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电动汽车最优充电模型及其近似求解方法

张新松 顾菊平 袁越 王敏 郭晓丽 王建平

中国电机工程学报Issue(19):3148-3155,8.
中国电机工程学报Issue(19):3148-3155,8.DOI:10.13334/j.0258-8013.pcsee.2014.19.014

电动汽车最优充电模型及其近似求解方法

Optimum Electric Vehicle Charging Model and Its Approximate Solving Technique

张新松 1顾菊平 1袁越 2王敏 2郭晓丽 1王建平1

作者信息

  • 1. 南通大学电气工程学院,江苏省 南通市 226019
  • 2. 河海大学能源与电气学院,江苏省 南京市 210098
  • 折叠

摘要

Abstract

To optimize electric vehicle (EV) charging schedule and minimize charging costs, a formulation was presented on the basis of unit commitment (UC) results. An approximate algorithm based on minimum marginal cost was proposed to solve the formulation. Hourly marginal generation cost was calculated based on the UC results, and EVs were dispatched to be charged over the period with the minimum average marginal generation costs in priority. If present committed units failed to charge all EVs, extra units should be started for charging EVs in ascending order of unit average full-load cost (AFLC) for minimizing extra generation costs due to the newly started unit. The process described above was repeated until all EVs were scheduled. Simulation results validate the proposed methodology. The simulation results demonstrate that EV average charging cost increases with EV penetration level and the charging cost of fast charging mode is minimum.

关键词

机组组合/电动汽车/边际成本/电动汽车渗透率/充电模式

Key words

unit commitment (UC)/electric vehicle (EV)/marginal cost/electric vehicles penetration level/charging model

分类

信息技术与安全科学

引用本文复制引用

张新松,顾菊平,袁越,王敏,郭晓丽,王建平..电动汽车最优充电模型及其近似求解方法[J].中国电机工程学报,2014,(19):3148-3155,8.

基金项目

国家自然科学基金项目(51207075,61273024)。Project Supported by National Natural Science Foundation of China (51207075,61273024) (51207075,61273024)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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