Intelligent Energy Management of Electric Vehicles in Distribution Systems
Translated title
Author
Term
4. term
Education
Publication year
2012
Submitted on
2012-05-31
Pages
76
Abstract
In this short master thesis an optimal charging and discharging algorithm for Electric Vehicles and a later verification of the results in a distribution system are presented. A first algorithm without EVs is run to determine the ordinary cost and the normal loading conditions of the distribution system. The second algorithm includes the electric vehicles and minimises the total cost of the system attending to economic criteria. Both algorithms were programmed using GAMS software. Three different caseswere created and three hourly prices from different days were used along the project for running all the simulations. Optimal 24 hours charging and discharging plans are obtained respecting all the technical constraints from the EVs. These results are later validated in DIgSILENT PowerFactory using four different EVs distribution to check the technical constraints of the system. An economic analysis is also performed to determine if the system cost is reduced by the intelligent management of the energy and the use of the V2G technology.
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