Locational Price Driven Electric Bus Fleet Operation and Charging Demand Management

被引：1

作者：

Shu, Jun ^{[1
]}

Chen, Shanyu ^{[1
]}

Ding, Zhaohao ^{[1
]}

机构：

[1] North China Elect Power Univ, Dept Elect & Elect Engn, Beijing, Peoples R China

来源：

2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021) | 2021年

基金：

中国国家自然科学基金;

关键词：

demand response; electric bus; charging scheduling; route assignments; locational price;

D O I：

10.1109/ICPSAsia52756.2021.9621397

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper studies the route assignments and charging scheduling of electric bus fleet under centralized control. Specifically, we optimize the charging scheduling decisions for the electric bus fleet to minimize the daily scheduling cost which includes the deadheading travel cost and charging cost. The charging cost is characterized by a time-varying locational pricing scheme. A mixed integer linear programing (MILP) model is formulated to efficiently solve the proposed fleet management and charging scheduling problem. Also, we provide a numerical case study based a real-world dataset to illustrate the effectiveness of the proposed model.

引用

页码：409 / 413

页数：5

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