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A particle swarm optimization for wind energy control problem

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  • Kongnam, C.
  • Nuchprayoon, S.

Abstract

The control problem of a wind turbine involves the determination of rotor speed and tip-speed ratio to maximize power and energy capture from the wind. The problem can be formulated as a nonlinear programming problem with the annual energy generation as the objective function. The wind speed distribution is modeled as the Weibull distribution. The Weibull shape and scale parameters are assigned to be stochastic in response to limited wind data and variability nature of the wind. It is proposed to apply particle swarm optimization to solve for optimum rotor speed under fixed-speed operation and optimum tip-speed ratio under variable-speed operation. The optimum rotor speed varies with the wind speed distribution, while the optimum tip-speed ratio does not depend on the wind speed distribution. It can be concluded from the simulation results that both the wind power and energy are more dependent of the Weibull scale parameter than the Weibull shape parameter. This implies that the wind power and energy are more dependent of the mean wind speed than the speed distribution.

Suggested Citation

  • Kongnam, C. & Nuchprayoon, S., 2010. "A particle swarm optimization for wind energy control problem," Renewable Energy, Elsevier, vol. 35(11), pages 2431-2438.
  • Handle: RePEc:eee:renene:v:35:y:2010:i:11:p:2431-2438
    DOI: 10.1016/j.renene.2010.02.020
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    1. van Alphen, Klaas & van Sark, Wilfried G.J.H.M. & Hekkert, Marko P., 2007. "Renewable energy technologies in the Maldives--determining the potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(8), pages 1650-1674, October.
    2. Jamil, M. & Parsa, S. & Majidi, M., 1995. "Wind power statistics and an evaluation of wind energy density," Renewable Energy, Elsevier, vol. 6(5), pages 623-628.
    3. Weisser, D, 2003. "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, Elsevier, vol. 28(11), pages 1803-1812.
    4. Ahmed Shata, A.S. & Hanitsch, R., 2006. "Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt," Renewable Energy, Elsevier, vol. 31(8), pages 1183-1202.
    5. Chang, Tsang-Jung & Wu, Yu-Ting & Hsu, Hua-Yi & Chu, Chia-Ren & Liao, Chun-Min, 2003. "Assessment of wind characteristics and wind turbine characteristics in Taiwan," Renewable Energy, Elsevier, vol. 28(6), pages 851-871.
    6. Ahmed, H.K & Abouzeid, M, 2001. "Utilization of wind energy in Egypt at remote areas," Renewable Energy, Elsevier, vol. 23(3), pages 595-604.
    7. Lu, Lin & Yang, Hongxing & Burnett, John, 2002. "Investigation on wind power potential on Hong Kong islands—an analysis of wind power and wind turbine characteristics," Renewable Energy, Elsevier, vol. 27(1), pages 1-12.
    8. Montes, Germán Martínez & Martín, Enrique Prados, 2007. "Profitability of wind energy: Short-term risk factors and possible improvements," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(9), pages 2191-2200, December.
    9. Kongnam, C. & Nuchprayoon, S. & Premrudeepreechacharn, S. & Uatrongjit, S., 2009. "Decision analysis on generation capacity of a wind park," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2126-2133, October.
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    9. Carneiro, Tatiane C. & Melo, Sofia P. & Carvalho, Paulo C.M. & Braga, Arthur Plínio de S., 2016. "Particle Swarm Optimization method for estimation of Weibull parameters: A case study for the Brazilian northeast region," Renewable Energy, Elsevier, vol. 86(C), pages 751-759.
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