Location-based forecasting of vehicular charging load on the distribution system

Author

Ghiasnezhad, Nima ; Filizadeh, Shaahin

Author_Institution

Electr. Eng., Univ. of Manitoba, Winnipeg, MB, Canada

fYear

2014

fDate

27-31 July 2014

Firstpage

1

Lastpage

1

Abstract

Summary form only given. This paper presents a procedure for location-based forecasting of the potential vehicular charging load at off-home charging stations. A location-specific fuzzy decision making system is proposed to characterize the charging behavior and determine the probability of charging by means of a three dimensional input obtained from a real-world driving dataset. The obtained charging and parking probability figures are then used in prediction of the local aggregated charging demand. The flexibility and usefulness of the developed procedure is exemplified in the case studies of two major shopping centers.

Keywords

decision making; distribution networks; electric vehicles; fuzzy set theory; probability; charging behavior; charging probability figure; distribution system; local aggregated charging demand prediction; location-based forecasting; location-specific fuzzy decision making system; off-home charging stations; parking probability figure; potential vehicular charging load; shopping centers; Charging stations; Decision making; Educational institutions; Forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

PES General Meeting | Conference & Exposition, 2014 IEEE

Conference_Location

National Harbor, MD

Type

conf

DOI

10.1109/PESGM.2014.6938958

Filename

6938958