1 AIT Asian Institute of Technology

Optimal placement of vehicle-to-grid charging station in distribution system using particle swarm optimization with time varying acceleration coefficients

AuthorJukkrapun Prasomtong
Call NumberAIT Thesis no.ET-14-03
Subject(s)Electric vehicles--Batteries
Battery charging stations (Electric vehicles)

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy
PublisherAsian Institute of Technology
AbstractThis thesis proposes optimal placement of vehicle to grid (V2G) charging station in the distribution system by using Particle Swarm Optimization with time varying coefficients (PSO - TVAC). While Electric Vehicles (EVs) will be additional load to the distribution system, utilities can use V2G to maximize total benefit including peak power providing, reliability improvement, and power loss reduction within system operating constraints. Charging stations are simulated as loads when they are charging EVs and as distributed generation when they are discharging to the grid. The optimal placement of V2G charging stations and sizes are determined at peak period. Test results on the nine bus test system and the actual thirty - five bus PEA distribution system render a higher total benefit than GA, Basic PSO, and PSO - TVIW. Accordingly, utilities can plan to optimally install V2G charging station to reduce peak demand, improve reliability through additional source, and energy loss reduction.
Year2014
TypeThesis
SchoolSchool of Environment, Resources, and Development (SERD)
DepartmentDepartment of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC))
Academic Program/FoSEnergy Technology (ET)
Chairperson(s)Weerakorn Ongsakul
Examination Committee(s)Singh, Jai Govind;Dhakal, Shobhakar;
Scholarship Donor(s)PEA;Asian Institute of Technology Education Cooperation Project;Asian Institute of Technology Fellowship;
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2014


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