Zhenhe Zhang, Jun Zheng et Guchuan Zhu
Article de revue (2024)
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Abstract
This paper presents a new aggregate power tracking control scheme for populations of thermostatically controlled loads (TCLs). The control design is performed in the framework of partial differential equations (PDEs) based on a late-lumping procedure without truncating the infinite-dimensional model describing the dynamics of the TCL population. An input-output linearization control scheme, which is independent of system parameters and uses only partial state measurement, is derived, and a sliding mode-like control is applied to achieve finite-time input-to-state stability for tracking error dynamics. Such a control strategy can ensure robust performance in the presence of modeling uncertainties, while considerably reducing the communication burden in large-scale distributed systems similar to that considered in the present work. A rigorous analysis of the closed-loop stability of the underlying PDE system was conducted, which guarantees the validity of the developed control scheme. Simulation studies were performed while considering two TCL populations with a significant difference in their size, and the results show that the developed control scheme performs well in both cases, thereby confirming the effectiveness of the proposed solution.
Mots clés
| Département: | Département de génie électrique |
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| Organismes subventionnaires: | NSERC / CRSNG, National Natural Science Foundation of China (NSFC), Fonds de Recherche du Québec - Nature et Technologies (FRQNT) |
| Numéro de subvention: | NSFC-11901482, RGPIN-2018-04571 |
| URL de PolyPublie: | https://publications.polymtl.ca/58202/ |
| Titre de la revue: | IEEE Access (vol. 12) |
| Maison d'édition: | IEEE |
| DOI: | 10.1109/access.2024.3392511 |
| URL officielle: | https://doi.org/10.1109/access.2024.3392511 |
| Date du dépôt: | 21 mai 2024 10:51 |
| Dernière modification: | 27 sept. 2024 01:34 |
| Citer en APA 7: | Zhang, Z., Zheng, J., & Zhu, G. (2024). Power tracking control of heterogeneous populations of thermostatically controlled loads with partially measured states. IEEE Access, 12, 57674-57687. https://doi.org/10.1109/access.2024.3392511 |
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