Date of Award
Open Access Dissertation
This thesis provides a comprehensive overview and analysis of the benefits of using plug-in electric vehicles (PEVs) in solving the unit commitment problem. PEVs are becoming more attractive and a rapid replacement of conventional fuel vehicles due to their environmental-friendly operation. Through collective control by an aggregator, PEVs batteries can also provide ancillary services such as load leveling and frequency regulation to improve the quality of power supplied in the power grid and reduce the cost of power generation. This study presents the modeling, simulation, and analysis of a vehicle-to-grid (V2G) system connected to a smart power grid. The model considers different penetration levels of PEVs in a system and investigates the economic and technical effects of using PEVs to support the grid. The model is tested using an IEEE 24 bus network to verify the effects that PEVs penetration has on generation cost in power systems. A comparison has been made between a system without V2G and a system with V2G to produce justification for the role that V2G can play in solving the unit commitment problem. The results of this study show that the optimal scheduling of PEVs was effective in flattening the load profile through valley filling and peak load reduction.
Uko, C.(2020). Optimization of Vehicle to Grid System in a Power System With Unit Commitment. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/5964