Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm
Studies on power system stability are necessary for power network development & operation. Due to the great dimensionality and complexity of contemporary power systems, its significance has increased. The stability of an interconnected power system is seriously threatened by power system oscilla...
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Institute of Advanced Engineering and Science
2023
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| author | Kasilingam G. Pasupuleti J. Kasirajan S.K. Nagarathinam A. Natesan D. |
| author2 | 55812078500 |
| author_facet | 55812078500 Kasilingam G. Pasupuleti J. Kasirajan S.K. Nagarathinam A. Natesan D. |
| author_sort | Kasilingam G. |
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| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Studies on power system stability are necessary for power network development & operation. Due to the great dimensionality and complexity of contemporary power systems, its significance has increased. The stability of an interconnected power system is seriously threatened by power system oscillation. Numerous strategies based on contemporary control theory, intelligent control, and optimization methods have been applied to the Power system stabilizers (PSSs) design problem recently. Each categorization contains a number of design techniques that increase the PSS's effectiveness and sturdiness in damping off low frequency vibrations. This work presents a new Modified and Improved Biogeography-Based Optimization (MIBBO) method to increase the optimization effectiveness of the usual Biogeography-Based Optimization (BBO) technique applied for the optimization of the parameters of the PSSs & Proportional Integral Derivative (PID) controller under the non-linear loading (NLL) conditions. The performance parameters which are obtained by the MIBBO based controller are compared with the results of normal BBO Method, Particle Swarm Optimization method (PSO) and Adaptation Law (AL) method. To justify the success and correctness of the proposed control approach, Matlab simulation results-based study of all the above-mentioned techniques is made and reported. � 2022 Institute of Advanced Engineering and Science. All rights reserved. |
| format | Article |
| id | my.uniten.dspace-26624 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | my.uniten.dspace-266242023-05-29T17:35:56Z Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm Kasilingam G. Pasupuleti J. Kasirajan S.K. Nagarathinam A. Natesan D. 55812078500 11340187300 53872094100 56878749800 57226055792 Studies on power system stability are necessary for power network development & operation. Due to the great dimensionality and complexity of contemporary power systems, its significance has increased. The stability of an interconnected power system is seriously threatened by power system oscillation. Numerous strategies based on contemporary control theory, intelligent control, and optimization methods have been applied to the Power system stabilizers (PSSs) design problem recently. Each categorization contains a number of design techniques that increase the PSS's effectiveness and sturdiness in damping off low frequency vibrations. This work presents a new Modified and Improved Biogeography-Based Optimization (MIBBO) method to increase the optimization effectiveness of the usual Biogeography-Based Optimization (BBO) technique applied for the optimization of the parameters of the PSSs & Proportional Integral Derivative (PID) controller under the non-linear loading (NLL) conditions. The performance parameters which are obtained by the MIBBO based controller are compared with the results of normal BBO Method, Particle Swarm Optimization method (PSO) and Adaptation Law (AL) method. To justify the success and correctness of the proposed control approach, Matlab simulation results-based study of all the above-mentioned techniques is made and reported. � 2022 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T09:35:56Z 2023-05-29T09:35:56Z 2022 Article 10.52549/ijeei.v10i4.4269 2-s2.0-85146191841 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146191841&doi=10.52549%2fijeei.v10i4.4269&partnerID=40&md5=447b0759ead24c4a183b819742531457 https://irepository.uniten.edu.my/handle/123456789/26624 10 4 879 890 All Open Access, Gold Institute of Advanced Engineering and Science Scopus |
| spellingShingle | Kasilingam G. Pasupuleti J. Kasirajan S.K. Nagarathinam A. Natesan D. Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm |
| title | Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm |
| title_full | Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm |
| title_fullStr | Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm |
| title_full_unstemmed | Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm |
| title_short | Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm |
| title_sort | optimal design of damping control of oscillations in power system using power system stabilizers with novel improved bbo algorithm |
| url_provider | http://dspace.uniten.edu.my/ |