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Volumn 36, Issue 11, 2011, Pages 2838-2844

Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms

Author keywords

Evolutionary algorithms; Heuristics; Turbines location; Wind farm design

Indexed keywords

ECONOMICAL BENEFITS; EVOLUTIONARY APPROACH; HEURISTICS; INITIAL POPULATION; INITIAL SOLUTION; OPTIMAL POSITIONING; OPTIMIZATION PROCESS; REALISTIC MODEL; WIND FARM; WIND FARM DESIGN; WIND SPEED;

EID: 79957861447     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2011.04.018     Document Type: Article
Times cited : (130)

References (27)
  • 2
    • 79957815982 scopus 로고    scopus 로고
    • State of the art in wind farm layout optimization. Wind Energy Research, .
    • Réthoré PE. State of the art in wind farm layout optimization. Wind Energy Research, http://windenergyresearch.org/%3Fp%3D979.
    • Réthoré, P.E.1
  • 4
    • 4544297625 scopus 로고    scopus 로고
    • Placement of wind turbines using genetic algorithms
    • Grady S.A., Hussaini M.Y., Abdullah M.M. Placement of wind turbines using genetic algorithms. Renewable Energy 2005, 30(2):259-270.
    • (2005) Renewable Energy , vol.30 , Issue.2 , pp. 259-270
    • Grady, S.A.1    Hussaini, M.Y.2    Abdullah, M.M.3
  • 5
    • 77349109050 scopus 로고    scopus 로고
    • New approach on optimization in placement of wind turbines within wind farm by genetic algorithms
    • Emami A., Noghreh P. New approach on optimization in placement of wind turbines within wind farm by genetic algorithms. Renewable Energy 2010, 35(7):1559-1564.
    • (2010) Renewable Energy , vol.35 , Issue.7 , pp. 1559-1564
    • Emami, A.1    Noghreh, P.2
  • 11
    • 34548348527 scopus 로고    scopus 로고
    • An analytical framework for offshore wind farm layout optimization
    • Lackner M.A., Elkinton C.N. An analytical framework for offshore wind farm layout optimization. Wind Engineering 2007, 31(1):17-31.
    • (2007) Wind Engineering , vol.31 , Issue.1 , pp. 17-31
    • Lackner, M.A.1    Elkinton, C.N.2
  • 13
    • 67649962394 scopus 로고    scopus 로고
    • Algorithms for offshore wind farm layout optimization
    • Elkinton C.N., Manwell J.F., McGowan J.G. Algorithms for offshore wind farm layout optimization. Wind Engineering 2008, 32(1):67-84.
    • (2008) Wind Engineering , vol.32 , Issue.1 , pp. 67-84
    • Elkinton, C.N.1    Manwell, J.F.2    McGowan, J.G.3
  • 14
    • 70349454007 scopus 로고    scopus 로고
    • Solving the turbine positioning problem for large offshore wind farms by simulated annealing
    • Rivas R.A., Clausen J., Hansen K.S., Jensen L.E. Solving the turbine positioning problem for large offshore wind farms by simulated annealing. Wind Engineering 2009, 33(3):287-297.
    • (2009) Wind Engineering , vol.33 , Issue.3 , pp. 287-297
    • Rivas, R.A.1    Clausen, J.2    Hansen, K.S.3    Jensen, L.E.4
  • 15
    • 50249086283 scopus 로고    scopus 로고
    • Analysis of the behaviour of genetic algorithm applied in optimization of electrical system design for offshore wind farms
    • Zhao M., Chen Z., Hjerrild J. Analysis of the behaviour of genetic algorithm applied in optimization of electrical system design for offshore wind farms. Proc. Of the 32nd IEEE Conference on Industrial Electronics 2006, 2335-2340.
    • (2006) Proc. Of the 32nd IEEE Conference on Industrial Electronics , pp. 2335-2340
    • Zhao, M.1    Chen, Z.2    Hjerrild, J.3
  • 16
    • 71549119517 scopus 로고    scopus 로고
    • Design of wind farm layout for maximum wind energy capture
    • Kusiak A., Song Z. Design of wind farm layout for maximum wind energy capture. Renewable Energy 2010, 35:685-694.
    • (2010) Renewable Energy , vol.35 , pp. 685-694
    • Kusiak, A.1    Song, Z.2
  • 19
    • 77951625981 scopus 로고    scopus 로고
    • Optimal positioning of wind turbines on Gökceada using multi-objective genetic algorithm
    • Sisbot S., Turgut Ö, Tunç M., Çamdali Ü Optimal positioning of wind turbines on Gökceada using multi-objective genetic algorithm. Wind Energy 2010, 13(4):297-306.
    • (2010) Wind Energy , vol.13 , Issue.4 , pp. 297-306
    • Sisbot, S.1    Turgut Ö2    Tunç, M.3    Çamdali Ü4
  • 20
    • 77950127530 scopus 로고    scopus 로고
    • Efficient hybrid distributed genetic algorithms for wind turbine positioning in large wind farms
    • Huang H. Efficient hybrid distributed genetic algorithms for wind turbine positioning in large wind farms. Proc. Of the 2009 IEEE International Symposium on Industrial Electronics 2009, 2196-2201.
    • (2009) Proc. Of the 2009 IEEE International Symposium on Industrial Electronics , pp. 2196-2201
    • Huang, H.1
  • 21
    • 40949126996 scopus 로고    scopus 로고
    • Optimal placement of wind turbines in a wind park using Monte Carlo simulation
    • Marmidis G., Lazarou S., Pyrgioti E. Optimal placement of wind turbines in a wind park using Monte Carlo simulation. Renewable Energy 2008, 33(7):1455-1460.
    • (2008) Renewable Energy , vol.33 , Issue.7 , pp. 1455-1460
    • Marmidis, G.1    Lazarou, S.2    Pyrgioti, E.3
  • 22
    • 77950934538 scopus 로고    scopus 로고
    • Wind turbines type and number choice using combinatorial optimization
    • Mustakerov, Borissova D. Wind turbines type and number choice using combinatorial optimization. Renewable Energy 2010, 35:1887-1894.
    • (2010) Renewable Energy , vol.35 , pp. 1887-1894
    • Mustakerov1    Borissova, D.2
  • 24
    • 1842832191 scopus 로고    scopus 로고
    • Heuristic methods for wind energy conversion system positioning
    • Ozturk U.A., Norman B.A. Heuristic methods for wind energy conversion system positioning. Electric Power Systems Research 2004, 70(3):179-185.
    • (2004) Electric Power Systems Research , vol.70 , Issue.3 , pp. 179-185
    • Ozturk, U.A.1    Norman, B.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.