Optimization of a small passive wind turbine generator with multiobjective genetic algorithms

International Journal of Applied Electromagnetics and Mechanics

Volumn 26, Issue 3-4, 2007, Pages 175-182

  Abdelli, A ^a   Sareni, B ^a   Roboam, X ^a  

^a CNRS   (France)

Author keywords

Genetic algorithms; Multiobjective optimization; Vertical axis wind turbine; Wind energy

Indexed keywords

ENERGY EFFICIENCY; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; WIND POWER;

MPPT CONTROL DEVICES; MULTIOBJECTIVE GENETIC ALGORITHMS; VERTICAL AXIS WIND TURBINE; WIND TURBINE GENERATOR;

WIND TURBINES;

EID: 34548825954     PISSN: 13835416     EISSN: None     Source Type: Journal    
DOI: 10.3233/jae-2007-906     Document Type: Conference Paper

References (6)

1. A. Mirecki, X. Roboam and F. Richardeau, Comparative study of maximum power strategy in wind turbines, IEEE International Symposium on Industrial Electronics 2 (May 2004), 993-998, Ajaccio, France.
2. th Conference on Power Electronics and Variable Speed Drives, Publication IEE Conference Pulication no. 475, 2000, 114-119.
3. G. Slemon and X. Liu, Modeling and design optimization of permanent magnet motors, Electrical Machines and Power Systems 20 (1992), 71-92.
4. B. Sareni, J. Régnier and X. Roboam, Integrated Design of Heterogeneous Electrical Energetic Systems using Multiob-jective Genetic Algorithms, Int Review of Electrical Engineering 1(1) (2006), 112-129.
5. K. Deb, S. Agrawal, A. Pratab and T. Meyarivan, A fast-elitist non-dominated sorting genetic algorithm for multiobjective optimization: NSGA-II, Proceeding of the Parallel Problem Solving from Nature VI Conference, Athens, Greece, 2000, 849-858.
6. B. Sareni, J. Régnier and X. Roboam, Recombination and Self-Adaptation in Multi-objective Genetic Algorithms, Lecture Notes in Computer Science 2936 (2004), 115-126.