This paper proposes a mixed integer linear programming formulation of the unrestricted wind farm layout optimization problem. The formulation is achieved in part by changing the objective from power generation maximization to the maximization of the smallest penalized downstream distance between any pair of turbines, where downstream distance is defined as the distance between any pair of turbines with overlapping wake cones. The proposed formulation also linearizes other non-linear characteristics of the unrestricted layout optimization problem such as proximity constraints and wake-cone membership. The main advantage of the proposed approach is that an optimal solution to the proposed formulation is guaranteed to be globally optimal. This is in contrast to previous approaches with non-linear formulations that do not come with such guarantees.
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ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 2–5, 2015
Boston, Massachusetts, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5707-6
PROCEEDINGS PAPER
A Mixed Integer Linear Programming Formulation for Unrestricted 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:
DETC2015-46876, V02AT03A028; 8 pages
Published Online:
January 19, 2016
Citation
Quan, N, & Kim, H. "A Mixed Integer Linear Programming Formulation for Unrestricted Wind Farm Layout Optimization." Proceedings of the ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2A: 41st Design Automation Conference. Boston, Massachusetts, USA. August 2–5, 2015. V02AT03A028. ASME. https://doi.org/10.1115/DETC2015-46876
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