Wind farm layout design optimization through multidisciplinary design optimization with complementarity constraints

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

Abstract

This paper presents a multidisciplinary design optimization with complementarity constraints (MDO-CC) approach to wind farm layout design to maximize the wind power production under region boundary and interturbine distance constraints. A complementarity formulation technique is introduced such that the wind farm layout design can be described with a continuously differentiable optimization model; and a multi-scenario decomposition approach is proposed to ensure efficient solution with local optimality. To combine global exploration and local optimization, a hybrid solution algorithm is presented, which combines the MDO-CC approach with a bi-objective genetic algorithm that maximizes power production and minimizes constraint violations simultaneously. A numerical case study demonstrates the effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publication12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
StatePublished - Dec 1 2012
Event12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Indianapolis, IN, United States
Duration: Sep 17 2012Sep 19 2012

Publication series

Name12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Other

Other12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CountryUnited States
CityIndianapolis, IN
Period9/17/129/19/12

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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