Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping
Being the primary cause of inter-area oscillations and due to the fact that they limit the generation’s output, Low-Frequency Electromechanical Oscillations (LFEOs) represent a real threat to power system networks. Mitigating their effects is therefore crucial as it may lead to system collapse if no...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/22/8762 |
| _version_ | 1827644493853097984 |
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| author | Tswa-wen Pierre-Patrick Banga-Banga Carl Kriger Yohan Darcy Mfoumboulou |
| author_facet | Tswa-wen Pierre-Patrick Banga-Banga Carl Kriger Yohan Darcy Mfoumboulou |
| author_sort | Tswa-wen Pierre-Patrick Banga-Banga |
| collection | DOAJ |
| description | Being the primary cause of inter-area oscillations and due to the fact that they limit the generation’s output, Low-Frequency Electromechanical Oscillations (LFEOs) represent a real threat to power system networks. Mitigating their effects is therefore crucial as it may lead to system collapse if not properly damped. As rotor angle instability is the primary cause of LFEOs, this paper presents a novel Model-Reference Adaptive Control (MRAC) scheme that enhances its stability. The proposed scheme is tested using the Single-Machine Infinite Bus (SMIB) network. The results obtained validate the proposed decentralized control architecture. The robustness of this oscillation damping controller is verified through simulations in MATLAB/SIMULINK. With Gaussian noise added to the structure of the generator to emulate small load variations responsible for the rotor angle instability, the results of the simulations show that the rotor angle remains stable. Furthermore, when subjected to faults, the recovery time is less than 500 ms. |
| first_indexed | 2024-03-09T18:20:25Z |
| format | Article |
| id | doaj.art-3f67eba13c404f59b2b5cbaaf7a26493 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T18:20:25Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3f67eba13c404f59b2b5cbaaf7a264932023-11-24T08:18:10ZengMDPI AGEnergies1996-10732022-11-011522876210.3390/en15228762Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation DampingTswa-wen Pierre-Patrick Banga-Banga0Carl Kriger1Yohan Darcy Mfoumboulou2Centre for Substation Automation and Energy Management Systems (CSAEMS), Department of Electrical, Electronics and Computer Engineering, Cape Peninsula University of Technology, Cape Town 7500, South AfricaCentre for Substation Automation and Energy Management Systems (CSAEMS), Department of Electrical, Electronics and Computer Engineering, Cape Peninsula University of Technology, Cape Town 7500, South AfricaCentre for Substation Automation and Energy Management Systems (CSAEMS), Department of Electrical, Electronics and Computer Engineering, Cape Peninsula University of Technology, Cape Town 7500, South AfricaBeing the primary cause of inter-area oscillations and due to the fact that they limit the generation’s output, Low-Frequency Electromechanical Oscillations (LFEOs) represent a real threat to power system networks. Mitigating their effects is therefore crucial as it may lead to system collapse if not properly damped. As rotor angle instability is the primary cause of LFEOs, this paper presents a novel Model-Reference Adaptive Control (MRAC) scheme that enhances its stability. The proposed scheme is tested using the Single-Machine Infinite Bus (SMIB) network. The results obtained validate the proposed decentralized control architecture. The robustness of this oscillation damping controller is verified through simulations in MATLAB/SIMULINK. With Gaussian noise added to the structure of the generator to emulate small load variations responsible for the rotor angle instability, the results of the simulations show that the rotor angle remains stable. Furthermore, when subjected to faults, the recovery time is less than 500 ms.https://www.mdpi.com/1996-1073/15/22/8762MRACoscillation dampinginter-area oscillationsGaussian noisesmall-signal stabilitySMIB |
| spellingShingle | Tswa-wen Pierre-Patrick Banga-Banga Carl Kriger Yohan Darcy Mfoumboulou Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping Energies MRAC oscillation damping inter-area oscillations Gaussian noise small-signal stability SMIB |
| title | Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping |
| title_full | Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping |
| title_fullStr | Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping |
| title_full_unstemmed | Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping |
| title_short | Decentralized Model-Reference Adaptive Control Based Algorithm for Power Systems Inter-Area Oscillation Damping |
| title_sort | decentralized model reference adaptive control based algorithm for power systems inter area oscillation damping |
| topic | MRAC oscillation damping inter-area oscillations Gaussian noise small-signal stability SMIB |
| url | https://www.mdpi.com/1996-1073/15/22/8762 |
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