Developing a package for analysis and design optimization of wind turbine systems
DOI:
https://doi.org/10.11121/ijocta.01.2019.00614Abstract
The installation of wind turbines and consequently the use of wind energy is increasing day by day, since the rapid development in semiconductor technology has led to more advance in the wind turbine technologies. On the other hand, it is well known that a Graphical User Interface (GUI) application provides great advantages to the user such as; the use of programming language and data input for systems without coding, getting the results with the help of symbols, icons and other visual graphics. Accordingly, in this paper, to determine the amount of energy production, cost of energy and etc., of a Wind Turbine System (WTS) that has been established or will be installed, a tool is introduced by the presented software package. Besides the analysis option, the package also offers optimization algorithms that would be used for the layout design of types of Wind Turbine Systems which are called fixed-speed and variable-speed Wind Turbine Systems seperately by keeping in consideration the wind speed and geographic features of the regions. The graphical user interface, which is the one of important features of C# program were used and called Analysis & Design Optimization Package (A&DOP).
Downloads
References
Depcik, C., & Assanis, D.N. (2005). Graphical User Interfaces in an Engineering Educational Environment. Computer Applications in Engineering Education, 13 (1), 48–59.
Gozel, T., Eminoglu, U., & Hocaoglu, M.H. (2008). A tool for Voltage Stability and Optimization (VS&OP) in Radial Distribution Systems Using Matlab Graphical User Interface (GUI). Simulation Modelling Practice and Theory, 16 (5), 505–518.
Dalibor, B., Kamil, V., Josef, C., & Tomas, D. (2000). General Three-Port Current Conveyor: A Useful Tool For Network Design. Journal of Electrical Engineering, 51 (1-2), 36-39.
Li, W., Vanfretti, L., & Chompoobutrgool, Y. (2012). Development and Implementation of Hydro Turbine and Governor Models in a Free and Open Source Software Package. Simulation Modelling Practice and Theory, 24, 84-102.
Ledion, B., & George, E. (2005). Pocket–PC Boolean Function Simplification. Journal of Electrical Engineering, 56 (7-8), 209-212.
The integrated Modular Wind Turbine Design Tool [Online]. Available from: http://www.wmc.eu. Accessed 15 December 2018.
Hassan, G. (2018). Wind farm design software, [Online]. Available from: http://www.glgarradhassan.com. Accessed 15 December 2018.
Wind data analyses software (WindRose) [Online]. Available from: http://www.windrose.gr. Accessed 15 December 2018.
Wind atlas analysis and application program [Online], Available from: http://www.wasp.dk. Accessed 15 December 2018.
Heier, S. (1998). Grid Integration of Wind Energy Conversion Systems. Wiley, New York.
Michalke, G., & Hansen, A.D. (2010). Modelling and Control of Variable Speed Wind Turbines for Power System Studies. Wind Energy, 13 (4), 307-322.
Fingersh, L., Hand, M., & Laxson, A. (2006). Wind Turbine Design Cost and Scaling Model. Technical Report, Golden, Colorado.
Diveux, T., Sebastian, P., Bernard, D., Puiggali, R.J., & Grandidier, J.Y. (2001). Horizontal Axis Wind Turbine Systems: Optimization Using Genetic Algorithms. Wind Energy, 4 (4), 151-171.
Eminoglu, U. (2016). Site Specific Design Optimization of Horizontal Axis Wind Turbine Systems. Turkish Journal of Electrical Engineering and Computer Sciences, 24, 1044-1060.
Fuglsang, P., & Bak, C. (2002). Site-Specific Design Optimization of Wind Turbines. Wind Energy, 5 (4), 261-279.
Eminoglu, U., & Ayasun, S. (2014). Modelling and Design Optimization of Variable-Speed Wind Turbine Systems. Energies, 7 (1), 402-419.
Kongam, C., & Nuchprayoon, S. (2010). A Particle Swarm Optimization for Wind Energy Control Problem. Renewable Energy, 35, 2431-2438.
Li, H., & Chen, Z. Design Optimization and Site Matching of Direct-Drive Permanent Magnet Wind Power Generator Systems. Renewable Energy, 34 (4), 1175–1184.
Carrillo, C., Obando Montano, A.F., & Diaz-Dorado, E. (2013). Review of Power Curve Modelling for Wind Turbines. Renewable and Sustainable Energy Reviews, 21, 572-581.
Thapar, V., Agnihotri, G., & Sethi, V.K. (2011). Critical Analysis of Methods for Mathematical Modelling of Wind Turbines. Renewable Energy, 36 (11), 3166-3177.
Akdag, S.A., & Guler, O. (2010). Comparison of Wind Turbine Power Curve Models. Proceedings of International Renewable Energy Congress, 215-219, Sousse, Tunisia.
Eminoglu, U. (2015). A New Model for Output Power Calculation of Variable-Speed Wind Turbine Systems. Proceedings of IEEE International Conference on ACEMP-OPTIM-ELECTROMOTION (ACEMP), 141-145.
Visual Studio Enterprise, Copyright ©2013.
Kennedy, J., & Eberhart, R.C. (1995). Particle Swarm Optimization, Proceedings of IEEE International Conference on Neural Networks, 1942-1946, Perth, WA, Australia.
Rainer, S., & Kenneth, P. (1997). Differential Evolution–A Simple and Efficient Heuristic for Global Optimization Over Continuous Spaces. Journal of Global Optimization, 11, 341-359.
Matlab Curve Fitting Tool, Matlab R2010b Enterprise: Copyright©2010.
Downloads
Published
How to Cite
Issue
Section
License
Articles published in IJOCTA are made freely available online immediately upon publication, without subscription barriers to access. All articles published in this journal are licensed under the Creative Commons Attribution 4.0 International License (click here to read the full-text legal code). This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available.
Under the Creative Commons Attribution 4.0 International License, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in IJOCTA, so long as the original authors and source are credited.
The readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
This work is licensed under a Creative Commons Attribution 4.0 International License.
