Noncooperative Game-Based Distributed Charging Control for Plug-In Electric Vehicles in Distribution Networks
By a News Reporter-Staff News Editor at Computers, Networks & Communications -- Investigators publish new report on Information Technology - Industrial Informatics. According to news reporting originating from Chongqing, People’s Republic of China, by VerticalNews correspondents, research stated, “Increasing penetration of plug-in electric vehicles (PEVs) has a substantial impact on the operation of power distribution networks. Given the fast-growing load demands from PEVs and unmatched infrastructure investment in transformer and feeder capacity, the PEV charging is subjected to both spatially and temporally security constraints beyond which the network failure may occur.”
Financial supporters for this research include National Natural Science Foundation of China, Science and Technology Project of China Southern Power Grid, National Priorities Research Fund, Qatar National Research Fund, National Natural Science Foundation of Chongqing.
Our news editors obtained a quote from the research from Chongqing Normal University, “This paper proposes a game-theory-based distributed charging control method to coordinate large-scale PEVs without compromising the security of the distribution network. Under a noncooperative game framework, a price-driven charging model is designed to minimize the cost of each individual PEV customer while satisfying the network loading constraints. Then, a Newton-type method is developed to find a better Nash equilibrium of the game model at a superlinear convergence rate. Furthermore, an accelerated gradient method is proposed to tackle the subproblem for each user’s best response. The update of the user’s best response is implemented in a distributed way in order to protect user’s privacy. The convergence rate of the proposed algorithms is rigorously proved.”
According to the news editors, the research concluded: “The effectiveness and efficiency of the proposed methods are tested on the IEEE 13-bus system.”
For more information on this research see: Noncooperative Game-Based Distributed Charging Control for Plug-In Electric Vehicles in Distribution Networks. IEEE Transactions on Industrial Informatics , 2018;14(1):301-310. IEEE Transactions on Industrial Informatics can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Transactions on Industrial Informatics - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424)
The news editors report that additional information may be obtained by contacting J.Y. Li, Chongqing Normal Univ, Sch Math, Chongqing 400047, People’s Republic of China. Additional authors for this research include C.J. Li, Y. Xu, Z.Y. Dong, K.P. Wong and T.W. Huang.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TII.2016.2632761. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-02-15), Study Results from Chongqing Normal University Provide New Insights into Industrial Informatics (Noncooperative Game-Based Distributed Charging Control for Plug-In Electric Vehicles in Distribution Networks), Computers, Networks & Communications, 592, ISSN: 1944-1568, BUTTER® ID: 015146769
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