Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations
The consensus of Cyber-Physical Power Systems (CPPSs), where generators agree on common desired rotor angles and speeds, is vital for maintaining system stability and efficiency. This study explores this consensus using fractional-order multi-agent systems, offering advantages over traditional metho...
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University of Sistan and Baluchestan
2025-06-01
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| Series: | International Journal of Industrial Electronics, Control and Optimization |
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| Online Access: | https://ieco.usb.ac.ir/article_8624_2a80a05f602ac3425d58761a1e45abec.pdf |
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| author | Mahmood Nazifi Mahdi Pourgholi |
| author_facet | Mahmood Nazifi Mahdi Pourgholi |
| author_sort | Mahmood Nazifi |
| collection | DOAJ |
| description | The consensus of Cyber-Physical Power Systems (CPPSs), where generators agree on common desired rotor angles and speeds, is vital for maintaining system stability and efficiency. This study explores this consensus using fractional-order multi-agent systems, offering advantages over traditional methods. CPPSs often encounter issues like faults, uncertainties, disturbances, and cyber-attacks. To address these, a new Adaptive Fractional-Order Sliding Mode Controller (AFOSMC) is proposed, designed to achieve consensus despite unknown nonlinear functional upper bounds characterizing system perturbations. The AFOSMC uses stable adaptive laws to determine these unknown coefficients, ensuring robust performance even under adverse conditions. It outperforms conventional Integer-Order counterparts by reducing chattering and enabling faster convergence during the initial phase of CPPS operations. The AFOSMC also ensures finite-time convergence to the sliding surface, enhancing system responsiveness and stability. The controller's stability is rigorously proven using Lyapunov's theorem. Finally, extensive simulations demonstrate the practical benefits of the AFOSMC, and comparisons with recent research highlight its superior performance in robustness and efficiency. |
| format | Article |
| id | doaj-art-7a5d623f242f4e7287e3045cdc1936ee |
| institution | OA Journals |
| issn | 2645-3517 2645-3568 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | International Journal of Industrial Electronics, Control and Optimization |
| spelling | doaj-art-7a5d623f242f4e7287e3045cdc1936ee2025-08-20T02:14:54ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682025-06-018210511610.22111/ieco.2024.48807.15718624Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded PerturbationsMahmood Nazifi0Mahdi Pourgholi1Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, IranFaculty of Electrical Engineering, Shahid Beheshti University, Tehran, IranThe consensus of Cyber-Physical Power Systems (CPPSs), where generators agree on common desired rotor angles and speeds, is vital for maintaining system stability and efficiency. This study explores this consensus using fractional-order multi-agent systems, offering advantages over traditional methods. CPPSs often encounter issues like faults, uncertainties, disturbances, and cyber-attacks. To address these, a new Adaptive Fractional-Order Sliding Mode Controller (AFOSMC) is proposed, designed to achieve consensus despite unknown nonlinear functional upper bounds characterizing system perturbations. The AFOSMC uses stable adaptive laws to determine these unknown coefficients, ensuring robust performance even under adverse conditions. It outperforms conventional Integer-Order counterparts by reducing chattering and enabling faster convergence during the initial phase of CPPS operations. The AFOSMC also ensures finite-time convergence to the sliding surface, enhancing system responsiveness and stability. The controller's stability is rigorously proven using Lyapunov's theorem. Finally, extensive simulations demonstrate the practical benefits of the AFOSMC, and comparisons with recent research highlight its superior performance in robustness and efficiency.https://ieco.usb.ac.ir/article_8624_2a80a05f602ac3425d58761a1e45abec.pdfcyber-physical power systems (cppss)fractional-order multi agent systemssliding-mode controladaptive controluncertainty and disturbance |
| spellingShingle | Mahmood Nazifi Mahdi Pourgholi Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations International Journal of Industrial Electronics, Control and Optimization cyber-physical power systems (cppss) fractional-order multi agent systems sliding-mode control adaptive control uncertainty and disturbance |
| title | Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations |
| title_full | Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations |
| title_fullStr | Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations |
| title_full_unstemmed | Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations |
| title_short | Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations |
| title_sort | adaptive fractional order consensus control of cyber physical power systems in the presence of unbounded perturbations |
| topic | cyber-physical power systems (cppss) fractional-order multi agent systems sliding-mode control adaptive control uncertainty and disturbance |
| url | https://ieco.usb.ac.ir/article_8624_2a80a05f602ac3425d58761a1e45abec.pdf |
| work_keys_str_mv | AT mahmoodnazifi adaptivefractionalorderconsensuscontrolofcyberphysicalpowersystemsinthepresenceofunboundedperturbations AT mahdipourgholi adaptivefractionalorderconsensuscontrolofcyberphysicalpowersystemsinthepresenceofunboundedperturbations |