Journal of Automation and Control
ISSN (Print): 2372-3033 ISSN (Online): 2372-3041 Website: http://www.sciepub.com/journal/automation Editor-in-chief: Santosh Nanda
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Journal of Automation and Control. 2017, 5(1), 16-19
DOI: 10.12691/automation-5-1-3
Open AccessArticle

The Electric Car Charging Strategy Based on the User's Intention and Its Optimization

Lu Mengtian1,

1School of Electrical Engineering and Automation, Nanjing Normal University

Pub. Date: July 04, 2017

Cite this paper:
Lu Mengtian. The Electric Car Charging Strategy Based on the User's Intention and Its Optimization. Journal of Automation and Control. 2017; 5(1):16-19. doi: 10.12691/automation-5-1-3

Abstract

With the influence of electric vehicle technology development and environmental factors, more and more electric cars come into our life, we can expect large electric vehicles will connect to the grid in the future so it is necessary to study the influence of electric vehicle charging on distribution network system. This paper chooses New England 10 machine 39 bus system as an example to study the effect of electric vehicle charging on power grid loss in different permeability. The paper choose charging time and charging demand as constraint conditions, minimizing circuit loss rate as the objective function. The paper select the artificial fish swarm algorithm to optimize the simulation, through the Newton Raphson to calculate the power flow in MATLAB to get the contrasting curves of line loss rate before and after optimization, verify the effectiveness of the optimization model proposed in this paper.

Keywords:
electric vehicle power flow calculation artificial fish swarm algorithm line loss rate

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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