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Fast and Effective Multi-Objective Optimisation of Wind Turbine Placement

By Raymond Tran, Junhua Wu, Christopher Denison, Thomas Ackling, Markus Wagner and Frank Neumann


The single-objective yield optimisation of wind turbine placements on a given area of land is already a challenging optimization problem. In this article, we tackle the multi-objective variant of this problem: we are taking into account the wake effects that are produced by the different turbines on the wind farm, while optimising the energy yield, the necessary area, and the cable length needed to connect all turbines. One key step contribution in order to make the optimisation computationally feasible is that we employ problem-specific variation operators. Furthermore, we use a recently presented cachingtechnique to speed-up the computation time needed to assess a given wind farm layout. The resulting approach allows the multiobjective optimisation of large real-world scenarios within a single night on a standard computer

Topics: Categories and Subject Descriptors I.2.8 [Artificial Intelligence, Problem Solving, Control Methods, and Search—Heuristic Methods General Terms Algorithms, Performance Keywords Wind Power, Wind Farm Layout, Multi-Objective Optimisation
Year: 2014
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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