Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent Approach
This paper investigates the distributed time-varying (TV) resource management problem (RMP) for microgrids (MGs) within a multi-agent system (MAS) framework. A novel fixed-time (FXT) distributed optimization algorithm is proposed, capable of operating over switching communication graphs and handling...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/10/2616 |
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| author | Tingting Zhou Salah Laghrouche Youcef Ait-Amirat |
| author_facet | Tingting Zhou Salah Laghrouche Youcef Ait-Amirat |
| author_sort | Tingting Zhou |
| collection | DOAJ |
| description | This paper investigates the distributed time-varying (TV) resource management problem (RMP) for microgrids (MGs) within a multi-agent system (MAS) framework. A novel fixed-time (FXT) distributed optimization algorithm is proposed, capable of operating over switching communication graphs and handling both local inequality and global equality constraints. By incorporating a time-decaying penalty function, the algorithm achieves an FXT consensus on marginal costs and ensures asymptotic convergence to the optimal TV solution of the original RMP. Unlike the prior methods with centralized coordination, the proposed algorithm is fully distributed, scalable, and privacy-preserving, making it suitable for real-time deployment in dynamic MG environments. Rigorous theoretical analysis establishes FXT convergence under both identical and nonidentical Hessian conditions. Simulations on the IEEE 14-bus system validate the algorithm’s superior performance in convergence speed, plug-and-play adaptability, and robustness to switching topologies. |
| format | Article |
| id | doaj-art-f144fc726e5c4ae6be864f4a44bcc913 |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-f144fc726e5c4ae6be864f4a44bcc9132025-08-20T02:33:48ZengMDPI AGEnergies1996-10732025-05-011810261610.3390/en18102616Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent ApproachTingting Zhou0Salah Laghrouche1Youcef Ait-Amirat2FEMTO-ST Institute, Centre National de la Recherche Scientifique (CNRS), UTBM, Université Marie et Louis Pasteur, F-90000 Belfort, FranceFEMTO-ST Institute, Centre National de la Recherche Scientifique (CNRS), UTBM, Université Marie et Louis Pasteur, F-90000 Belfort, FranceFEMTO-ST Institute, Centre National de la Recherche Scientifique (CNRS), UTBM, Université Marie et Louis Pasteur, F-90000 Belfort, FranceThis paper investigates the distributed time-varying (TV) resource management problem (RMP) for microgrids (MGs) within a multi-agent system (MAS) framework. A novel fixed-time (FXT) distributed optimization algorithm is proposed, capable of operating over switching communication graphs and handling both local inequality and global equality constraints. By incorporating a time-decaying penalty function, the algorithm achieves an FXT consensus on marginal costs and ensures asymptotic convergence to the optimal TV solution of the original RMP. Unlike the prior methods with centralized coordination, the proposed algorithm is fully distributed, scalable, and privacy-preserving, making it suitable for real-time deployment in dynamic MG environments. Rigorous theoretical analysis establishes FXT convergence under both identical and nonidentical Hessian conditions. Simulations on the IEEE 14-bus system validate the algorithm’s superior performance in convergence speed, plug-and-play adaptability, and robustness to switching topologies.https://www.mdpi.com/1996-1073/18/10/2616distributed time-varying optimizationmulti-agent systemsoptimal resource managementfixed-timeswitching graphs |
| spellingShingle | Tingting Zhou Salah Laghrouche Youcef Ait-Amirat Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent Approach Energies distributed time-varying optimization multi-agent systems optimal resource management fixed-time switching graphs |
| title | Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent Approach |
| title_full | Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent Approach |
| title_fullStr | Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent Approach |
| title_full_unstemmed | Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent Approach |
| title_short | Distributed Time-Varying Optimal Resource Management for Microgrids via Fixed-Time Multiagent Approach |
| title_sort | distributed time varying optimal resource management for microgrids via fixed time multiagent approach |
| topic | distributed time-varying optimization multi-agent systems optimal resource management fixed-time switching graphs |
| url | https://www.mdpi.com/1996-1073/18/10/2616 |
| work_keys_str_mv | AT tingtingzhou distributedtimevaryingoptimalresourcemanagementformicrogridsviafixedtimemultiagentapproach AT salahlaghrouche distributedtimevaryingoptimalresourcemanagementformicrogridsviafixedtimemultiagentapproach AT youcefaitamirat distributedtimevaryingoptimalresourcemanagementformicrogridsviafixedtimemultiagentapproach |