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A Game Theory Energy Management Strategy for a Fuel CellBattery Hybrid Energy Storage System
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper introduces a game theory approach to implement power flow distribution mission for a fuel cell/battery hybrid system considering uncertain power information.
To fully describe the vying interaction relationship between the fuel cell and the battery, we design the power distribution problem as a noncooperative game problem, in which the fuel cell and the battery are deemed to be two interactional players, and each one chooses proper amount of power supply to maximize its own optimization function relying on the other chosen.
Different from all previous research work in the published papers, the power demand information of the adopted driving cycle is assumed to be absolutely known.
In this paper, we discuss the case that when the power demand is uncertain how the players act and the Nash Equilibrium can be effectively achieved.
Three original contributions are made.
First, we develop the utility function for each player taking into account the uncertain behavior of the power demand due to inaccurate prediction of driving cycle.
Second, an iterative algorithm with a fuzzy logical controller for correction is proposed to reduce the influence of uncertain power demand information on the decisions of the players.
Finally, the effectiveness is validated by a comparison simulation test.
American Psychological Association (APA)
Zhang, Qiao& Li, Gang. 2019. A Game Theory Energy Management Strategy for a Fuel CellBattery Hybrid Energy Storage System. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1197222
Modern Language Association (MLA)
Zhang, Qiao& Li, Gang. A Game Theory Energy Management Strategy for a Fuel CellBattery Hybrid Energy Storage System. Mathematical Problems in Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1197222
American Medical Association (AMA)
Zhang, Qiao& Li, Gang. A Game Theory Energy Management Strategy for a Fuel CellBattery Hybrid Energy Storage System. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1197222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197222