Optimum allocation of parking lots in distribution systems for loss reduction

Author

Moradijoz, M. ; Moghaddam, M.P.

Author_Institution

Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran

fYear

2012

fDate

22-26 July 2012

Firstpage

1

Lastpage

5

Abstract

Plug-in-hybrid electric vehicles (PHEVs), are becoming more popular. The batteries of these plug-in-hybrid electric vehicles can act as storage and participate in various electricity markets. In this paper, optimal allocation of parking lots providing vehicle-to-grid (V2G) power for loss reduction is studied. The objective function containing active and reactive power indices is minimized using genetic algorithm. Power flow is done utilizing backward-forward sweep method. Finally, simulation is carried out on a 30 bus test system. Also, the effect of variation both in the number of vehicles in parking lot and the battery charge rate on the simulation results is investigated.

Keywords

battery chargers; battery powered vehicles; distribution networks; genetic algorithms; hybrid electric vehicles; load flow; losses; power grids; reactive power; 30 bus test system; PHEV; V2G power; active power index; backward-forward sweep method; battery charge rate; distribution system; electricity market; genetic algorithm; loss reduction; optimum allocation; parking lot; plug-in-hybrid electric vehicle; power flow; reactive power index; vehicle-to-grid power; Batteries; Biological cells; Educational institutions; Electric vehicles; Genetic algorithms; Linear programming; Distribution system; genetic algorithm (GA); loss reduction; parking lot allocation; vehicle-to-grid (V2G);

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2012 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4673-2727-5

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PESGM.2012.6345291

Filename

6345291