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Volumn , Issue , 2011, Pages

Optimal wind turbine placement via randomized optimization techniques

Author keywords

Genetic algorithms; Monte Carlo methods; Randomized optimization; Wind turbines

Indexed keywords

ALGORITHMS; GENETIC ALGORITHMS; HEURISTIC METHODS; MARKOV PROCESSES; OPTIMIZATION; WIND POWER; WIND TURBINES;

EID: 84943803663     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 1
    • 0028174498 scopus 로고
    • Optimization of wind turbine positioning in large wind farms by means of a genetic algorithm
    • G. Mosetti, C. Poloni and B. Diviacco, (1994) "Optimization of wind turbine positioning in large wind farms by means of a genetic algorithm", Journal of Wind Engineering and Industrial Aerodynamics, vol. 51, No. 1, pp. 105-116
    • (1994) Journal of Wind Engineering and Industrial Aerodynamics , vol.51 , Issue.1 , pp. 105-116
    • Mosetti, G.1    Poloni, C.2    Diviacco, B.3
  • 4
    • 4544297625 scopus 로고    scopus 로고
    • Placement of wind turbines using genetic algorithms
    • S. A. Grady, M. Y. Hussaini, M. M. Abdullah (2005). "Placement of wind turbines using genetic algorithms", Renewable Energy 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
  • 10
    • 71549119517 scopus 로고    scopus 로고
    • Design of wind farm layout for maximum wind energy capture
    • A. Kusiak, Z. Song (2009). "Design of wind farm layout for maximum wind energy capture", Renewable Energy 35(3): 685-694
    • (2009) Renewable Energy , vol.35 , Issue.3 , pp. 685-694
    • Kusiak, A.1    Song, Z.2
  • 11
    • 77954630943 scopus 로고    scopus 로고
    • Optimal micrositing of wind farms by particle swarm optimization
    • C. Wan, J. Wang, G. Yang and X. Zhang, "Optimal Micrositing of Wind Farms by Particle Swarm Optimization", Lecture Notes in Computer Science, vol. 6145, pp. 198-205, 2010
    • (2010) Lecture Notes in Computer Science , vol.6145 , pp. 198-205
    • Wan, C.1    Wang, J.2    Yang, G.3    Zhang, X.4
  • 12
    • 1842832191 scopus 로고    scopus 로고
    • Heuristic methods for wind energy system positioning
    • U.A. Ozturk and B.A. Norman, "Heuristic methods for wind energy system positioning", Electric Power Systems Research, vol. 70, no. 3, pp. 179-185, 2004
    • (2004) Electric Power Systems Research , vol.70 , Issue.3 , pp. 179-185
    • Ozturk, U.A.1    Norman, B.A.2
  • 14
    • 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, (2008). "Optimal placement of wind turbines in a wind park using Monte Carlo simulation", Renewable Energy, vol. 33, pp. 1455-1460
    • (2008) Renewable Energy , vol.33 , pp. 1455-1460
    • Marmidis, G.1    Lazarou, S.2    Pyrgioti, E.3
  • 17
    • 78650028284 scopus 로고    scopus 로고
    • Stochastic optimization on continuous domains with finite-time guarantees by Markov chain Monte Carlo methods
    • to appear
    • A. Lecchini, J. Lygeros and J. Maciejowski, (2010). "Stochastic optimization on continuous domains with finite-time guarantees by Markov chain Monte Carlo methods", IEEE Transactions on Automatic Control, to appear
    • (2010) IEEE Transactions on Automatic Control
    • Lecchini, A.1    Lygeros, J.2    Maciejowski, J.3
  • 18
    • 66149141080 scopus 로고    scopus 로고
    • The influence of the wind speed profile on wind turbine performance measurements
    • R. Wagner, I. Antoniou, S. M. Pedersen, M. S. Courtney and H. E. Jørgensen, (2009). "The Influence of the Wind Speed Profile on Wind Turbine Performance Measurements", Wind Energy, vol. 12, pp. 348-362
    • (2009) Wind Energy , vol.12 , pp. 348-362
    • Wagner, R.1    Antoniou, I.2    Pedersen, S.M.3    Courtney, M.S.4    Jørgensen, H.E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.