Numerical data for wind turbine micrositing inspired by human dynasties by use of the Dynastic Optimization Algorithm (DOA)

Resumen

This work presents the newly formulated Dynastic Optimization Algorithm, DOA as applied to the wind turbine micrositing problem. The data is acquired by the use of the standard MATLAB software at a wind speed of 12 m/s. The values of the efficiency of the algorithm, cost per installation of per unit turbine, and total dissipated power at each number of turbines installed are discussed. This algorithm is applied to two test functions and the results are described therein. It has been welldemonstrated that the proposed DOA exhibits superior performance over GA and DEA for test functions by hitting the minima very often and with higher precision. On the other hand DOA performance on WTM problem is also encouraging.

Biografía del autor

Shafiq-ur-Rehman Massan, Mohammad Ali Jinnah University, Karachi and Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi, (Pakistan).

QEC and Coordination Mohammad Ali Jinnah University, Karachi and Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi, (Pakistan).

Asim Imdad Wagan, Mohammad Ali Jinnah University, Karachi, (Pakistan).

Department of Engineering Mohammad Ali Jinnah University, Karachi, (Pakistan).

Muhammad Mujtaba Shaikh, Mehran University of Engineering and Technology, Jamshoro, (Pakistan).

Department of Basic Sciences and Related Studies Mehran University of Engineering and Technology, Jamshoro, (Pakistan).

Publicado
2020-06-15
Cómo citar
Massan, S.- ur-R., Wagan, A., & Shaikh, M. (2020). Numerical data for wind turbine micrositing inspired by human dynasties by use of the Dynastic Optimization Algorithm (DOA). 3C Tecnología. Glosas De Innovación Aplicadas a La Pyme, 9(2), 71-85. Recuperado a partir de http://ojs.3ciencias.com/index.php/3c-tecnologia/article/view/1026