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Performance evaluation of random search based methods on model-free wind farm control

This paper investigates the performance of Sequential Random Search (SRS), Fixed Step Size Random search (FSSRS), Optimized Relative Step Size Random Search (ORSSRS) and Adaptive Step Size Random Search (ASSRS) methods on maximizing offshore wind farms power production. The RS based methods are used...

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Main Authors: Mok Ren, Hao, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail, Ahmad Nor Kasruddin, Nasir
Format: Article
Language:English
Published: Springer Nature Singapore Pte Ltd. 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/21719/1/Performance%20Evaluation%20of%20Random.pdf
http://umpir.ump.edu.my/id/eprint/21719/
https://link.springer.com/chapter/10.1007/978-981-10-8788-2_60
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spelling my.ump.umpir.217192018-09-24T07:26:41Z http://umpir.ump.edu.my/id/eprint/21719/ Performance evaluation of random search based methods on model-free wind farm control Mok Ren, Hao Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail Ahmad Nor Kasruddin, Nasir TK Electrical engineering. Electronics Nuclear engineering This paper investigates the performance of Sequential Random Search (SRS), Fixed Step Size Random search (FSSRS), Optimized Relative Step Size Random Search (ORSSRS) and Adaptive Step Size Random Search (ASSRS) methods on maximizing offshore wind farms power production. The RS based methods are used to tune the control parameter of each turbine to its optimum until the wind farm total power production is maximized. The validation of this investigation is performed using the Horns Rev wind farm model with turbulence interaction between turbines. Simulation results show that Optimized Relative Step Size Random Search (ORSSRS) produces higher total power production as compared to other types of RS based methods. Springer Nature Singapore Pte Ltd. 2018-01-29 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21719/1/Performance%20Evaluation%20of%20Random.pdf Mok Ren, Hao and Mohd Ashraf, Ahmad and Raja Mohd Taufika, Raja Ismail and Ahmad Nor Kasruddin, Nasir (2018) Performance evaluation of random search based methods on model-free wind farm control. Intelligent Manufacturing & Mechatronics. pp. 657-670. ISSN 2195-4364 https://link.springer.com/chapter/10.1007/978-981-10-8788-2_60 10.1007/978-981-10-8788-2
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mok Ren, Hao
Mohd Ashraf, Ahmad
Raja Mohd Taufika, Raja Ismail
Ahmad Nor Kasruddin, Nasir
Performance evaluation of random search based methods on model-free wind farm control
description This paper investigates the performance of Sequential Random Search (SRS), Fixed Step Size Random search (FSSRS), Optimized Relative Step Size Random Search (ORSSRS) and Adaptive Step Size Random Search (ASSRS) methods on maximizing offshore wind farms power production. The RS based methods are used to tune the control parameter of each turbine to its optimum until the wind farm total power production is maximized. The validation of this investigation is performed using the Horns Rev wind farm model with turbulence interaction between turbines. Simulation results show that Optimized Relative Step Size Random Search (ORSSRS) produces higher total power production as compared to other types of RS based methods.
format Article
author Mok Ren, Hao
Mohd Ashraf, Ahmad
Raja Mohd Taufika, Raja Ismail
Ahmad Nor Kasruddin, Nasir
author_facet Mok Ren, Hao
Mohd Ashraf, Ahmad
Raja Mohd Taufika, Raja Ismail
Ahmad Nor Kasruddin, Nasir
author_sort Mok Ren, Hao
title Performance evaluation of random search based methods on model-free wind farm control
title_short Performance evaluation of random search based methods on model-free wind farm control
title_full Performance evaluation of random search based methods on model-free wind farm control
title_fullStr Performance evaluation of random search based methods on model-free wind farm control
title_full_unstemmed Performance evaluation of random search based methods on model-free wind farm control
title_sort performance evaluation of random search based methods on model-free wind farm control
publisher Springer Nature Singapore Pte Ltd.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21719/1/Performance%20Evaluation%20of%20Random.pdf
http://umpir.ump.edu.my/id/eprint/21719/
https://link.springer.com/chapter/10.1007/978-981-10-8788-2_60
_version_ 1643669197167788032
score 13.211869

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