A new tool for wind farm optimal design

2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future

Volumn , Issue , 2009, Pages

  González, J Serrano ^a   Rodríguez, Á G González ^b   Mora, J Castro ^c   Santos, J Riquelme ^a   Payán, M Burgos ^a  

^a UNIVERSIDAD DE SEVILLA   (Spain)

^b UNIVERSITY OF JAÉN   (Spain)

^c Persan   (Spain)

Author keywords

Evolutive algorithm; Genetic algorithm; Optimization; Wind farms

Indexed keywords

ANALYTIC FUNCTIONS; AUXILIARY COSTS; CAPITAL INVESTMENT; CASH FLOW; GENETIC-ALGORITHM OPTIMIZATIONS; GEOGRAPHICAL POSITIONS; NET PRESENT VALUE; NEW TOOLS; OPTIMAL DESIGN; POWER-LOSSES; TOWER FOUNDATIONS; WIND FARM;

ALGORITHMS; ECONOMICS; ELECTRIC UTILITIES; FARMS; OPTIMAL SYSTEMS; OPTIMIZATION; PROFITABILITY; TOWERS; WIND POWER;

INVESTMENTS;

EID: 74949083494     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2009.5281977     Document Type: Conference Paper

References (17)

1. G. Mosetti, C. Poloni, and B. Diviacco, "Optimization of wind turbine positioning in large wind farms by means of a genetic algorithm", Journal of Wind Engineering and Industrial Aerodynamics, vol. 51, pp. 105-116, 1994.
2. U. Ozturk and B. Norman, "Heuristic methods for wind energy conversion system positioning", Electric Power Systems Research, vol. 70, no. 3, pp. 179-185, August 2004.
3. S. A. Grady, M. Y. Hussaini, and M. M. Abdullah, "Placement of wind turbines using genetic algorithms", Renewable Energy, vol. 30, no. 2, pp. 259-270, Feb. 2005.
4. S. Heier, "Grid integration of wind energy conversion systems", John Wiley and Sons, 1998.
5. N. Jenkins, "Electrical Design of Wind Farms", Proc. IEEE/NTUA Athens Power Tech Conference, Athens, Greece, pp. 990-994, Sep. 5-8, 1993.
6. N. Jenkins, "Engineering Wind Farms", Power Engineering Journal, pp. 53-60, April, 1993.
7. T. Burton, D. Sharpe, N. Jenkins, and E. Bossanyi, Wind Energy Handbook. John Wiley $ Sons, 2001.
8. R. Spillman, "Genetic algorithms, nature's way to search for the best". Dr. Dobb's J 1993:26-30.
9. J.J. Grefenstette, "Optimization of Control Parameters for Genetic Algorithms", IEEE Trans. On Systems Man, and Cybernetics, vol. SMC-16, pp. 122-128, January/February 1986.
10. D. Goldberg, Genetic algorithms in search, optimization and learning. Addisson-Wesley Pub. Co. Inc, 1989.
11. A M. Junginger, A. Faaij, W.C. Turkenburg, "Cost reduction prospects for offshore wind farms", Wind Engineering Volume 28, No. 1, 2004, pp. 97-118.
12. I. Katic, J. Høstrup, and N.O.Jensen, "A simple model for cluster efficiency", in EWEC'86, Rome, 1986.
13. S. Frandsen, R. Barthelmie, S. Pryor, O. Rathmann, S. Larsen, J. Højstrup, and M. Thøgersen, "Analytical modelling of wind speed deficit in large offshore wind farms", Wind Energy, vol. 9, no. 1, pp. 39-53, Jan. 2006.
14. S. T. Frandsen, "Turbulence and turbulencegenerated structural loading in wind turbine clusters", Ph.D. dissertation, Technical University of Denmark, January 2007.
15. A. Crespo, J. Hernández, and S. Frandsen, "Survey of modelling methods for wind turbine wakes and wind farms", Wind Energy, vol. 2, pp. 1-24, 1999.
16. Á. G. González Rodríguez, "Improvement of a fixed-speed wind turbine soft-starter based on a sliding-mode control" PhD., Escuela Superior de Ingenieros, Universidad de Sevilla, mayo 2006, available on-line at http://www4.ujaen.es/~agaspar/Thesis.
17. Á. G. González Rodríguez, A. González Rodríguez, M. Burgos Payán, "Estimating wind turbines mechanical constants", International Conference on Renewable Energy and Power Quality - ICREPQ'07, Sevilla, March de 2007.