The power maximizing grid-based wind farm layout optimization problem seeks to determine the layout of a given number of turbines from a grid of possible locations such that wind farm power output is maximized. The problem in general is a nonlinear discrete optimization problem which cannot be solved to optimality, so heuristics must be used. This article proposes a new two stage heuristic that first finds a layout that minimizes the maximum pairwise power loss between any pair of turbines. The initial layout is then changed one turbine at a time to decrease sum of pairwise power losses. The proposed heuristic is compared to the greedy algorithm using real world data collected from a site in Iowa. The results suggest that the proposed heuristic produces layouts with slightly higher power output, but are less robust to changes in the dominant wind direction.
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ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 6–9, 2017
Cleveland, Ohio, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5812-7
PROCEEDINGS PAPER
Two Stage Mini-Max Algorithm for Grid-Based Wind Farm Layout Optimization
Ning Quan,
Ning Quan
University of Illinois at Urbana-Champaign, Urbana, IL
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Harrison Kim
Harrison Kim
University of Illinois at Urbana-Champaign, Urbana, IL
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Ning Quan
University of Illinois at Urbana-Champaign, Urbana, IL
Harrison Kim
University of Illinois at Urbana-Champaign, Urbana, IL
Paper No:
DETC2017-67535, V02AT03A023; 8 pages
Published Online:
November 3, 2017
Citation
Quan, N, & Kim, H. "Two Stage Mini-Max Algorithm for Grid-Based Wind Farm Layout Optimization." Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2A: 43rd Design Automation Conference. Cleveland, Ohio, USA. August 6–9, 2017. V02AT03A023. ASME. https://doi.org/10.1115/DETC2017-67535
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