Research on Optimal Scheduling Model of Direct Supply Electric Vehicle Charging Station of Distributed Photovoltaic Power Station

Linjing Yan, Nan Wang, Xiangming Kong*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Distributed photovoltaic power generation is an effective way to use renewable energy, direct electric vehicle charging not only alleviates the pressure of the State Grid under the current situation of the popularization of new energy vehicles, but also avoids the energy loss caused by transit, so it has become a real-time energy production and marketing mode. According to the characteristics and laws of distributed photovoltaic power generation, this paper studies the optimal scheduling of direct supply electric vehicles. On the premise of ensuring normal operation, according to the actual operation situation, taking the operation cost of electric vehicle charging station as the objective function, the optimal scheduling mathematical model of electric vehicle charging station directly supplied by distributed photovoltaic power station is established. Combined with the idea of integration, the method and steps of using genetic algorithm to solve real-time adjustment scheduling are designed, the problem of real-time distribution scheme of electric vehicle charging station directly supplied by distributed photovoltaic power station is reasonably solved. This algorithm is simple and easy to implement, and has good scalability. It is suitable for rapid migration and has strong practicability. It provides theoretical basis and technical support for the operation of distributed photovoltaic charging stations in cities.

Original languageEnglish
Title of host publicationProceedings of 2022 7th International Conference on Environmental Engineering and Sustainable Development (CEESD 2022)
EditorsGordon Huang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages107-116
Number of pages10
ISBN (Print)9783031281921
DOIs
Publication statusPublished - 2023
Externally publishedYes
EventProceedings of 2022 7th International Conference on Environmental Engineering and Sustainable Development (CEESD 2022) - Nanjing, China
Duration: 28 Oct 202230 Oct 2022

Publication series

NameEnvironmental Science and Engineering
ISSN (Print)1863-5520
ISSN (Electronic)1863-5539

Conference

ConferenceProceedings of 2022 7th International Conference on Environmental Engineering and Sustainable Development (CEESD 2022)
Country/TerritoryChina
CityNanjing
Period28/10/2230/10/22

Keywords

  • Distributed photovoltaic power station
  • Genetic algorithm
  • Scheduling model

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