메뉴 건너뛰기




Volumn 80, Issue , 2015, Pages 219-229

Maximizing the overall production of wind farms by setting the individual operating point of wind turbines

Author keywords

Genetic algorithm; Offshore wind farm; Wake effect; Wind energy; Wind farm; Wind farm operation

Indexed keywords

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

EID: 84923288286     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.02.009     Document Type: Article
Times cited : (77)

References (30)
  • 2
    • 33747188384 scopus 로고    scopus 로고
    • Comparison of wake model simulations with offshore wind turbine wake profiles measured by sodar
    • Barthelmie R., Larsen G., Frandsen S., Folkerts L., Rados K., Pryor S., et al. Comparison of wake model simulations with offshore wind turbine wake profiles measured by sodar. JAtmos Ocean Technol 2006, 23(7):888-901.
    • (2006) JAtmos Ocean Technol , vol.23 , Issue.7 , pp. 888-901
    • Barthelmie, R.1    Larsen, G.2    Frandsen, S.3    Folkerts, L.4    Rados, K.5    Pryor, S.6
  • 4
    • 84876721373 scopus 로고    scopus 로고
    • Optimum design of transmissions systems for offshore wind farms including decision making under risk
    • Serrano González J., Burgos Payán M., Riquelme Santos J. Optimum design of transmissions systems for offshore wind farms including decision making under risk. Renew Energy 2013, 59:115-127.
    • (2013) Renew Energy , vol.59 , pp. 115-127
    • Serrano González, J.1    Burgos Payán, M.2    Riquelme Santos, J.3
  • 8
    • 84866760042 scopus 로고    scopus 로고
    • Astationary turbine interaction model for control of wind farms
    • Madjidian D., Rantzer A. Astationary turbine interaction model for control of wind farms. IFAC 18th world congress 2011.
    • (2011) IFAC 18th world congress
    • Madjidian, D.1    Rantzer, A.2
  • 9
    • 84873476404 scopus 로고    scopus 로고
    • Blade pitch angle control for aerodynamic performance optimization of a wind farm
    • Lee J., Son E., Hwang B., Lee S. Blade pitch angle control for aerodynamic performance optimization of a wind farm. Renew Energy 2013, 54:124-130.
    • (2013) Renew Energy , vol.54 , pp. 124-130
    • Lee, J.1    Son, E.2    Hwang, B.3    Lee, S.4
  • 10
    • 84879983181 scopus 로고    scopus 로고
    • Amodel-free approach to wind farm control using game theoretic methods
    • Marden J.R., Shalom D.R., Pao L.Y. Amodel-free approach to wind farm control using game theoretic methods. IEEE Trans Control Syst Technol 2013, 21:1207-1214.
    • (2013) IEEE Trans Control Syst Technol , vol.21 , pp. 1207-1214
    • Marden, J.R.1    Shalom, D.R.2    Pao, L.Y.3
  • 13
    • 84923302954 scopus 로고    scopus 로고
    • Analysis of turbulent flow properties and energy fluxes in optimally controlled wind-farm boundary layers
    • Goit J.P., Meyers J. Analysis of turbulent flow properties and energy fluxes in optimally controlled wind-farm boundary layers. The science of making torque from wind, Lyngby, Denmark 2014.
    • (2014) The science of making torque from wind, Lyngby, Denmark
    • Goit, J.P.1    Meyers, J.2
  • 16
    • 85131854709 scopus 로고    scopus 로고
    • Survey of modelling methods for wind turbine wakes and wind farms
    • Crespo A., Hernández J., Frandsen S. Survey of modelling methods for wind turbine wakes and wind farms. Wind Energy 1999, 2:1-24.
    • (1999) Wind Energy , vol.2 , pp. 1-24
    • Crespo, A.1    Hernández, J.2    Frandsen, S.3
  • 17
    • 4544297625 scopus 로고    scopus 로고
    • Placement of wind turbines using genetic algorithms
    • Grady S.A., Hussaini M., Abdullah M.M. Placement of wind turbines using genetic algorithms. Renew Energy 2005, 30:259-270.
    • (2005) Renew Energy , vol.30 , pp. 259-270
    • Grady, S.A.1    Hussaini, M.2    Abdullah, M.M.3
  • 20
    • 80052534765 scopus 로고    scopus 로고
    • Unrestricted wind farm layout optimization (UWFLO): investigating key factors influencing the maximum power generation
    • Chowdhury S., Zhang J., Messac A., Castillo L. Unrestricted wind farm layout optimization (UWFLO): investigating key factors influencing the maximum power generation. Renew Energy 2012, 38:16-30.
    • (2012) Renew Energy , vol.38 , pp. 16-30
    • Chowdhury, S.1    Zhang, J.2    Messac, A.3    Castillo, L.4
  • 21
    • 84923288066 scopus 로고    scopus 로고
    • the Wind Atlas Analysis and Application Program [online].
    • WAsP - the Wind Atlas Analysis and Application Program [online]. http://risoe.dtu.dk/WAsP.aspx.
  • 22
    • 84923278961 scopus 로고    scopus 로고
    • [online].
    • EMD International A/S [online]. http://www.emd.dk/WindPRO/.
  • 23
    • 84923300348 scopus 로고    scopus 로고
    • Meteodyn Meteorology and Dynamics [online]. http://www.meteodyn.com/en/wind%20energy.html.
  • 26
    • 50849117168 scopus 로고    scopus 로고
    • Effective turbulence models and fatigue reliability in wind farms
    • Sørensen J.D., Frandsen S., Tarp-Johansen N.J. Effective turbulence models and fatigue reliability in wind farms. Prob Eng Mech 2008, 23(4):531-538.
    • (2008) Prob Eng Mech , vol.23 , Issue.4 , pp. 531-538
    • Sørensen, J.D.1    Frandsen, S.2    Tarp-Johansen, N.J.3
  • 27
    • 0001808407 scopus 로고
    • Genetic algorithms, nature's way to search for the best
    • Spillman R. Genetic algorithms, nature's way to search for the best. Dr Dobb's J 1993, 26-30.
    • (1993) Dr Dobb's J , pp. 26-30
    • Spillman, R.1
  • 29
    • 84923304564 scopus 로고    scopus 로고
    • WT_Perf by Marshall Buhl). [Last modified 06-July-2012; accessed 01.11.12].
    • NWTC Design Codes (WT_Perf by Marshall Buhl). [Last modified 06-July-2012; accessed 01.11.12]. http://wind.nrel.gov/designcodes/simulators/wtperf/.
  • 30
    • 84876735836 scopus 로고    scopus 로고
    • Eltra PSO-2000 Proj. Nr. EG-05 3248]
    • Wind resources at horns rev 2000, [Technical report D-160949, Eltra PSO-2000 Proj. Nr. EG-05 3248].
    • (2000) Wind resources at horns rev


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.