NDLI: Electric vehicle charging schedule considering user's charging selection from economics

Content Provider	IET Digital Library
Author	Chen, Jie Huang, Xiaoqing Tian, Shiming Cao, Yijia Huang, Bicheng Luo, Xiaoyue Yu, Wenlong
Abstract	Electric vehicle (EV) charging will bring new challenges to the coordination of grid and EV load. To facilitate large-scale EV applications, optimal scheduling of EVs has become essential. However, the power grid has no power to force EV users to charge or give up charging. The actual type and mode of user's charging, may deviate from the expectations of grid. When the number of deviation's EV is sufficient, the power grid schedule will not achieve the expected results. In this context, a multi-objective scheduling method considering user's charging selection is proposed to determine the optimal EV charging. The novel contributions of this paper lie in the exploitation of the user's preferences and their criterion of charging selection in form of functions based on concepts from economics. Three types of charging preferences for EV users including radical, conservative and balanced are used to influence the charging cost of EVs and load variance of grid. Finally, the ideal scheduling and actual scheduling are used to simulate various scenarios. The extensive results show that by introducing a method considering the influence of EV user's selection, the efficacy of the proposed scheduling can be further improved.
Starting Page	3388
Ending Page	3396
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 15, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0154
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-04-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actual Scheduling Battery Powered Vehicle Charging Preferences Charging Selection Deviation Distribution Network Electric Vehicle Electric Vehicle Charging Schedule Considering User EV User Ideal Scheduling Large-scale EV Application Multiobjective Scheduling Method Optimal EV Charging Optimal Scheduling Optimisation Optimisation Technique Particle Swarm Optimisation Power Distribution Economics Power Grid Power Grid Schedule Power System Economics Power System Managemen Power System Operation Scheduling Scheduling Model Transportation User Constraint
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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