Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power

Mohd Ashraf, Ahmad and Jui, Julakha Jahan and Mohd Riduwan, Ghazali (2022) Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power. In: 2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings , 30 August-2 September 2022 , Istanbul. pp. 1-4. (183656). ISBN 978-166545505-3

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Abstract

This research presents a model-free strategy for increasing wind farm power generation based on the Adaptive Safe Experimentation Dynamics Algorithm (ASEDA). The ASEDA method is an improved version of the Safe Experimentation Dynamics (SED) algorithm that modifies the current tuning variable to respond to the changes in the objective function. The convergence accuracy is predicted to be enhanced further by adding the adaptive element to the modified SED equation. The ASEDA-based technique is used to determine the ideal control parameter for each turbine to maximize a wind farm's total power generation. A single single-row wind farm prototype with turbulence coupling among turbines is employed to validate the proposed approach. Simulation findings show that the ASEDA-based approach provides more total power generation than the original SED technique.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Power generation; Renewable energy; Safe experimentation dynamics; Wind farm
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	28 Nov 2023 01:51
Last Modified:	28 Nov 2023 01:51
URI:	http://umpir.ump.edu.my/id/eprint/39403
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