Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach
This study proposes a multi-objective-based swarm intelligence method to improve angle stability. An optimization operation with single objective function only improves the performance of one perspective and ignores the other. The combination of two objective functions which derived from real and im...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Accent Social and Welfare Society
2021
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/32369/ http://umpir.ump.edu.my/id/eprint/32369/1/Design%20of%20optimal%20multi-objective-based%20facts%20component.pdf |
| _version_ | 1848824004081614848 |
|---|---|
| author | Khawaja, Abdul Waheed Nor Azwan, Mohamed Kamari Ismail, Musirin Mohd Asyraf, Zulkifley Muhamad Zahim, Sujod |
| author_facet | Khawaja, Abdul Waheed Nor Azwan, Mohamed Kamari Ismail, Musirin Mohd Asyraf, Zulkifley Muhamad Zahim, Sujod |
| author_sort | Khawaja, Abdul Waheed |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This study proposes a multi-objective-based swarm intelligence method to improve angle stability. An optimization operation with single objective function only improves the performance of one perspective and ignores the other. The combination of two objective functions which derived from real and imaginary components of eigenvalue are able to provide better performance beyond the optimization capabilities of single objective function. Tested using MATLAB, the simulation is performed using a single machine attached to the infinite bus (SMIB) system equipped with static var compensator (SVC) that attached with PID controller (SVC-PID). The objective of this experiment is to explore the excellent parameters in SVC-PID to produce a more stable system. In addition to the comparison of objective functions, this study also compares particle swarm optimization (PSO) capabilities with evolutionary programming (EP) and artificial immune system (AIS) techniques. |
| first_indexed | 2025-11-15T03:06:08Z |
| format | Article |
| id | ump-32369 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:06:08Z |
| publishDate | 2021 |
| publisher | Accent Social and Welfare Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-323692021-11-10T04:31:33Z http://umpir.ump.edu.my/id/eprint/32369/ Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach Khawaja, Abdul Waheed Nor Azwan, Mohamed Kamari Ismail, Musirin Mohd Asyraf, Zulkifley Muhamad Zahim, Sujod TK Electrical engineering. Electronics Nuclear engineering This study proposes a multi-objective-based swarm intelligence method to improve angle stability. An optimization operation with single objective function only improves the performance of one perspective and ignores the other. The combination of two objective functions which derived from real and imaginary components of eigenvalue are able to provide better performance beyond the optimization capabilities of single objective function. Tested using MATLAB, the simulation is performed using a single machine attached to the infinite bus (SMIB) system equipped with static var compensator (SVC) that attached with PID controller (SVC-PID). The objective of this experiment is to explore the excellent parameters in SVC-PID to produce a more stable system. In addition to the comparison of objective functions, this study also compares particle swarm optimization (PSO) capabilities with evolutionary programming (EP) and artificial immune system (AIS) techniques. Accent Social and Welfare Society 2021-02 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32369/1/Design%20of%20optimal%20multi-objective-based%20facts%20component.pdf Khawaja, Abdul Waheed and Nor Azwan, Mohamed Kamari and Ismail, Musirin and Mohd Asyraf, Zulkifley and Muhamad Zahim, Sujod (2021) Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach. International Journal of Advanced Technology and Engineering Exploration, 8 (75). 391 -404. ISSN 2394-5443. (Published) http://dx.doi.org/10.19101/IJATEE.2020.762132 http://dx.doi.org/10.19101/IJATEE.2020.762132 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Khawaja, Abdul Waheed Nor Azwan, Mohamed Kamari Ismail, Musirin Mohd Asyraf, Zulkifley Muhamad Zahim, Sujod Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach |
| title | Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach |
| title_full | Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach |
| title_fullStr | Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach |
| title_full_unstemmed | Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach |
| title_short | Design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach |
| title_sort | design of optimal multi-objective-based facts component with proportional-integral-derivative controller using swarm optimization approach |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/32369/ http://umpir.ump.edu.my/id/eprint/32369/ http://umpir.ump.edu.my/id/eprint/32369/ http://umpir.ump.edu.my/id/eprint/32369/1/Design%20of%20optimal%20multi-objective-based%20facts%20component.pdf |