Multi-objective genetic algorithm based innovative wind farm layout optimization method
- 1 November 2015
- journal article
- Published by Elsevier BV in Energy Conversion and Management
- Vol. 105, 1318-1327
- https://doi.org/10.1016/j.enconman.2015.09.011
Abstract
No abstract availableKeywords
Funding Information
- Frank H. Dotterweich College of Engineering at Texas A&M University-Kingsville
This publication has 28 references indexed in Scilit:
- Empirical investigation on using wind speed volatility to estimate the operation probability and power output of wind turbinesEnergy Conversion and Management, 2012
- 2011 Wind Technologies Market ReportPublished by Office of Scientific and Technical Information (OSTI) ,2012
- Wind energy conversion with a variable-ratio gearbox: design and analysisRenewable Energy, 2011
- FACTORIAL ANALYSIS OF SELECTED FACTORS AFFECTING THE ELECTRICITY PRODUCTION OF ONSHORE WIND FARMSInternational Journal of Energy for a Clean Environment, 2011
- Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern MediterraneanApplied Energy, 2010
- Uncertainty analysis of wind energy potential assessmentApplied Energy, 2010
- Wind energy potential assessment in Naxos Island, GreeceApplied Energy, 2010
- A joint probability density function of wind speed and direction for wind energy analysisEnergy Conversion and Management, 2008
- Aerostructural Shape Optimization of Wind Turbine Blades Considering Site-Specific WindsPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2008
- Design of a maximum power tracking system for wind-energy-conversion applicationsIEEE Transactions on Industrial Electronics, 2006