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考虑新能源就地消纳的综合园区电动汽车时空优化调度

刘俊峰 李国璋 曾婧瑶 赵紫昱 曾君

控制理论与应用2025,Vol.42Issue(7):1345-1355,11.
控制理论与应用2025,Vol.42Issue(7):1345-1355,11.DOI:10.7641/CTA.2024.30605

考虑新能源就地消纳的综合园区电动汽车时空优化调度

Optimized spatial and temporal scheduling of electric vehicles in comprehensive park considering local consumption of new energy sources

刘俊峰 1李国璋 1曾婧瑶 1赵紫昱 2曾君2

作者信息

  • 1. 华南理工大学自动化科学与工程学院,广东 广州 510640
  • 2. 华南理工大学电力学院,广东 广州 510640
  • 折叠

摘要

Abstract

Electric vehicle(EV)with large-scale disordered charging is equivalent to disordered power load in time and space,which may cause local overload,line congestion and other problems,and bring great impact on the operation of the power grid.In this paper,the space-time optimal scheduling of electric vehicles is taken as the research goal,and a two-layer optimal scheduling model with space dimension and time dimension is established.In the space dimension,the optimal charging station is assigned for electric vehicles with the goal of the shortest comprehensive waiting time;In terms of time dimension,the Stackelberg game model between the comprehensive park management system(CPMS)and active EV is established under the premise of fully considering the local consumption of new energy to reduce the charging cost of electric vehicles,minimize the interaction cost of CPMS and maintain the power balance of the entire comprehensive park,so as to complete the space-time optimal scheduling of electric vehicles.Finally,an example is given to verify the effectiveness of the proposed optimal scheduling strategy.

关键词

电动汽车/时空优化调度/主从博弈/新能源消纳

Key words

electric vehicles/space-time optimal scheduling/stackelberg game/new energy consumption

引用本文复制引用

刘俊峰,李国璋,曾婧瑶,赵紫昱,曾君..考虑新能源就地消纳的综合园区电动汽车时空优化调度[J].控制理论与应用,2025,42(7):1345-1355,11.

基金项目

国家自然科学基金项目(62173148,52377186),广东省自然科学基金项目(2022A1515010150,2023A1515010184),现代交通节能控制和智能运维技术联合实验室资助.Supported by the National Natural Science Foundation of China(62173148,52377186),the Natural Science Foundation of Guangdong Province(2022A1515010150,2023A1515010184)and the Joint Laboratory of Energy Saving and Intelligent Maintenance for Modern Transportations. (62173148,52377186)

控制理论与应用

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