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Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production

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 resp...

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Main Authors: Mohd Ashraf, Ahmad, Jui, Julakha Jahan, Mohd Riduwan, Ghazali
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42113/1/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/42113/2/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm%20for%20maximizing%20wind%20farm%20power%20production_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42113/
https://doi.org/10.1109/UPEC55022.2022.9917785
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spelling my.ump.umpir.421132024-09-30T04:47:23Z http://umpir.ump.edu.my/id/eprint/42113/ Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production Mohd Ashraf, Ahmad Jui, Julakha Jahan Mohd Riduwan, Ghazali T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering 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. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42113/1/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/42113/2/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm%20for%20maximizing%20wind%20farm%20power%20production_ABS.pdf Mohd Ashraf, Ahmad and Jui, Julakha Jahan and Mohd Riduwan, Ghazali (2022) Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production. In: 2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings. 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 , 30 August - 2 September 2022 , Istanbul. pp. 1-4.. ISBN 978-166545505-3 (Published) https://doi.org/10.1109/UPEC55022.2022.9917785
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Mohd Ashraf, Ahmad
Jui, Julakha Jahan
Mohd Riduwan, Ghazali
Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
description 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.
format Conference or Workshop Item
author Mohd Ashraf, Ahmad
Jui, Julakha Jahan
Mohd Riduwan, Ghazali
author_facet Mohd Ashraf, Ahmad
Jui, Julakha Jahan
Mohd Riduwan, Ghazali
author_sort Mohd Ashraf, Ahmad
title Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
title_short Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
title_full Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
title_fullStr Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
title_full_unstemmed Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
title_sort using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42113/1/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/42113/2/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm%20for%20maximizing%20wind%20farm%20power%20production_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42113/
https://doi.org/10.1109/UPEC55022.2022.9917785
_version_ 1822924686392033280
score 13.2324915

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