Electric bus fast charging station resource planning considering load aggregation and renewable integration

被引:25
|
作者
Cheng, Yu [1 ]
Wang, Wang [1 ]
Ding, Zhaohao [2 ]
He, Zhiyao [1 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, 2 Beinong Rd, Beijing, Peoples R China
[2] North China Elect Power Univ, Acad Modern Elect Power Res, 2 Beinong Rd, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
decision making; optimisation; power generation planning; investment; distributed power generation; power generation reliability; battery powered vehicles; electric vehicles; power grids; resource planning model; electric bus; station resource; load aggregation; renewable integration; public transportation sector; integrated planning charging infrastructure; emerging technologies; distributed renewable generation; energy storage system; integrated resource planning framework; planning investment cost; operational cost; aggregation strategy; charging decisions; operation efficiency; scenario-based chance-constrained programming approach; ENERGY; VEHICLE; SERVICE;
D O I
10.1049/iet-rpg.2018.5863
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the progress of electrification for the public transportation sector is accelerated, it becomes more and more important to integrated planning charging infrastructure for public transportation, while emerging technologies such as distributed renewable generation and energy storage system should be accounted. Here, an integrated resource planning framework is proposed where both planning investment cost and operational cost are considered. An aggregation strategy is also proposed to optimise the charging decisions for electric bus on different routes, which could effectively improve the planning and operation efficiency. To address the uncertainties involved in this process, a scenario-based chance-constrained programming approach is adopted. A numerical case study is also included to demonstrate the effectiveness of this proposed resource planning model.
引用
收藏
页码:1132 / 1141
页数:10
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