An Efficient 3D Simulator for Optimal Wind Farm Modelling and Simulation using Particle Swarm Optimization (PSO) Algorithm

  • Muhammad Rashid Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
  • Rabia Shakoor Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
  • Abdur Raheem Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.

Abstract

Wind Farm Layout Optimization (WFLO) is essential to meet power demand and expenditures. In recent years, Wind Farm Optimization (WFO) has received much more attention. Wind turbines extract the energy from wind, the rotation of wind turbine rotor reduces the wind speed behind it and swirls the air flow that is called wake effect. Therefore, optimal modelling of wind farm layout to decline wake effect is a key challenge. The current study presents a 3D simulator for the simulation of optimal wind farm layout with different hub heights of turbines as well as same hub heights of turbines in a continuous space of × by implementing Particle Swarm Optimization (PSO) algorithm based on Frandsen’s wake model. The PSO algorithm is used to find the best position of turbines while Frandsen’s wake model is used to measure velocity deviation. It is examined that power generation of 42 wind turbines having 80 meters hub height at a wind speed of 8 m/s is 46.65903 MW, while the same number of turbines having different hub height generates 55.48799 MW. Furthermore, it is also observed that power generation of 42 turbines having 60 meters hub height is 26.57688 MW. The proposed simulator offers accessibility to the user by providing efficient 3D simulations according to their design parameters. The effect of wake meandering also reduces the power output and increases the cost of farm.

Published
Oct 1, 2021
How to Cite
RASHID, Muhammad; SHAKOOR, Rabia; RAHEEM, Abdur. An Efficient 3D Simulator for Optimal Wind Farm Modelling and Simulation using Particle Swarm Optimization (PSO) Algorithm. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 40, n. 4, p. 809 - 823, oct. 2021. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/2279>. Date accessed: 27 oct. 2021. doi: http://dx.doi.org/10.22581/muet1982.2104.10.
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License