메뉴 건너뛰기




Volumn 105, Issue , 2015, Pages 1318-1327

Multi-objective genetic algorithm based innovative wind farm layout optimization method

Author keywords

Layout optimization; Multi objective genetic algorithm; Wind farm

Indexed keywords

ALGORITHMS; ELECTRIC UTILITIES; GENETIC ALGORITHMS; WIND POWER; WIND TURBINES;

EID: 84941954946     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2015.09.011     Document Type: Article
Times cited : (73)

References (39)
  • 1
    • 84941966400 scopus 로고    scopus 로고
    • The Department of Energy. Energy efficiency and renewable energy; 2008.
    • The Department of Energy. Energy efficiency and renewable energy; 2008.
  • 4
    • 77958192607 scopus 로고    scopus 로고
    • Wind energy conversion with a variable-ratio gearbox: Design and analysis
    • J.F. Hall, C.A. Meeklenborg, D. Chen, and S.B. Pratap Wind energy conversion with a variable-ratio gearbox: design and analysis Renew Energy 36 3 2011 1075 1080
    • (2011) Renew Energy , vol.36 , Issue.3 , pp. 1075-1080
    • Hall, J.F.1    Meeklenborg, C.A.2    Chen, D.3    Pratap, S.B.4
  • 6
    • 84875474647 scopus 로고    scopus 로고
    • Factorial analysis of selected factors affecting the electricity production of onshore wind farms
    • C.A. Ramos, D. Ramirez, K. Jin, and H. Li Factorial analysis of selected factors affecting the electricity production of onshore wind farms Int J Energy Clean Environ 12 1 2011 67 77
    • (2011) Int J Energy Clean Environ , vol.12 , Issue.1 , pp. 67-77
    • Ramos, C.A.1    Ramirez, D.2    Jin, K.3    Li, H.4
  • 7
    • 33645725164 scopus 로고    scopus 로고
    • Design of a maximum power tracking system for wind-energy-conversion applications
    • E. Koutroulis, and K. Kalaitzakis Design of a maximum power tracking system for wind-energy-conversion applications IEEE Trans Indust Electron 53 2 2006 486 494
    • (2006) IEEE Trans Indust Electron , vol.53 , Issue.2 , pp. 486-494
    • Koutroulis, E.1    Kalaitzakis, K.2
  • 8
    • 42749097896 scopus 로고    scopus 로고
    • A joint probability density function of wind speed and direction for wind energy analysis
    • J.A. Carta, P. Ramírez, and C. Bueno A joint probability density function of wind speed and direction for wind energy analysis Energy Convers Manage 49 6 2008 1309 1320
    • (2008) Energy Convers Manage , vol.49 , Issue.6 , pp. 1309-1320
    • Carta, J.A.1    Ramírez, P.2    Bueno, C.3
  • 9
    • 71849115521 scopus 로고    scopus 로고
    • Uncertainty analysis of wind energy potential assessment
    • S.D. Kwon Uncertainty analysis of wind energy potential assessment Appl Energy 87 2010 856 865
    • (2010) Appl Energy , vol.87 , pp. 856-865
    • Kwon, S.D.1
  • 10
    • 75449105081 scopus 로고    scopus 로고
    • Wind energy potential assessment in Naxos Island, Greece
    • I. Fyrippis, P.J. Axaopoulos, and G. Panayiotou Wind energy potential assessment in Naxos Island, Greece Appl Energy 87 2010 577 586
    • (2010) Appl Energy , vol.87 , pp. 577-586
    • Fyrippis, I.1    Axaopoulos, P.J.2    Panayiotou, G.3
  • 11
    • 77953136645 scopus 로고    scopus 로고
    • Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean
    • S.A. Akdag, H.S. Bagiorgas, and G. Mihalakakou Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean Appl Energy 87 2010 2566 2573
    • (2010) Appl Energy , vol.87 , pp. 2566-2573
    • Akdag, S.A.1    Bagiorgas, H.S.2    Mihalakakou, G.3
  • 12
    • 84870678396 scopus 로고    scopus 로고
    • Empirical investigation on using wind speed volatility to estimate the operation probability and power output of wind turbines
    • H.P. Liu, J. Shi, and X.L. Qu Empirical investigation on using wind speed volatility to estimate the operation probability and power output of wind turbines Energy Convers Manage 67 2013 8 17
    • (2013) Energy Convers Manage , vol.67 , pp. 8-17
    • Liu, H.P.1    Shi, J.2    Qu, X.L.3
  • 13
    • 84867415139 scopus 로고    scopus 로고
    • Using different methods for comprehensive study of wind turbine utilization in Zarrineh, Iran
    • K. Mohammadi, and A. Mostafaeipour Using different methods for comprehensive study of wind turbine utilization in Zarrineh, Iran Energy Convers Manage 65 2013 463 470
    • (2013) Energy Convers Manage , vol.65 , pp. 463-470
    • Mohammadi, K.1    Mostafaeipour, A.2
  • 14
    • 4544297625 scopus 로고    scopus 로고
    • Placement of wind turbines using genetic algorithms
    • S.A. Grady, M.Y. Hussaini, and M.M. Abdullah Placement of wind turbines using genetic algorithms Renew Energy 30 2005 259 270
    • (2005) Renew Energy , vol.30 , pp. 259-270
    • Grady, S.A.1    Hussaini, M.Y.2    Abdullah, M.M.3
  • 17
    • 34548147735 scopus 로고    scopus 로고
    • An evolutive algorithm for wind farm optimal design
    • J.C. Mora, J.C. Baron, J.R. Santos, and M.B. Payan An evolutive algorithm for wind farm optimal design Neurocomputing 70 2007 2651 2658
    • (2007) Neurocomputing , vol.70 , pp. 2651-2658
    • Mora, J.C.1    Baron, J.C.2    Santos, J.R.3    Payan, M.B.4
  • 20
    • 84923037738 scopus 로고    scopus 로고
    • Investigating the possibility of using different hub height wind turbines in a wind farm
    • Y. Chen, H. Li, K. Jin, and Y. Elkassabgi Investigating the possibility of using different hub height wind turbines in a wind farm Int J Sustain Energy 2015 10.1080/14786451.2015.1007139
    • (2015) Int J Sustain Energy
    • Chen, Y.1    Li, H.2    Jin, K.3    Elkassabgi, Y.4
  • 21
    • 84875466750 scopus 로고    scopus 로고
    • Wind farm layout optimization using genetic algorithm with different hub height wind turbines
    • Y. Chen, H. Li, K. Jin, and Q. Song Wind farm layout optimization using genetic algorithm with different hub height wind turbines Energy Convers Manage 70 2013 56 65
    • (2013) Energy Convers Manage , vol.70 , pp. 56-65
    • Chen, Y.1    Li, H.2    Jin, K.3    Song, Q.4
  • 22
    • 84876580465 scopus 로고    scopus 로고
    • Recalibrating wind turbine wake model parameters-validating the wake model performance for large offshore wind farms
    • Sorensen P, Nielsen T. Recalibrating wind turbine wake model parameters-validating the wake model performance for large offshore wind farms. In: European wind energy conference and exhibition; 2006.
    • (2006) European Wind Energy Conference and Exhibition
    • Sorensen, P.1    Nielsen, T.2
  • 23
    • 34548173671 scopus 로고    scopus 로고
    • Analysis of power enhancement for a row of wind turbines using the actuator line technique
    • Mikkelsen R, Sorensen JN, Oye S, Troldborg N. Analysis of power enhancement for a row of wind turbines using the actuator line technique. J Phys: Conf Ser 2007;75/1.
    • (2007) J Phys: Conf ser , vol.75 , Issue.1
    • Mikkelsen, R.1    Sorensen, J.N.2    Oye, S.3    Troldborg, N.4
  • 24
    • 40949126996 scopus 로고    scopus 로고
    • Optimal placement of wind turbines in a wind park using Monte Carlo simulation
    • G. Marmidis, S. Lazarou, and E. Pyrgioti Optimal placement of wind turbines in a wind park using Monte Carlo simulation Renew Energy 33 2008 1455 1460
    • (2008) Renew Energy , vol.33 , pp. 1455-1460
    • Marmidis, G.1    Lazarou, S.2    Pyrgioti, E.3
  • 25
    • 84858292727 scopus 로고    scopus 로고
    • Design of wind farm layout using ant colony algorithm
    • Y. Eroʇlu, and S.U. Seçkiner Design of wind farm layout using ant colony algorithm Renew Energy 44 2012 53 62
    • (2012) Renew Energy , vol.44 , pp. 53-62
    • Eroʇlu, Y.1    Seçkiner, S.U.2
  • 26
    • 80052534765 scopus 로고    scopus 로고
    • Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation
    • S. Chowdhury, J. Zhang, A. Messac, and L. Castillo Unrestricted wind farm layout optimization (UWFLO): investigating key factors influencing the maximum power generation Renew Energy 38 1 2012 16 30
    • (2012) Renew Energy , vol.38 , Issue.1 , pp. 16-30
    • Chowdhury, S.1    Zhang, J.2    Messac, A.3    Castillo, L.4
  • 28
    • 84921340400 scopus 로고    scopus 로고
    • The lazy greedy algorithm for power optimization of wind turbine positioning on complex terrain
    • M.X. Song, K. Chen, X. Zhang, and J. Wang The lazy greedy algorithm for power optimization of wind turbine positioning on complex terrain Energy 80 2015 567 574
    • (2015) Energy , vol.80 , pp. 567-574
    • Song, M.X.1    Chen, K.2    Zhang, X.3    Wang, J.4
  • 29
    • 84929300205 scopus 로고    scopus 로고
    • Layout optimization for maximizing wind farm power production using sequential convex programming
    • J. Park, and K.H. Law Layout optimization for maximizing wind farm power production using sequential convex programming Appl Energy 151 2015 320 334
    • (2015) Appl Energy , vol.151 , pp. 320-334
    • Park, J.1    Law, K.H.2
  • 30
    • 84896508885 scopus 로고    scopus 로고
    • Towards realistic designs of wind farm layouts: Application of a novel placement selector approach
    • O. Rahbari, M. Vafaeipour, F. Fazelpour, M. Feidt, and M.A. Rosen Towards realistic designs of wind farm layouts: application of a novel placement selector approach Energy Convers Manage 81 2014 242 254
    • (2014) Energy Convers Manage , vol.81 , pp. 242-254
    • Rahbari, O.1    Vafaeipour, M.2    Fazelpour, F.3    Feidt, M.4    Rosen, M.A.5
  • 31
    • 33746589609 scopus 로고    scopus 로고
    • Evolutionary algorithms for multi-criterion optimization: A survey
    • A. Ghosh, and S. Dehuri Evolutionary algorithms for multi-criterion optimization: a survey Int J Comput Inf Sci 2 1 2004 38 57
    • (2004) Int J Comput Inf Sci , vol.2 , Issue.1 , pp. 38-57
    • Ghosh, A.1    Dehuri, S.2
  • 32
    • 24344437114 scopus 로고    scopus 로고
    • Multi-objective evolutionary algorithms: Introducing bias among pareto-optimal solutions
    • K. Deb Multi-objective evolutionary algorithms: introducing bias among pareto-optimal solutions Adv Evolut Comput Nat Comput Ser 2003 263 292
    • (2003) Adv Evolut Comput Nat Comput ser , pp. 263-292
    • Deb, K.1
  • 36
    • 84941966401 scopus 로고    scopus 로고
    • [retrieved 01.11.14].
    • http://www.wind-energy-market.com/en/wind-turbines/big-plants/details/details/bp/ge-15-77-4/ [retrieved 01.11.14].
  • 37
    • 84941966402 scopus 로고    scopus 로고
    • [retrieved October 2012].
    • http://mesonet.agron.iastate.edu/request/download.phtml?network=TX-ASOS [retrieved October 2012].
  • 38
    • 0036832060 scopus 로고    scopus 로고
    • On some of the design aspects of wind energy conversion systems
    • R.C. Bansal, T.S. Bhatti, and D.P. Kothari On some of the design aspects of wind energy conversion systems Energy Convers Manage 43 16 2002 2175 2187
    • (2002) Energy Convers Manage , vol.43 , Issue.16 , pp. 2175-2187
    • Bansal, R.C.1    Bhatti, T.S.2    Kothari, D.P.3
  • 39
    • 84856597499 scopus 로고    scopus 로고
    • Recent developments in the levelized cost of energy from U.S. Wind power projects
    • of the U.S. Department of Energy, February
    • Wiser R, Lantz E, Bolinger M. Recent developments in the levelized cost of energy from U.S. wind power projects. Office of Energy Efficiency and Renewable Energy of the U.S. Department of Energy, February 2012.
    • (2012) Office of Energy Efficiency and Renewable Energy
    • Wiser, R.1    Lantz, E.2    Bolinger, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.