Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm
With the widespread application of electric vehicles, the constant-power charging method that users can charge immediately makes the charging period of the vehicle coincide with the peak period of regular electricity consumption of the distribution network, which will cause the phenomenon of ”peak-o...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722021096 |
_version_ | 1828063333389959168 |
---|---|
author | Yang Ji Jian Zhang Siwei Li Youjun Deng Yunfei Mu |
author_facet | Yang Ji Jian Zhang Siwei Li Youjun Deng Yunfei Mu |
author_sort | Yang Ji |
collection | DOAJ |
description | With the widespread application of electric vehicles, the constant-power charging method that users can charge immediately makes the charging period of the vehicle coincide with the peak period of regular electricity consumption of the distribution network, which will cause the phenomenon of ”peak-on-peak” of the basic load of the power grid. In this paper, a variable power regulation charging optimization strategy is proposed, which takes the charging power and charging state of the electric vehicle in each period as the optimization variables, and uses the particle swarm algorithm to solve the charging strategy. Taking an office area as an example, the results show that the acceptance capacity is significantly improved when the variable power charging strategy is adopted. |
first_indexed | 2024-04-10T22:41:31Z |
format | Article |
id | doaj.art-451e39887b6d4b109203ad23c01049c9 |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-04-10T22:41:31Z |
publishDate | 2022-11-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-451e39887b6d4b109203ad23c01049c92023-01-16T04:08:37ZengElsevierEnergy Reports2352-48472022-11-018824830Variable power regulation charging strategy for electric vehicles based on particle swarm algorithmYang Ji0Jian Zhang1Siwei Li2Youjun Deng3Yunfei Mu4Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, PR ChinaTianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, PR China; Corresponding author.Beijing Fibrlink Communications Co., LTD., Beijing 100070, PR ChinaTianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, PR ChinaTianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, PR ChinaWith the widespread application of electric vehicles, the constant-power charging method that users can charge immediately makes the charging period of the vehicle coincide with the peak period of regular electricity consumption of the distribution network, which will cause the phenomenon of ”peak-on-peak” of the basic load of the power grid. In this paper, a variable power regulation charging optimization strategy is proposed, which takes the charging power and charging state of the electric vehicle in each period as the optimization variables, and uses the particle swarm algorithm to solve the charging strategy. Taking an office area as an example, the results show that the acceptance capacity is significantly improved when the variable power charging strategy is adopted.http://www.sciencedirect.com/science/article/pii/S2352484722021096Electric vehicleDistribution networkParticle swarm algorithmVariable power regulationCharging strategy |
spellingShingle | Yang Ji Jian Zhang Siwei Li Youjun Deng Yunfei Mu Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm Energy Reports Electric vehicle Distribution network Particle swarm algorithm Variable power regulation Charging strategy |
title | Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm |
title_full | Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm |
title_fullStr | Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm |
title_full_unstemmed | Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm |
title_short | Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm |
title_sort | variable power regulation charging strategy for electric vehicles based on particle swarm algorithm |
topic | Electric vehicle Distribution network Particle swarm algorithm Variable power regulation Charging strategy |
url | http://www.sciencedirect.com/science/article/pii/S2352484722021096 |
work_keys_str_mv | AT yangji variablepowerregulationchargingstrategyforelectricvehiclesbasedonparticleswarmalgorithm AT jianzhang variablepowerregulationchargingstrategyforelectricvehiclesbasedonparticleswarmalgorithm AT siweili variablepowerregulationchargingstrategyforelectricvehiclesbasedonparticleswarmalgorithm AT youjundeng variablepowerregulationchargingstrategyforelectricvehiclesbasedonparticleswarmalgorithm AT yunfeimu variablepowerregulationchargingstrategyforelectricvehiclesbasedonparticleswarmalgorithm |