Title :
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
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);
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345291
