NDLI: Game Approaches for Hybrid Power System Planning

Content Provider	IEEE Xplore Digital Library
Author	Shengwei Mei Yingying Wang Feng Liu Xuemin Zhang Zhenquan Sun
Copyright Year	2010
Abstract	Game theory is introduced in this paper to model the planning of a grid-connected hybrid power system comprised of wind turbines, photovoltaic panels, and storage batteries. Both noncooperative and cooperative game-theoretic models (four scenarios in this case) are built by taking wind turbines, photovoltaic panels, and storage batteries as players and their life cycle income as payoffs. Furthermore, the existence of the Nash equilibriums is proved by analyzing the concavity of the payoffs. An iterative solving algorithm is also proposed to obtain the Nash equilibriums of the game model. Then, simulation based on a fictitious hybrid power system illustrates the feasibility of the proposed model. The comparison among all the Nash equilibriums under different coalition forms indicates that the cooperation can bring out more payoffs and competition will lead to the decrease of payoff. A simulation with multiobjective optimization method is also carried out for comparison. Finally, the uncertainties of wind speed, sunlight and load demand are considered to verify the stability of the Nash equilibriums, and sensitivities to some key parameters are also studied on the fictitious hybrid power system.
Starting Page	506
Ending Page	517
Page Count	12
File Size	2112543
File Format	PDF
ISSN	19493029
Volume Number	3
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Wind power generation Generators Games Photovoltaic systems Nash equilibrium wind power Game theory photovoltaic generation storage batteries
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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