Power production optimization of model-free wind farm using smoothed functional algorithm

R., Mok and M. A., Ahmad (2022) Power production optimization of model-free wind farm using smoothed functional algorithm. In: Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering , 23 August 2021 , Kuantan, Malaysia. pp. 679-689., 842. ISBN 978-981168689-4

[img]
Preview
Pdf
Power production optimization of model-free.pdf

Download (131kB) | Preview

Abstract

The current study investigates the performance of Smoothed Functional Algorithm (SFA) based method towards the maximization of total power output by wind farms. The SFA based method was specifically analyzed using the Horns Rev Offshore Wind Farm consisting of 80 wind turbines as the designing groundwork. Whereby, the SFA based method is used to optimize the control parameter of each wind turbine such that the total power production of wind farm is maximized. Eventually, the obtained results have further revealed SFA based method as an efficacious optimization approach towards enhancing wind farm performance, in terms of a shorter convergence interval, greater precision and increased power maximization.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Model-free; Power production; Renewable energy; Smoothed Functional Algorithm; Stochastic search; Wind farm optimization
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 11 Nov 2022 04:24
Last Modified: 11 Nov 2022 04:24
URI: http://umpir.ump.edu.my/id/eprint/34311
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item