Voltage Regulation With Electric Taxi Based on Dynamic Game Strategy
In this paper, a battery charging and swapping optimization model is established for electric vehicles (EVs) and battery charging/swapping stations (BCSS). The EVs are categorized into private electric vehicles (PrEVs) and electric taxis (ETs), where the charging behaviors of PrEVs are modeled based on the Monte Carlo (MC) method, and the battery swapping (BS) strategies of ETs are optimized by bi-level dynamic game. Moreover, the voltage deviation of the power grid is considered in the load regulation process of ETs. A “path-location” model is established combining with the Floyd algorithm in the simulation and the IEEE 14-Bus system is used to derive the node voltage. Numerical results show that the proposed strategy can simultaneously increase the revenue of BCSS and ETs and reduce the voltage deviation.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
-
Supplemental Notes:
- Copyright © 2022, IEEE.
-
Authors:
- Ma, Kai
- Hu, Xiaoyan
- Yue, Zhiyuan
- Wang, Yuze
- Yang, Jie
- Zhao, Hui
- Liu, Zhixin
- Publication Date: 2022-3
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 2413-2426
-
Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 71
- Issue Number: 3
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Electric batteries; Electric vehicles; Game theory; Monte Carlo method; Taxicabs; Voltage regulation
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01840137
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 25 2022 12:08PM