
Rami J. Haddad
Committee Member 1
Adel El Shahat
Committee Member 2
Mohammad Ahad
Abstract
To address the growing problems around the world in climate change and global warming, our dependence on non-renewable and energy sources such as gas, oil, and coal must stop. Our reliance on a non-renewable power grid for electricity at home and work must also be curtailed. Solutions have been proposed, one of which is the utilization of solar systems. However, the solar suffers a few drawbacks from intermittent availability and lack of dispatchability. In this work, we developed a novel rapid dispatchable energy storage system model using autonomous electric vehicles to power residential homes connected to PV Systems. To achieve this, we obtained a real-time hourly irradiance, temperature, and load data for a period of one year. After that, 60 autonomous electric vehicles were scheduled and dispatched daily as an energy storage system to integrate with the PV installed at home. As a result of using this model, the major findings indicate that the level of dependency on the electricity from the grid was significantly reduced using only autonomous electric vehicles as the main energy storage system.
OCLC Number
1182539680
Recommended Citation
Ajao, Qasim Masud, "A Novel Rapid Dispatchable Energy Storage System Model Using Autonomous Electric Vehicles to Reduce Grid Dependency" (2019). Electronic Theses and Dissertations. 1936.
https://digitalcommons.georgiasouthern.edu/etd/1936
Research Data and Supplementary Material
No
