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

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: Hao, Mok Ren, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail, Ahmad Nor Kasruddin, Nasir
Format: Book Section
Language:English
English
Published: Springer Singapore 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/21638/
http://umpir.ump.edu.my/id/eprint/21638/
http://umpir.ump.edu.my/id/eprint/21638/
http://umpir.ump.edu.my/id/eprint/21638/1/book43.%20Performance%20Evaluation%20of%20Random%20Search%20Based%20Methods.pdf
http://umpir.ump.edu.my/id/eprint/21638/2/book43.1%20Performance%20Evaluation%20of%20Random%20Search%20Based%20Methods.pdf
id ump-21638
recordtype eprints
spelling ump-216382018-08-06T08:30:15Z http://umpir.ump.edu.my/id/eprint/21638/ Performance evaluation of random search based methods on model-free wind farm control Hao, Mok Ren 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 Singapore 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21638/1/book43.%20Performance%20Evaluation%20of%20Random%20Search%20Based%20Methods.pdf pdf en http://umpir.ump.edu.my/id/eprint/21638/2/book43.1%20Performance%20Evaluation%20of%20Random%20Search%20Based%20Methods.pdf Hao, Mok Ren 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. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 657-670. ISBN 9789811087875 https://link.springer.com/chapter/10.1007%2F978-981-10-8788-2_60 DOI: 10.1007/978-981-10-8788-2_60
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Hao, Mok Ren
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 Book Section
author Hao, Mok Ren
Mohd Ashraf, Ahmad
Raja Mohd Taufika, Raja Ismail
Ahmad Nor Kasruddin, Nasir
author_facet Hao, Mok Ren
Mohd Ashraf, Ahmad
Raja Mohd Taufika, Raja Ismail
Ahmad Nor Kasruddin, Nasir
author_sort Hao, Mok Ren
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 Singapore
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21638/
http://umpir.ump.edu.my/id/eprint/21638/
http://umpir.ump.edu.my/id/eprint/21638/
http://umpir.ump.edu.my/id/eprint/21638/1/book43.%20Performance%20Evaluation%20of%20Random%20Search%20Based%20Methods.pdf
http://umpir.ump.edu.my/id/eprint/21638/2/book43.1%20Performance%20Evaluation%20of%20Random%20Search%20Based%20Methods.pdf
first_indexed 2023-09-18T22:31:50Z
last_indexed 2023-09-18T22:31:50Z
_version_ 1777416337436442624

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