메뉴 건너뛰기




Volumn 108, Issue , 2016, Pages 160-180

Design of optimal wind farm configuration using a binary particle swarm optimization at Huasai district, Southern Thailand

Author keywords

Optimization; Probability distribution; Thailand; Wind farms; Wind turbines

Indexed keywords

BINS; BUDGET CONTROL; ECONOMICS; ELECTRIC UTILITIES; INVESTMENTS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PROBABILITY; PROBABILITY DISTRIBUTIONS; PROFITABILITY; WAKES; WIND; WIND POWER; WIND TURBINES;

EID: 84947264976     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2015.11.002     Document Type: Article
Times cited : (72)

References (42)
  • 2
    • 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 2 2005 259 270
    • (2005) Renew Energy , vol.30 , Issue.2 , pp. 259-270
    • Grady, S.A.1    Hussaini, M.Y.2    Abdullah, M.M.3
  • 3
    • 84872894121 scopus 로고    scopus 로고
    • Optimal placement of wind turbines within wind farm using binary particle swarm optimization with time-varying acceleration coefficients
    • S. Pookpunt, and W. Ongsakul Optimal placement of wind turbines within wind farm using binary particle swarm optimization with time-varying acceleration coefficients Renew Energy 55 2013 266 276
    • (2013) Renew Energy , vol.55 , pp. 266-276
    • Pookpunt, S.1    Ongsakul, W.2
  • 4
    • 84941954946 scopus 로고    scopus 로고
    • Multi-objective genetic algorithm based innovative wind farm layout optimization method
    • Y. Chen, and et al. Multi-objective genetic algorithm based innovative wind farm layout optimization method Energy Convers Manage 105 2015 1318 1327
    • (2015) Energy Convers Manage , vol.105 , pp. 1318-1327
    • Chen, Y.1
  • 5
    • 84858717849 scopus 로고    scopus 로고
    • Assessment of the wind energy resource in the South Banat region, Serbia
    • D. Zeljko, and J. Milulovic‡ Assessment of the wind energy resource in the South Banat region, Serbia Renew Sustain Energy Rev 16 5 2012 3014 3023
    • (2012) Renew Sustain Energy Rev , vol.16 , Issue.5 , pp. 3014-3023
    • Zeljko, D.1    Milulovic, J.2
  • 6
    • 32044444887 scopus 로고    scopus 로고
    • Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt
    • A.S. Ahmed Shata, and R. Hanitsch Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt Renew Energy 31 8 2006 1183 1202
    • (2006) Renew Energy , vol.31 , Issue.8 , pp. 1183-1202
    • Ahmed Shata, A.S.1    Hanitsch, R.2
  • 7
    • 67349247564 scopus 로고    scopus 로고
    • A new method to estimate Weibull parameters for wind energy applications
    • S.A. AkdagY, and A. Dinler A new method to estimate Weibull parameters for wind energy applications Energy Convers Manage 50 7 2009 1761 1766
    • (2009) Energy Convers Manage , vol.50 , Issue.7 , pp. 1761-1766
    • Akdagÿ, S.A.1    Dinler, A.2
  • 8
    • 0034038443 scopus 로고    scopus 로고
    • The economic viability of commercial wind plants in Greece A complete sensitivity analysis
    • J.K. Kaldellis, and T.J. Gavras The economic viability of commercial wind plants in Greece A complete sensitivity analysis Energy Policy 28 8 2000 509 517
    • (2000) Energy Policy , vol.28 , Issue.8 , pp. 509-517
    • Kaldellis, J.K.1    Gavras, T.J.2
  • 10
    • 84856250617 scopus 로고    scopus 로고
    • A response surface-based cost model for wind farm design
    • J. Zhang, and et al. A response surface-based cost model for wind farm design Energy Policy 42 2012 538 550
    • (2012) Energy Policy , vol.42 , pp. 538-550
    • Zhang, J.1
  • 11
    • 49749093779 scopus 로고    scopus 로고
    • Job and economic development impact (JEDI) model: A user-friendly tool to calculate economic impacts from wind projects
    • National Renewable Energy Laboratory Chicago (Illinois)
    • M. Goldberg, K. Sinclair, and M. Milligan Job and economic development impact (JEDI) model: a user-friendly tool to calculate economic impacts from wind projects Global WINDPOWER conference 2004 National Renewable Energy Laboratory Chicago (Illinois) 9
    • (2004) Global WINDPOWER Conference , pp. 9
    • Goldberg, M.1    Sinclair, K.2    Milligan, M.3
  • 15
    • 77349109050 scopus 로고    scopus 로고
    • New approach on optimization in placement of wind turbines within wind farm by genetic algorithms
    • A. Emami, and P. Noghreh New approach on optimization in placement of wind turbines within wind farm by genetic algorithms Renew Energy 35 7 2010 1559 1564
    • (2010) Renew Energy , vol.35 , Issue.7 , pp. 1559-1564
    • Emami, A.1    Noghreh, P.2
  • 16
    • 77949570984 scopus 로고    scopus 로고
    • Optimization of wind farm turbines layout using an evolutive algorithm
    • J.S. Gonzalez, and et al. Optimization of wind farm turbines layout using an evolutive algorithm Renew Energy 35 8 2010 1671 1681
