DocumentCode
1980612
Title
Robust power flow control in smart grids with fluctuating effects
Author
Chiu, Wei-Yu ; Sun, Hongjian ; Poor, H. Vincent
Author_Institution
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
fYear
2012
fDate
25-30 March 2012
Firstpage
97
Lastpage
102
Abstract
One of the major issues encountered in smart grids is the unpredictable fluctuation of power supply from renewable energy sources. As an alternative to the energy storage technologies to mitigate these effects, in this paper a robust power flow control scheme is proposed that allows microgrids to function at desired working levels by cooperatively sharing energy with one another. An H∞ design that can maintain the system robustness is considered from the worst-case perspective. The bounded real lemma is employed to transform the power flow control problem into an eigenvalue problem, which is convex and thus can be efficiently solved by existing algorithms. Simulations show that the microgrid energy states can achieve the desired working levels by using the proposed approach even if the fluctuation distributions are unknown. This study provides a power flow control framework in which more complicated systems and practical models of smart grids can be integrated.
Keywords
H∞ control; distributed power generation; eigenvalues and eigenfunctions; embedded systems; energy storage; fluctuations; load flow control; power supplies to apparatus; robust control; smart power grids; H∞ design; eigenvalue problem; energy sharing; energy storage technologies; fluctuation distributions; fluctuation effects; microgrid energy states; renewable energy sources; robust power flow control; smart grids; system robustness; unpredictable power supply fluctuation; worst-case perspective; Eigenvalues and eigenfunctions; Energy states; Energy storage; Linear matrix inequalities; Robustness; Smart grids; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications Workshops (INFOCOM WKSHPS), 2012 IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
978-1-4673-1016-1
Type
conf
DOI
10.1109/INFCOMW.2012.6193527
Filename
6193527
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