z-logo
open-access-imgOpen Access
Optimization of wind turbine placement using a viral based optimization algorithm
Author(s) -
Carlos M. Ituarte-Villarreal,
José Espiritu
Publication year - 2011
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2011.08.087
Subject(s) - computer science , matlab , wind power , turbine , position (finance) , optimization algorithm , wind speed , algorithm , mathematical optimization , electrical engineering , aerospace engineering , mathematics , meteorology , engineering , physics , finance , economics , operating system
In the present research, a new viral based optimization algorithm is used to find the optimal solution to wind turbine placement problems considering constant wind speed and unidirectional uniform wind. In this study, a MATLAB based program is developed to search the optimal number and position of wind turbines in large wind farms with the objective of minimizing the total cost per unit of power produced from the wind park. The results obtained by the proposed algorithm are compared with results from previous studies

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom