Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106001
Title: | A scheduling and control system for electric vehicle charging at parking lot | Authors: | Wu, H Pang, GKH Choy, KL Lam, HY |
Issue Date: | 2018 | Source: | 2017 11th Asian Control Conference (ASCC), 17-20 December 2017, Gold Coast, QLD, Australia, p. 13-18 | Abstract: | This paper proposes a new electric vehicle (EV) charging scheduling and control system for a parking lot (PL), which would minimize the PL's electricity cost of recharging all the EVs. This system is to determine an optimal charging schedule for each incoming EV by allocating the electric quantities to the parking time slots of each EV considering the varied electricity price during the day. The schedule would satisfy the EV's charging rate limit and the PL's transformer limit. This paper proposes a heuristics & proportion-based assignment (HPBA) method to generate the initial population, and adapts the particle swarm optimization (PSO) algorithm to solve the optimization problem. The performance of the proposed system is compared with random search (RS), first-in-first-serve (FIFS) and earliest-deadline-first (EDF) mechanisms, and the results show that the new scheduling system would achieve the goal on minimizing the electricity cost and satisfying the charging demands and constraints. | DOI: | 10.1109/ASCC.2017.8287095 | Rights: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication H. Wu, G. K. H. Pang, K. L. Choy and H. Y. Lam, "A scheduling and control system for electric vehicle charging at parking lot," 2017 11th Asian Control Conference (ASCC), Gold Coast, QLD, Australia, 2017, pp. 13-18 is available at https://doi.org/10.1109/ASCC.2017.8287095. |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Choy_Scheduling_Control_System.pdf | Preprint version | 449.27 kB | Adobe PDF | View/Open |
Page views
1
Citations as of May 5, 2024
Downloads
1
Citations as of May 5, 2024
SCOPUSTM
Citations
9
Citations as of Apr 26, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.