CHC and SA applied to wind energy optimization using real data

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Bilbao, Martín ^a   Alba, Enrique ^b  

^a UNIVERSIDAD NACIONAL DE LA PATAGONIA AUSTRAL   (Argentina)

^b UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARGENTINA; META HEURISTIC ALGORITHM; OUTPUT ENERGY; WIND CONDITIONS; WIND DISTRIBUTION; WIND FARM;

ARTIFICIAL INTELLIGENCE; ELECTRIC UTILITIES; FARMS; GENETIC ALGORITHMS; WIND POWER; WIND TURBINES;

SIMULATED ANNEALING;

EID: 79959451967     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586395     Document Type: Conference Paper

References (8)

1. J.F. Manwell, J.G. McGowan, and A.L. Rogers, Wind Energy Explained-Theory, Design and Application, 1st ed. , Reprint with correction, Jhon Wiley & Sons Ltd. ,2003, p.384 & p.44.
2. "http://www.eeolica.com.ar/"
3. M. Bilbao, E. Alba, "Simulated Annealing for Optimization of Wind Farm Annual Profits" - 2nd International Symposium on Logistics and Industrial Informatics, Linz, Austria. 2009.
4. H.S. Huang, "Distributed Genetic Algorithm for Optimization of Wind Farm Annual Profits". Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on Volume , Issue , 5-8 Nov. 2007 Page(s):1-6.
5. M. Bilbao, E. Alba, "CHC and PSO applied to Wind Energy Optimization" . CACIC, Jujuy, Argentina. 2009.
6. I. Katic, J. Hojstrup and N. O. Jensen, "A Simple Model for Cluster Efficiency", European Wind Energy Association Conference and Exhibition, Rome-Italy, pp. 407-410, 7-9 October 1986.
7. U. A. Ozturk and B. A. Norman, "Heuristic methods for wind energy conversion system positioning", Electric Power Systems Research, vol.70, pp. 179-185, 2004.
8. E. Alba, F. Almeida, M. Blesa, C. Cotta, M. Díaz, I. Dorta, J.Gabarró, C. León, G. Luque, J. Petit, C. Rodríguez, A. Rojas, F. Xhafa,"Efficient Parallel LAN/WAN Algorithms for Optimization. The MALLBA Project", Parallel Computing 32(5-6):415-440, 2006. (Pubitemid 44339520)