The optimal design of hybrid power generation systems (HPGS) can significantly improve the economical and technical performance of power supply. However, the discrete-time simulation with logical disjunctions involved in HPGS design usually leads to a nonsmooth optimization model, to which well established techniques for smooth nonlinear optimization could not be directly applied. This paper proposes a multistage design optimization problem with complementarity constraints approach for HPGS design, which introduces a complementarity formulation of the nonsmooth logical disjunction, as well as a multistage decomposition framework, to ensure a fast local solution. A numerical study of a stand-alone hybrid photovoltaic (PV)/wind power generation system is presented to demonstrate the effectiveness of the proposed approach.
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ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 15–18, 2010
Montreal, Quebec, Canada
Conference Sponsors:
- Design Engineering Division and Computers in Engineering Division
ISBN:
978-0-7918-4409-0
PROCEEDINGS PAPER
Hybrid Power/Energy Generation System Design Through Multistage Design Optimization Problem With Complementarity Constraints
Shen Lu,
Shen Lu
University of Illinois at Urbana-Champaign, Urbana, IL
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Nathan B. Schroeder,
Nathan B. Schroeder
University of Illinois at Urbana-Champaign, Urbana, IL
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Harrison M. Kim
Harrison M. Kim
University of Illinois at Urbana-Champaign, Urbana, IL
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Shen Lu
University of Illinois at Urbana-Champaign, Urbana, IL
Nathan B. Schroeder
University of Illinois at Urbana-Champaign, Urbana, IL
Harrison M. Kim
University of Illinois at Urbana-Champaign, Urbana, IL
Paper No:
DETC2010-28362, pp. 633-645; 13 pages
Published Online:
March 8, 2011
Citation
Lu, S, Schroeder, NB, & Kim, HM. "Hybrid Power/Energy Generation System Design Through Multistage Design Optimization Problem With Complementarity Constraints." Proceedings of the ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 36th Design Automation Conference, Parts A and B. Montreal, Quebec, Canada. August 15–18, 2010. pp. 633-645. ASME. https://doi.org/10.1115/DETC2010-28362
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