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Volumn , Issue , 2010, Pages 134-139

A novel method for optimal placing wind turbines in a wind farm using particle swarm optimization (PSO)

Author keywords

Optimization; Particle swarm optimization (PSO); Wind farm; Wind turbine

Indexed keywords

ELECTRICAL POWER; NOVEL METHODS; SIMULATED RESULTS; TOTAL COSTS; WIND FARM; WIND PARK;

EID: 79951598423     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPECON.2010.5697144     Document Type: Conference Paper
Times cited : (47)

References (8)
  • 5
    • 4544297625 scopus 로고    scopus 로고
    • Placement of wind turbines using genetic algorithms
    • DOI 10.1016/j.renene.2004.05.007, PII S0960148104001867
    • Grady SA and Hussaini MY, et al. Placement of wind turbines using genetic algorithms. Renewable Energy, 2005; 30 (2): 259-270. (Pubitemid 40273946)
    • (2005) Renewable Energy , vol.30 , Issue.2 , pp. 259-270
    • Grady, S.A.1    Hussaini, M.Y.2    Abdullah, M.M.3
  • 6
    • 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. Renewable Energy, 2007 ; 33 (2008) 1455-1460.
    • (2007) Renewable Energy , vol.33 , Issue.2008 , pp. 1455-1460
    • Marmidis, G.1    Lazarou, S.2    Pyrgioti, E.3
  • 8
    • 42249104927 scopus 로고    scopus 로고
    • An improved stochastic PSO with high exploration ability
    • X. Chen and Y. Li, "An improved stochastic PSO with high exploration ability," in Proc. IEEE Swarm Intell. Symp., May 2006, pp. 228-235.
    • Proc. IEEE Swarm Intell. Symp., May 2006 , pp. 228-235
    • Chen, X.1    Li, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.