Decomposition based multi-objective evolutionary algorithm for windfarm layout optimization

An efficient windfarm layout to harness maximum power out of the wind is highly desirable from technical and commercial perspectives. A bit of flexibility on layout gives leeway to the designer of windfarm in planning facilities for erection, installation and future maintenance. This paper proposes...

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Vydáno v:Renewable energy Ročník 115; s. 326 - 337
Hlavní autoři: Biswas, Partha P., Suganthan, P.N., Amaratunga, Gehan A.J.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.01.2018
Témata:
algorithms
case studies
Efficiency
Hub heights
Multi-objective evolutionary algorithm
planning
Power output
renewable energy sources
wind
wind farms
Wind turbine data
wind turbines
Windfarm turbine placement
Wind turbine data
Power output
Efficiency
Hub heights
Multi-objective evolutionary algorithm
Windfarm turbine placement
ISSN:0960-1481, 1879-0682
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Shrnutí:An efficient windfarm layout to harness maximum power out of the wind is highly desirable from technical and commercial perspectives. A bit of flexibility on layout gives leeway to the designer of windfarm in planning facilities for erection, installation and future maintenance. This paper proposes an approach where several options of optimized usable windfarm layouts can be obtained in a single run of decomposition based multi-objective evolutionary algorithm (MOEA/D). A set of Pareto optimal vectors is obtained with objective as maximum output power at minimum wake loss i.e. at maximum efficiency. Maximization of both output power and windfarm efficiency are set as two objectives for optimization. The objectives thus formulated ensure that in any single Pareto optimal solution the number of turbines used are placed at most optimum locations in the windfarm to extract maximum power available in the wind. Case studies with actual manufacturer data for wind turbines of same as well as different hub heights and with realistic wind data are performed under the scope of this research study. •Windfarm layout optimization is formulated as a multi-objective problem.•Maximizing output power and windfarm efficiency are set as the two objectives.•Optimizations with same and different hub heights of turbines are performed.•Each Pareto solution represents an efficient layout with certain no. of turbines.•Any layout from the pool of optimal solutions can be applied based on requirement.
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ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2017.08.041