Optimal coordinated operation scheduling for electric vehicle aggregator and charging stations in an integrated electricity-transportation system

被引:68
作者
Ding, Zhaohao [1 ]
Lu, Ying [1 ]
Lai, Kexing [2 ]
Yang, Ming [3 ]
Lee, Wei-Jen [4 ]
机构
[1] North China Elect Power Univ, Acad Modern Elect Power Res, Beijing 102206, Peoples R China
[2] Kansas State Univ, Dept Elect & Comp Engn, Manhattan, KS 66506 USA
[3] Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Peoples R China
[4] Univ Texas Arlington, Energy Syst Res Ctr, Arlington, TX 76019 USA
基金
中国国家自然科学基金;
关键词
Marginal price based co-ordination optimization; Electricity-transportation integration; Electric vehicle charging management; Mixed integer linear programming; Non-cooperation; Temporal-spatial optimization; POWER; ENERGY; OPTIMIZATION; STRATEGY; NETWORK; SELECTION; STORAGE; MODEL;
D O I
10.1016/j.ijepes.2020.106040
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The interdependences between electric power systems and transportation systems are becoming increasingly tight as the market share of electric vehicles keeps booming. Therefore, improving the operation performance of power system and transportation system as an integrated system becomes a critical issue. This paper investigates the coordination between electric vehicle charging stations and electric vehicles assuming they are managed by non-cooperative stakeholders. The operation strategies of electric vehicle charging stations can be optimized by solving a mixed integer linear optimization model while an integer optimization model offers the optimal operation strategy of electric vehicles considering travel route selections. A method for coordinating electric vehicle charging stations and an electric vehicle aggregator without exchanging or sharing private information is proposed. A marginal price based co-ordination model is used for representing the gameplay between two non-cooperative stakeholders. The proposed formulation uses charging pricing policy as an effective tool to coordinate electric vehicle charging stations and electric vehicles, considering travel route selections of electric vehicles. We propose an iterative algorithm for obtaining the optimal solution of proposed marginal price based co-ordination model. A numerical case is provided to validate the merits of proposed model, as a 78.3% total cost reduction can be achieved by adopting the proposed model, comparing to three intuitive approaches.
引用
收藏
页数:11
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