TOPFARM: Multi-fidelity optimization of wind farms

Pierre-Elouan Réthoré, Peter Fuglsang, Gunner Chr. Larsen, Thomas Buhl, Torben J. Larsen, Helge Aagaard Madsen

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Abstract

A wind farm layout optimization framework based on a multi-fidelity optimization approach is applied to the offshore
test case of Middelgrunden, Denmark as well as to the onshore test case of Stag Holt – Coldham wind farm, UK. While
aesthetic considerations have heavily influenced the famous curved design of the Middelgrunden wind farm, this work
focuses on demonstrating a method that optimizes the profit of wind farms over their lifetime based on a balance of the
energy production income, the electrical grid costs, the foundations cost, and the cost of wake turbulence induced fatigue
degradation of different wind turbine components. A multi-fidelity concept is adapted, which uses cost function models of
increasing complexity (and decreasing speed) to accelerate the convergence to an optimum solution. In the EU-FP6 TOPFARM
project, three levels of complexity are considered. The first level uses a simple stationary wind farm wake model
to estimate the Annual Energy Production (AEP), a foundations cost model depending on the water depth and an electrical
grid cost function dictated by cable length. The second level calculates the AEP and adds a wake-induced fatigue degradation
cost function on the basis of the interpolation in a database of simulations performed for various wind speeds and wake
setups with the aero-elastic code HAWC2 and the dynamic wake meandering model. The third level, not considered in this
present paper, includes directly the HAWC2 and the dynamic wake meandering model in the optimization loop in order to
estimate both the fatigue costs and the AEP. The novelty of this work is the implementation of the multi-fidelity approach
in the context of wind farm optimization, the inclusion of the fatigue degradation costs in the optimization framework, and
its application on the optimal performance as seen through an economical perspective. Copyright © 2013 John Wiley &
Sons, Ltd.
Original languageEnglish
JournalWind Energy
Volume17
Issue number12
Pages (from-to)1797–1816
ISSN1095-4244
DOIs
Publication statusPublished - 2014

Keywords

  • Wind farm layout optimization
  • Wind farm siting
  • Dynamic wake meandering
  • Foundation cost
  • Optimization
  • Wind farm wake
  • Electrical grid cost

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