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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English English |
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Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: | 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 |
| _version_ | 1848786284337692672 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:06:35Z |
| format | Article |
| id | iium-64815 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T17:06:35Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | 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 |
| topic | TA177.4 Engineering economy TA2001 Plasma engineering. Applied plasma dynamics |
| 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 |