Authors:
Shafiqur Rehman
1
;
Syed S. Ali
2
and
Syed H. Adil
3
Affiliations:
1
King Fahd University of Petroleum & Minerals, Saudi Arabia
;
2
Universiti Teknologi PETRONAS, Malaysia
;
3
Iqra University, Pakistan
Keyword(s):
Wind Farm Layout Design, Wind Energy, Optimization, Cuckoo Search Algorithm, Genetic Algorithm.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy-Aware Systems and Technologies
;
Renewable Energy Resources
Abstract:
Wind energy has emerged as a strong alternative to fossil fuels for power generation. To generate this
energy, wind turbines are placed in a wind farm. The extraction of maximum energy from these wind farms
demands an efficient layout of the wind farms. This layout determines the location of each turbine in the
wind farm. Due to its sheer complexity, the wind farm layout design problem is considered a complex
optimization problem. In recent years, several attempts have been made to develop techniques and
algorithms for optimization of wind farms. This paper proposes yet another optimization algorithm based on
the cuckoo search (CS), which is a recent optimization method. The proposed cuckoo search algorithm is
compared with genetic algorithm which is by far the highest utilized algorithm for wind farm layout design.
Empirical results indicate that the proposed cuckoo search algorithm outperformed the genetic algorithm for
the given test scenarios in terms of yearly power output and e
fficiency.
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