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Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey

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  • Khan, Salman A.
  • Rehman, Shafiqur

Abstract

Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem.

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  • Khan, Salman A. & Rehman, Shafiqur, 2013. "Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 370-384.
    • Handle: RePEc:eee:rensus:v:19:y:2013:i:c:p:370-384
    DOI: 10.1016/j.rser.2012.11.040
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    as
    1. Kinab, E. & Elkhoury, M., 2012. "Renewable energy use in Lebanon: Barriers and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4422-4431.
    2. Emami, Alireza & Noghreh, Pirooz, 2010. "New approach on optimization in placement of wind turbines within wind farm by genetic algorithms," Renewable Energy, Elsevier, vol. 35(7), pages 1559-1564.
    3. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    4. González, Javier Serrano & Gonzalez Rodriguez, Angel G. & Mora, José Castro & Santos, Jesús Riquelme & Payan, Manuel Burgos, 2010. "Optimization of wind farm turbines layout using an evolutive algorithm," Renewable Energy, Elsevier, vol. 35(8), pages 1671-1681.
    5. Marmidis, Grigorios & Lazarou, Stavros & Pyrgioti, Eleftheria, 2008. "Optimal placement of wind turbines in a wind park using Monte Carlo simulation," Renewable Energy, Elsevier, vol. 33(7), pages 1455-1460.
    6. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    7. Mustakerov, Ivan & Borissova, Daniela, 2010. "Wind turbines type and number choice using combinatorial optimization," Renewable Energy, Elsevier, vol. 35(9), pages 1887-1894.
    8. Alarcon-Rodriguez, Arturo & Ault, Graham & Galloway, Stuart, 2010. "Multi-objective planning of distributed energy resources: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1353-1366, June.
    9. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
    10. Jervase, Joseph A. & Al-Lawati, Ali M., 2012. "Wind energy potential assessment for the Sultanate of Oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1496-1507.
    11. Komarov, Dragan & Stupar, Slobodan & Simonović, Aleksandar & Stanojević, Marija, 2012. "Prospects of wind energy sector development in Serbia with relevant regulatory framework overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2618-2630.
    12. Kusiak, Andrew & Song, Zhe, 2010. "Design of wind farm layout for maximum wind energy capture," Renewable Energy, Elsevier, vol. 35(3), pages 685-694.
    13. Himri, Y. & Rehman, S. & Agus Setiawan, A. & Himri, S., 2012. "Wind energy for rural areas of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2381-2385.
    14. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    15. Saavedra-Moreno, B. & Salcedo-Sanz, S. & Paniagua-Tineo, A. & Prieto, L. & Portilla-Figueras, A., 2011. "Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms," Renewable Energy, Elsevier, vol. 36(11), pages 2838-2844.
    16. Youcef Ettoumi, Fatiha & Adane, Abd El Hamid & Benzaoui, Mohamed Lassaad & Bouzergui, Nabila, 2008. "Comparative simulation of wind park design and siting in Algeria," Renewable Energy, Elsevier, vol. 33(10), pages 2333-2338.
    Full references (including those not matched with items on IDEAS)

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    21. Khan, Meer A.M. & Rehman, S. & Al-Sulaiman, Fahad A., 2018. "A hybrid renewable energy system as a potential energy source for water desalination using reverse osmosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 456-477.
    22. Rodrigues, S. & Bauer, P. & Bosman, Peter A.N., 2016. "Multi-objective optimization of wind farm layouts – Complexity, constraint handling and scalability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 587-609.
    23. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    24. Mamdouh Abdulrahman & David Wood, 2019. "Wind Farm Layout Upgrade Optimization," Energies, MDPI, vol. 12(13), pages 1-25, June.

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