基于微电网与热电联产系统的电动汽车能量优化调度

doi:10.11772/j.issn.1001-9081.2019040619

计算机应用 ›› 0, Vol. ›› Issue (): 3376-3382.DOI: 10.11772/j.issn.1001-9081.2019040619

• 应用前沿、交叉与综合 • 上一篇

基于微电网与热电联产系统的电动汽车能量优化调度

曹永胜, 吴长乐

上海优电宝信息科技有限公司, 上海 200120

收稿日期:2019-04-15 修回日期:2019-06-24 发布日期:2019-08-21 出版日期:2019-11-10
通讯作者: 曹永胜
作者简介:曹永胜(1991-),男,江苏靖江人,博士,主要研究方向:智能电网、电动汽车的能量管理和任务调度;吴长乐(1991-),男,山东菏泽人,硕士,主要研究方向:电动汽车能量管理和任务调度。
基金资助:
中央高校基本科研业务费专项资金资助项目（18D310403）；上海市科技创新基金资助项目（18DZ1200500）。

Optimal energy scheduling of electric vehicles based on smart grid and combined heat and power system

CAO Yongsheng, WU Changle

Shanghai YouDianBao Information Technology Company Limited, Shanghai 200120, China

Received:2019-04-15 Revised:2019-06-24 Online:2019-08-21 Published:2019-11-10
Supported by:
This work is partially supported by the Fundamental Research Funds for the Central Universities (18D310403), the Shanghai Science and Technology Innovation Fund (18DZ1200500).

摘要/Abstract

摘要： 电动汽车作为一种移动型分布式能源存储装置越来越多地涌入智能微电网中。为了减少含电动汽车的微电网的系统成本，基于李雅普诺夫优化方法提出一种在线的能量调度算法。首先，建立一个含有电动汽车、热电联产（CHP）装置、可再生能源收集装置的微电网系统，通过考虑电动汽车的移动性、电池损耗、外部电网的实时电价和用户需求等因素设计一个系统长时间平均成本最小化问题，其中用户需求包括电力需求和热能需求。然后，使用李雅普诺夫优化方法对问题进行求解，提出一个在线能量调度算法。最后，通过Matlab对算法进行数值仿真，结果表明当系统内电动汽车数量超过60辆时，所提算法比贪婪算法最大可以降低61.79%的系统成本。

关键词: 电动汽车, 微电网, 能量调度, 在线算法

Abstract: Electric vehicles are increasingly flooding into smart microgrid as a kind of mobile distributed energy storage device. To reduce the system cost of the smart microgrid that includes electric vehicles, an online energy scheduling algorithm was proposed by using Lyapunov optimization method. Firstly, a microgrid system with electric vehicles, Combined Heat and Power (CHP) devices and renewable energy source collection devices was constructed. The long-term average cost minimization problem was formulated by considering the mobility and battery loss of electric vehicles, the real-time electricity price of the external power grid and the user demand, which combined electricity demand and heat demand. Then, an online energy scheduling algorithm was proposed by utilizing Lyapunov optimization method to solve the problem. Finally, simulation results on Matlab show that the system cost of the proposed algorithm can reduce 61.79% compared with greedy algorithm when the number of electric vehicles is more than 60.

Key words: electric vehicle, microgrid, energy scheduling, online algorithm

中图分类号:

U469.72

曹永胜, 吴长乐. 基于微电网与热电联产系统的电动汽车能量优化调度[J]. 计算机应用, 0, (): 3376-3382.

CAO Yongsheng, WU Changle. Optimal energy scheduling of electric vehicles based on smart grid and combined heat and power system[J]. Journal of Computer Applications, 0, (): 3376-3382.

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基于微电网与热电联产系统的电动汽车能量优化调度

Optimal energy scheduling of electric vehicles based on smart grid and combined heat and power system

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