INTELECTUAL APPROACH TO THE DESIGN OF WIND ENERGY PLANT ROTOR PARAMETERS
DOI:
https://doi.org/10.18372/1990-5548.58.13514Keywords:
Vertical-axis rotor, genetic algorithm, wind turbine optimizationAbstract
It is considered a wind power plant rotor design problem for a rotor with vertical axis of rotation. It is proposed an approarch of efficiency improvement by combined rotor design, consisting of some basic rotors (Darrieus rotors) and some booster rotors (Savonius rotors), with further combined rotor structural parametric synthesis problem solution. This task represents the conditional multicriteria optimization problem, for solution of which it is proposed to use the modificated SPEA2 genetic algorithm. It’s proposed procedure of the fitness function construction. The given purpose is supplied with help of computer-aided design system.
References
Melanie Mitchell, An Introduction to Generic Algorithms, 1996, 155 p.
C A. Coello, An Empirical Study of Evolutionary Techniques for Multiobjective Optimization in Engineering Design. Kyiv: Naukova Dumka, 1996, 105 p.
V. B. Zvonkov, “Comparative research of genetic algorithms and covey algorithm of optimization,” SibGAU Krasnoyarsk, 2012, pp. 786–797. (in Russian) [Online] http://www.ssc.smr.ru/media/ipuss_conf/14/7_14.pdf
J. Horn, N. Nafpliotis, and D. E. Goldberg, “A niched Pareto genetic algorithm for multiobjective optimization,” іn Proceedings of the First IEEE Conference on Evolutionary Computation, vol. 1, Piscataway, 1994, pp. 82–87.
Lu Zhenyu, Wu Xindong, Zhu Xingquan, and Josh Bongard, “Ensamble Pruning via Individual Contribution Ordering,” Department of Computer Science University of Vermont, Burlington. NSW. 2007, pp. 635–745.
E. Zitzler, M. Laumanns, and L. Thiele, “SPEA2: Improving the Performance of the Strength Pareto Evolutionary Algorithm,” in Technical Report 103, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology ETH) Zurich. 2001, pp. 236–296.
V. А. Golovko, Neural networks: educating, organization and application. Мoscow: IPRZHR, 2001, 256 p. (Series are "Neurocomputers and their application," Book 4). (in Russian)
V. V. Kruglov, M. I. Dli, R. Yu. Golunov, Fuzzy logic and artificial neural networks, Мoscow: Fizmatlit, 2001, 221 p. (in Russian)
R. S. Satton, Educating with a reinforcement. Мoscow: BINOM. Laboratory of knowledge, 2012, 399 p. (in Russian)
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