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Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds
In this work, the numerical data related to wind turbine micrositing problem is presented. The data is acquired using the differential evolution algorithm (DEA) at different wind speeds. The data obtained through DEA include total dissipated power, cost per installation of unit turbine, and the effi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635204/ https://www.ncbi.nlm.nih.gov/pubmed/29034287 http://dx.doi.org/10.1016/j.dib.2017.09.040 |
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author | Massan, Shafiq-ur-Rehman Wagan, Asim Imdad Shaikh, Muhammad Mujtaba Shah, Muhammad Saleh |
author_facet | Massan, Shafiq-ur-Rehman Wagan, Asim Imdad Shaikh, Muhammad Mujtaba Shah, Muhammad Saleh |
author_sort | Massan, Shafiq-ur-Rehman |
collection | PubMed |
description | In this work, the numerical data related to wind turbine micrositing problem is presented. The data is acquired using the differential evolution algorithm (DEA) at different wind speeds. The data obtained through DEA include total dissipated power, cost per installation of unit turbine, and the efficiency of algorithm after installation of any particular number turbines; and are depicted versus number of turbines. The data provided in this paper can be used directly without having to spend weeks of computational time to simulate the results; and can readily be used for comparison with other existing (Massan et al. [1] and Rajper et al. [2], etc.) and forthcoming algorithms in future. |
format | Online Article Text |
id | pubmed-5635204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56352042017-10-13 Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds Massan, Shafiq-ur-Rehman Wagan, Asim Imdad Shaikh, Muhammad Mujtaba Shah, Muhammad Saleh Data Brief Engineering In this work, the numerical data related to wind turbine micrositing problem is presented. The data is acquired using the differential evolution algorithm (DEA) at different wind speeds. The data obtained through DEA include total dissipated power, cost per installation of unit turbine, and the efficiency of algorithm after installation of any particular number turbines; and are depicted versus number of turbines. The data provided in this paper can be used directly without having to spend weeks of computational time to simulate the results; and can readily be used for comparison with other existing (Massan et al. [1] and Rajper et al. [2], etc.) and forthcoming algorithms in future. Elsevier 2017-09-22 /pmc/articles/PMC5635204/ /pubmed/29034287 http://dx.doi.org/10.1016/j.dib.2017.09.040 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Massan, Shafiq-ur-Rehman Wagan, Asim Imdad Shaikh, Muhammad Mujtaba Shah, Muhammad Saleh Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds |
title | Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds |
title_full | Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds |
title_fullStr | Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds |
title_full_unstemmed | Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds |
title_short | Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds |
title_sort | numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635204/ https://www.ncbi.nlm.nih.gov/pubmed/29034287 http://dx.doi.org/10.1016/j.dib.2017.09.040 |
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