Design of wind farm layout with non-uniform turbines using fitness difference based BBO

Bansal, Jagdish Chand and Farswan, Pushpa and Nagar, Atulya K. (2018) Design of wind farm layout with non-uniform turbines using fitness difference based BBO. Engineering Applications of Artificial Intelligence. ISSN 0952-1976 (Accepted for Publication)

[img] Text
WFL with non-uniform turbines.pdf - Accepted Version
Restricted to Repository staff only until 31 May 2020.

Download (1MB) | Request a copy
Official URL: https://www.journals.elsevier.com/engineering-appl...

Abstract

Biogeography-based optimization (BBO) is an emerging meta-heuristic algorithm. BBO is inspired from the migration of species from one island to another. This study presents the solution of the wind farm layout optimization problem with wind turbines having non-uniform hub heights and rotor radii using BBO and an improved version of BBO. This study proposes an improved version of BBO, Fitness Difference Based BBO (FD-BBO). FD-BBO is obtained by incorporating the concept of fitness differences in original BBO. First, in order to justify the superiority of FD-BBO over BBO, it is tested over $15$ standard test problems of optimization. The numerical results of FD-BBO are compared with the original version of BBO and an advanced version of BBO, Blended BBO (BBBO). Through graphical and statistical analyses, FD-BBO is established to be an efficient and accurate algorithm. The BBO, BBBO and FD-BBO are than applied to solve the wind farm layout optimization problem. In the considered problem, not only the location of the wind turbines but hub heights and rotor radii are also taken as decision variables. Two cases of the problems are dealt: $26$ turbines in the farm size of $2000m$ $\times$ $2000m$ and $30$ turbines in the farm size of $2000m$ $\times$ $2000m$. Numerical results are compared with earlier published results and that of original BBO and Blended BBO. It is found that FD-BBO is the better approach to solving the problem under consideration.

Item Type: Article
Additional Information and Comments: NOTICE: this is the author’s version of a work that was accepted for publication in Engineering Applications of Artificial Intelligence. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The final, definitive version will be published at https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence/
Keywords: Wind farm layout, Wind turbine, Hub height, Rotor radius, Biogeography-based optimization, Fitness difference
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Atulya Nagar
Date Deposited: 02 Mar 2018 14:15
Last Modified: 02 Mar 2018 14:15
URI: http://hira.hope.ac.uk/id/eprint/2392

Actions (login required)

View Item View Item