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Electric vehicle charging load prediction considering the orderly charging

Authors :
Jiang Tian
Yang Lv
Qi Zhao
Yucheng Gong
Chun Li
Hongen Ding
Yu Yu
Source :
Energy Reports, Vol 8, Iss , Pp 124-134 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

The prediction of the orderly charging load of electric vehicles is of great significance for planning of charging facilities, analysis of bearing capacity of the distribution network and later rectification and reconstruction. This article proposes a method of charging load prediction based on characteristics of EV charging behavior and nonlinear programming. This article uses Monte Carlo algorithm to predict charging probability and disorderly charging load of EVs, and uses non -linear programming algorithm to solve the optimized target function of orderly charging to achieve the prediction of the orderly charging load of EVs in the region.

Details

Language :
English
ISSN :
23524847
Volume :
8
Issue :
124-134
Database :
Directory of Open Access Journals
Journal :
Energy Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.bc44f9656f4c482d934cc02cb6639348
Document Type :
article
Full Text :
https://doi.org/10.1016/j.egyr.2022.10.068