Relieving the pressure of electric vehicle battery charging on distribution transformer via particle swarm optimization method

Author

Yin Yao ; Wenzhong Gao

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA

fYear

2014

fDate

7-9 Sept. 2014

Firstpage

1

Lastpage

5

Abstract

In this paper, a stochastic model of plug-in hybrid electric vehicle (PHEV) is developed in Matlab to investigate its impact on distribution transformer. Two types of PHEVs are included in this model, sedan and SUV. These two types of PHEV share the same charging schedule, but possess different charging characteristics. Charging power, Full-charge time for example. If dumb charging method (V0G) is applied, that will surely result in a load peak in the evening. From the simulation results, it is proven that this scale of load peak will lead to the increase of loss of life (LOL) of distribution transformer. To mitigate the load peak, particle swarm optimization method is performed to reschedule the charging pattern of each PHEV. Eventually, the LOL of distribution transformer is minimized with smoother charging load curve after optimization.

Keywords

electric vehicles; particle swarm optimisation; power transformers; stochastic processes; PHEV; charging load curve; charging power; distribution transformer; dumb charging method; electric vehicle battery charging pressure; full-charge time; loss of life; particle swarm optimization method; plug-in hybrid electric vehicle; stochastic model; Aging; Batteries; Load modeling; Mathematical model; Particle swarm optimization; Stochastic processes; Vehicles; Plug-in hybrid electric vehicle; distribution transformer; loss-of-life; stochastic model;

fLanguage

English

Publisher

ieee

Conference_Titel

North American Power Symposium (NAPS), 2014

Conference_Location

Pullman, WA

Type

conf

DOI

10.1109/NAPS.2014.6965479

Filename

6965479