Artificial intelligent based damping controller optimization for the multimachine power system: a review

Power system oscillation is a major threat to the stability of an interconnected power system. The safe operation of a modern power system is largely related to the success of oscillation damping. However, damping controller development is a constraint-based multimodal optimization problem, which is...

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Main Authors:	Hannan, Muhammad Abdul, Islam, Naz Niamul, Mohamed, Azah, Lipu, Molla Shahadat Hossain, Ker, Pin Jern, Rashid, Muhammad Mahbubur, Shareef, Hussain
Format:	Article
Language:	English English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	TA177.4 Engineering economy TA2001 Plasma engineering. Applied plasma dynamics
Online Access:	http://irep.iium.edu.my/64815/ http://irep.iium.edu.my/64815/ http://irep.iium.edu.my/64815/ http://irep.iium.edu.my/64815/18/64815_Artificial%20intelligent%20based%20damping%20controller.pdf http://irep.iium.edu.my/64815/7/64815_Artificial%20intelligent%20based%20damping%20controller%20optimization_scopus.pdf http://irep.iium.edu.my/64815/12/64815_Artificial%20intelligent%20based%20damping%20controller%20optimization%20for%20the%20multimachine%20power%20system_WOS.pdf

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spelling	iium-648152019-03-13T06:09:15Z http://irep.iium.edu.my/64815/ Artificial intelligent based damping controller optimization for the multimachine power system: a review Hannan, Muhammad Abdul Islam, Naz Niamul Mohamed, Azah Lipu, Molla Shahadat Hossain Ker, Pin Jern Rashid, Muhammad Mahbubur Shareef, Hussain TA177.4 Engineering economy TA2001 Plasma engineering. Applied plasma dynamics Power system oscillation is a major threat to the stability of an interconnected power system. The safe operation of a modern power system is largely related to the success of oscillation damping. However, damping controller development is a constraint-based multimodal optimization problem, which is relatively difficult to resolve utilizing conventional optimization algorithms. This review presents a critical examination of different damping schemes and a stability analysis of a damping controller to solve these existing problems and enhance the performance of a multi-machine power system. This review also describes different approaches used to derive the objective function formulation. Consequently, a comprehensive review of the optimized objective functions and techniques are explained on the basis of their topologies, types, execution times, control difficulties, efficiencies, advantages, and disadvantages to develop intelligent damping controllers for the systems. Furthermore, the optimization strategies for the damping controller are reviewed along with the benefits and limitations, current issues and challenges, and recommendations. All the highlighted insights of this review will hopefully lead to increasing efforts toward the development of an advanced optimized damping controller for future high-tech multi-machine power systems. Institute of Electrical and Electronics Engineers Inc. 2018-07-13 Article PeerReviewed application/pdf en http://irep.iium.edu.my/64815/18/64815_Artificial%20intelligent%20based%20damping%20controller.pdf application/pdf en http://irep.iium.edu.my/64815/7/64815_Artificial%20intelligent%20based%20damping%20controller%20optimization_scopus.pdf application/pdf en http://irep.iium.edu.my/64815/12/64815_Artificial%20intelligent%20based%20damping%20controller%20optimization%20for%20the%20multimachine%20power%20system_WOS.pdf Hannan, Muhammad Abdul and Islam, Naz Niamul and Mohamed, Azah and Lipu, Molla Shahadat Hossain and Ker, Pin Jern and Rashid, Muhammad Mahbubur and Shareef, Hussain (2018) Artificial intelligent based damping controller optimization for the multimachine power system: a review. IEEE Access, 6. pp. 39574-39594. ISSN 2169-3536 E-ISSN 2169-3536 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8410879 10.1109/ACCESS.2018.2855681
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TA177.4 Engineering economy TA2001 Plasma engineering. Applied plasma dynamics
spellingShingle	TA177.4 Engineering economy TA2001 Plasma engineering. Applied plasma dynamics Hannan, Muhammad Abdul Islam, Naz Niamul Mohamed, Azah Lipu, Molla Shahadat Hossain Ker, Pin Jern Rashid, Muhammad Mahbubur Shareef, Hussain Artificial intelligent based damping controller optimization for the multimachine power system: a review
description	Power system oscillation is a major threat to the stability of an interconnected power system. The safe operation of a modern power system is largely related to the success of oscillation damping. However, damping controller development is a constraint-based multimodal optimization problem, which is relatively difficult to resolve utilizing conventional optimization algorithms. This review presents a critical examination of different damping schemes and a stability analysis of a damping controller to solve these existing problems and enhance the performance of a multi-machine power system. This review also describes different approaches used to derive the objective function formulation. Consequently, a comprehensive review of the optimized objective functions and techniques are explained on the basis of their topologies, types, execution times, control difficulties, efficiencies, advantages, and disadvantages to develop intelligent damping controllers for the systems. Furthermore, the optimization strategies for the damping controller are reviewed along with the benefits and limitations, current issues and challenges, and recommendations. All the highlighted insights of this review will hopefully lead to increasing efforts toward the development of an advanced optimized damping controller for future high-tech multi-machine power systems.
format	Article
author	Hannan, Muhammad Abdul Islam, Naz Niamul Mohamed, Azah Lipu, Molla Shahadat Hossain Ker, Pin Jern Rashid, Muhammad Mahbubur Shareef, Hussain
author_facet	Hannan, Muhammad Abdul Islam, Naz Niamul Mohamed, Azah Lipu, Molla Shahadat Hossain Ker, Pin Jern Rashid, Muhammad Mahbubur Shareef, Hussain
author_sort	Hannan, Muhammad Abdul
title	Artificial intelligent based damping controller optimization for the multimachine power system: a review
title_short	Artificial intelligent based damping controller optimization for the multimachine power system: a review
title_full	Artificial intelligent based damping controller optimization for the multimachine power system: a review
title_fullStr	Artificial intelligent based damping controller optimization for the multimachine power system: a review
title_full_unstemmed	Artificial intelligent based damping controller optimization for the multimachine power system: a review
title_sort	artificial intelligent based damping controller optimization for the multimachine power system: a review
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2018
url	http://irep.iium.edu.my/64815/ http://irep.iium.edu.my/64815/ http://irep.iium.edu.my/64815/ http://irep.iium.edu.my/64815/18/64815_Artificial%20intelligent%20based%20damping%20controller.pdf http://irep.iium.edu.my/64815/7/64815_Artificial%20intelligent%20based%20damping%20controller%20optimization_scopus.pdf http://irep.iium.edu.my/64815/12/64815_Artificial%20intelligent%20based%20damping%20controller%20optimization%20for%20the%20multimachine%20power%20system_WOS.pdf
first_indexed	2023-09-18T21:32:00Z
last_indexed	2023-09-18T21:32:00Z
_version_	1777412572688941056

Artificial intelligent based damping controller optimization for the multimachine power system: a review

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