A mixed integer linear programming formulation for unrestricted wind farm layout optimization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication41st Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume2A-2015
ISBN (Electronic)9780791857076
DOIs
StatePublished - 2015
EventASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015 - Boston, United States
Duration: Aug 2 2015Aug 5 2015

Other

OtherASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015
CountryUnited States
CityBoston
Period8/2/158/5/15

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ASJC Scopus subject areas

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Cite this

Quan, N., & Kim, H. H. M. (2015). A mixed integer linear programming formulation for unrestricted wind farm layout optimization. In 41st Design Automation Conference (Vol. 2A-2015). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC201546876