{"title":"Network congestion games with player failures for charging problem of EVs via matrix approach","authors":"Shuqi Liu, Lijun Ma, Jinhuan Wang","doi":"10.1002/asjc.3552","DOIUrl":null,"url":null,"abstract":"<p>With the increasing popularity of electric vehicles (EVs), the congestion problem encountered during EV charging has become a new challenge that needs to be addressed. In this paper, the congestion problem of EV charging is investigated within the framework of network congestion games. It takes into account congestion during both travelling and charging stages. Initially, for the scenario where no player fails, the EV charging problem is modeled as a network congestion game, which is proven to be a potential game. Secondly, two types of games with player failures are considered. The game with player failures on roads is verified a weighted potential game, drawing support from the semi-tensor product (STP) of matrices. The game in which players only fail at charging stations, rather than on roads, is not a (weighted) potential game but admits at least one Nash equilibrium (NE). Thirdly, the effect of player failures on NEs is discussed, and the condition that keeps the NE of the original game unchanged is provided. Finally, the theoretical results are validated through examples.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 4","pages":"1889-1901"},"PeriodicalIF":2.7000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asjc.3552","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
With the increasing popularity of electric vehicles (EVs), the congestion problem encountered during EV charging has become a new challenge that needs to be addressed. In this paper, the congestion problem of EV charging is investigated within the framework of network congestion games. It takes into account congestion during both travelling and charging stages. Initially, for the scenario where no player fails, the EV charging problem is modeled as a network congestion game, which is proven to be a potential game. Secondly, two types of games with player failures are considered. The game with player failures on roads is verified a weighted potential game, drawing support from the semi-tensor product (STP) of matrices. The game in which players only fail at charging stations, rather than on roads, is not a (weighted) potential game but admits at least one Nash equilibrium (NE). Thirdly, the effect of player failures on NEs is discussed, and the condition that keeps the NE of the original game unchanged is provided. Finally, the theoretical results are validated through examples.
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.