ROTOR PARAMETER OPTIMIZATION OF WIND TURBINE

V. M. Sineglazov

Abstract


The optimization criteria of wind turbines rotors are determined. It is proposed the hybridscheme based on multicriteria genetic algorithm and Pareto’s local descent for the solution of givenproblem

Keywords


Wind turbine; rotor; multicriteria optimization genetic algorithm; Pareto’s local descent

References


A. Lipej and С. Poloni, “Design of Kaplan runner using multiobjective genetic algorithm optimization”. J. of Hydraulic Research. 2000. vol. 38. pp. 73–77.

Y. Enomoto, S. Kurosawa, and T. Suzuki, “Design optimization of Francis turbine runner using multiobjective genetic algorithm”. Proc. of 22nd IAHR Symp. on Hydraulic Machinery and Systems. 2004.

F. Mazzouji, M. Francois, L. Tomas et al. “Refinements in Francis turbine design”, Hydropower & Dams. 2004. Issue one. pp. 53–58.

C. Favaretto, K. Funazaki, and T. Tanuma, “The development of a genetic algorithm code for secondary flow injection optimization in axial turbines”. Proc. of the Intern. Gas Turbine Congress. Tokyo, Nov. 2003.

Panteleev А. V., and Т. А. Letova, Optimization methods in examples and problems: A manual, Moscow: Vyschaya shkola, 2002, 544 p.

E. N. Bondarev, V. T. Dubasov, Yu. A. Ryzhov, and etc. Aerohydrodynamics: Textbook for students of higher technical educational institutions. Moscow: Mashinostroenie, 1993, 608 p.

G. A. Kolesnikov, V. K. Markov, A. A. Mikhaylyuk, and etc. Aerodynamics of aircraft: textbook for high schools, Moscow: Mashinostroenie, 1993, 544 p.

N. F. Krasnov, E. E. Borovskiy, and A. I. Khlupnov, Fundamentals of Applied aerogasdynamics. In 2 books. Book 1. The aerodynamics of the wing (Profile), housing, and combinations thereof: Textbook for students of higher technical educational institutions. Moscow: Vyschaya shkola, 1990, 336 p.

N. F. Krasnov, V. N. Koshevoy, V. F. Zakharchenko and etc. Fundamentals of Applied aerogasdynamics. In 2 books. Book 2. Flow around bodies of a viscous liquid. steering devices: Textbook for higher technical schools. Moscow: Vyschaya shkola, 1991, 358 p.

K. P. Petrov, Aerodynamics bodies simplest forms. Moscow: Faktorial, 1998, 432 p.

D. I. Batishchev, Genetic algorithms for solving extreme problems. A manual, Voronezh: Voronezh State Technical University, 1995, 69 p.

S. A. Isaev, Popularly about the Genetic Algorithms. URL: http://saisa.chat.m/ga/ga-pop.html#top

V. M. Kureychik, Genetic Algorithms. Taganrog: Publishing House ТGRU, 1998, 242 p.

V. Red'ko, Applied evolutionary modeling. Genetic Algorithm. Evaluating the effectiveness of the genetic algorithm. URL:http://www.keldysh.ru/ BioCvber/Lecturel 0.html.

A. Starikov, BaseGroup Labs. Genetic algorithms - mathematical apparatus. URL: http://vyww. basegroup.ru/genetic/rnath.htrri.

Kelvin Maki. (2012, July). “System design of a wind turbine using a multi-level optimization approach”, Renewable Energy [Online]. vol. 43, pp 101–110. http://www.sciencedirect.com/science/journal/096014 81/43.

D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.

E. Zitzler, and L. Thiele, “Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach”. IEEE Transactions on Evolutionary Computation, vol. 3, no. 4, pp. 257–271, 1999.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.