Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations
Generally, power systems experience a variety of disturbances that can result in low frequency electromechanical oscillations. These low frequency oscillations (LFOs) take place among the rotors of synchronous generators connected to the power system. These oscillations may sustain and grow to cause...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
SAGE Publications
2021
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/95942/ |
| _version_ | 1848862259336445952 |
|---|---|
| author | Sabo, Aliyu Abdul Wahab, Noor Izzri Acikgoz, Hakan Othman, Mohammad Lutfi Mohd Jaffar, Mai Zurwatul Ahlam Beiranvand, Hamzeh |
| author_facet | Sabo, Aliyu Abdul Wahab, Noor Izzri Acikgoz, Hakan Othman, Mohammad Lutfi Mohd Jaffar, Mai Zurwatul Ahlam Beiranvand, Hamzeh |
| author_sort | Sabo, Aliyu |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Generally, power systems experience a variety of disturbances that can result in low frequency electromechanical oscillations. These low frequency oscillations (LFOs) take place among the rotors of synchronous generators connected to the power system. These oscillations may sustain and grow to cause system separation if no adequate damping is provided. Power system stabilizers (PSSs) are one of the alternative devices used to solve this rotor oscillation problem. The major limitation of using PSSs at the excitation system of synchronous machine is that the conventional PSS is a permanent parameter type operating under a particular system operating condition, and its parameters are acquired through trial and error. An efficient way of operating the PSS has been by designing the PSS parameters using a powerful optimization procedure. However, designing PSS damping controller is a cumbersome task as it needs a comprehensive test system modeling and a heavy computational burden on the system. In this research, a novel, model-free neuro-fuzzy controller (NFC) is designed as the LFOs’ damping controller to substitute the traditional PSS system making the power system simple without complications in PSS design and parameter optimization. The proposed controller application implements the LFOs’ control without a linearized mathematical model of the system, as such it makes the system less complex and bulky. Single machine infinite bus (SMIB) test system was simulated in SIMULINK domain with the PSSs and with the proposed controller to compare the NFC effectiveness. The simulation outcome for the eigenvalue study with NFC stabilizer yields steady eigenvalues that enhanced the damping status of the system greater than 0.1 with decreased overshoots and time to rise via the proposed NFC process than with the conventional FFA-PSS. Similarly, the generator transient reaction also presents the ω and δ based on the time to settle was improved by 64.66% and 28.78%, respectively, via the proposed NFC process than with the conventional FFA-PSS. Finally, the conventional PSS was found to be complicated in its design, parameter optimization and less effective than the proposed controller for the LFOs’ control. |
| first_indexed | 2025-11-15T13:14:11Z |
| format | Article |
| id | upm-95942 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:14:11Z |
| publishDate | 2021 |
| publisher | SAGE Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-959422023-03-22T04:27:24Z http://psasir.upm.edu.my/id/eprint/95942/ Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations Sabo, Aliyu Abdul Wahab, Noor Izzri Acikgoz, Hakan Othman, Mohammad Lutfi Mohd Jaffar, Mai Zurwatul Ahlam Beiranvand, Hamzeh Generally, power systems experience a variety of disturbances that can result in low frequency electromechanical oscillations. These low frequency oscillations (LFOs) take place among the rotors of synchronous generators connected to the power system. These oscillations may sustain and grow to cause system separation if no adequate damping is provided. Power system stabilizers (PSSs) are one of the alternative devices used to solve this rotor oscillation problem. The major limitation of using PSSs at the excitation system of synchronous machine is that the conventional PSS is a permanent parameter type operating under a particular system operating condition, and its parameters are acquired through trial and error. An efficient way of operating the PSS has been by designing the PSS parameters using a powerful optimization procedure. However, designing PSS damping controller is a cumbersome task as it needs a comprehensive test system modeling and a heavy computational burden on the system. In this research, a novel, model-free neuro-fuzzy controller (NFC) is designed as the LFOs’ damping controller to substitute the traditional PSS system making the power system simple without complications in PSS design and parameter optimization. The proposed controller application implements the LFOs’ control without a linearized mathematical model of the system, as such it makes the system less complex and bulky. Single machine infinite bus (SMIB) test system was simulated in SIMULINK domain with the PSSs and with the proposed controller to compare the NFC effectiveness. The simulation outcome for the eigenvalue study with NFC stabilizer yields steady eigenvalues that enhanced the damping status of the system greater than 0.1 with decreased overshoots and time to rise via the proposed NFC process than with the conventional FFA-PSS. Similarly, the generator transient reaction also presents the ω and δ based on the time to settle was improved by 64.66% and 28.78%, respectively, via the proposed NFC process than with the conventional FFA-PSS. Finally, the conventional PSS was found to be complicated in its design, parameter optimization and less effective than the proposed controller for the LFOs’ control. SAGE Publications 2021 Article PeerReviewed Sabo, Aliyu and Abdul Wahab, Noor Izzri and Acikgoz, Hakan and Othman, Mohammad Lutfi and Mohd Jaffar, Mai Zurwatul Ahlam and Beiranvand, Hamzeh (2021) Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations. Transactions of the Institute of Measurement and Control, 43 (16). 3633 - 3646. ISSN 0142-3312; ESSN: 1477-0369 https://journals.sagepub.com/doi/10.1177/01423312211042781 10.1177/01423312211042781 |
| spellingShingle | Sabo, Aliyu Abdul Wahab, Noor Izzri Acikgoz, Hakan Othman, Mohammad Lutfi Mohd Jaffar, Mai Zurwatul Ahlam Beiranvand, Hamzeh Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations |
| title | Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations |
| title_full | Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations |
| title_fullStr | Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations |
| title_full_unstemmed | Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations |
| title_short | Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations |
| title_sort | application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations |
| url | http://psasir.upm.edu.my/id/eprint/95942/ http://psasir.upm.edu.my/id/eprint/95942/ http://psasir.upm.edu.my/id/eprint/95942/ |