    • (2010) Renew Energy , vol.35 , Issue.8 , pp. 1671-1681
    • Gonzalez, J.S.1
  • 17
    • 84875466750 scopus 로고    scopus 로고
    • Wind farm layout optimization using genetic algorithm with different hub height wind turbines
    • Y. Chen, and et al. 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
  • 18
    • 33747188384 scopus 로고    scopus 로고
    • Comparison of wake model simulations with offshore wind turbine wake profiles measured by sodar
    • R.J. Barthelmie, and et al. Comparison of wake model simulations with offshore wind turbine wake profiles measured by sodar J Atmos Ocean Technol 23 7 2006 888 901
    • (2006) J Atmos Ocean Technol , vol.23 , Issue.7 , pp. 888-901
    • Barthelmie, R.J.1
  • 23
    • 53349098758 scopus 로고    scopus 로고
    • Department of Energy Development and Promotion. 1st ed. Bangkok: Central Printing
    • Department of Energy Development and Promotion. Wind resource assessment of Thailand. 1st ed. Bangkok: Central Printing; 2001. p. 194.
    • (2001) Wind Resource Assessment of Thailand , pp. 194
  • 25
    • 84947214388 scopus 로고    scopus 로고
    • Preliminary assessment of wind energy resource over Thailand
    • R. Pan-Aram, and et al. Preliminary assessment of wind energy resource over Thailand KMUTT Res Develop J 33 2 2010 75 88
    • (2010) KMUTT Res Develop J , vol.33 , Issue.2 , pp. 75-88
    • Pan-Aram, R.1
  • 26
    • 84947216000 scopus 로고    scopus 로고
    • Assessment of wind energy resource and feasibility of installing 0.225-0.75 MW wind power plants along the coast of Nakhon Si Thammarat and Songkhla provinces
    • W. Puangkaew, and et al. Assessment of wind energy resource and feasibility of installing 0.225-0.75 MW wind power plants along the coast of Nakhon Si Thammarat and Songkhla provinces Thaksin Univ J 12 3 2009 129 137
    • (2009) Thaksin Univ J , vol.12 , Issue.3 , pp. 129-137
    • Puangkaew, W.1
  • 27
    • 84947252525 scopus 로고    scopus 로고
    • An analysis of wind potential at Huasai in Nakhon Si Thammarat province
    • C. Chancham, and et al. An analysis of wind potential at Huasai in Nakhon Si Thammarat province Thaksin Univ J 12 2 2009 10 19
    • (2009) Thaksin Univ J , vol.12 , Issue.2 , pp. 10-19
    • Chancham, C.1
  • 28
    • 84948767569 scopus 로고    scopus 로고
    • Department of Alternative Energy Development and Efficiency. Songkla: Prince of Songkla University
    • Department of Alternative Energy Development and Efficiency. A study of wind resource micrositing. Songkla: Prince of Songkla University; 2006. p. 209.
    • (2006) A Study of Wind Resource Micrositing , pp. 209
  • 29
    • 84870855764 scopus 로고    scopus 로고
    • High resolution wind atlas for Nakhon Si Thammarat and Songkhla provinces, Thailand
    • J. Waewsak, M. Landry, and Y. Gagnon High resolution wind atlas for Nakhon Si Thammarat and Songkhla provinces, Thailand Renew Energy 53 2013 101 110
    • (2013) Renew Energy , vol.53 , pp. 101-110
    • Waewsak, J.1    Landry, M.2    Gagnon, Y.3
  • 30
    • 0003635586 scopus 로고    scopus 로고
    • Wind turbines fundamentals, technologies, application
    • H. Erich Wind turbines fundamentals, technologies, application Economics 2006
    • (2006) Economics
    • Erich, H.1
  • 37
    • 0034161613 scopus 로고    scopus 로고
    • Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis
    • J.V. Seguro, and T.W. Lambert Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis J Wind Eng Ind Aerodyn 85 1 2000 75 84
    • (2000) J Wind Eng Ind Aerodyn , vol.85 , Issue.1 , pp. 75-84
    • Seguro, J.V.1    Lambert, T.W.2
  • 38
    • 84888421878 scopus 로고    scopus 로고
    • An evaluation of the wind energy in the North-West of the Black Sea
    • F. Onea, and E. Rusu An evaluation of the wind energy in the North-West of the Black Sea Int J Green Energy 11 5 2013 465 487
    • (2013) Int J Green Energy , vol.11 , Issue.5 , pp. 465-487
    • Onea, F.1    Rusu, E.2
  • 39
    • 84932631119 scopus 로고    scopus 로고
    • Evaluation of the wind energy potential in the coastal environment of two enclosed seas
    • F. Onea, A. Raileanu, and E. Rusu Evaluation of the wind energy potential in the coastal environment of two enclosed seas Adv Meteorol 2015 2015 14
    • (2015) Adv Meteorol , vol.2015 , pp. 14
    • Onea, F.1    Raileanu, A.2    Rusu, E.3
  • 42
    • 3142768423 scopus 로고    scopus 로고
    • Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
    • A. Ratnaweera, S.K. Halgamuge, and H.C. Watson Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients IEEE Trans Evol Comput 2004
    • (2004) IEEE Trans Evol Comput
    • Ratnaweera, A.1    Halgamuge, S.K.2    Watson, H.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.