Caiazzo, Bianca (2023) Distributed Control of Cyber-Physical Energy Systems: Towards the Energy Transition. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Distributed Control of Cyber-Physical Energy Systems: Towards the Energy Transition |
| Autori: | Autore Email Caiazzo, Bianca bianca.caiazzo@unina.it |
| Data: | 9 Marzo 2023 |
| Numero di pagine: | 298 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 35 |
| Coordinatore del Corso di dottorato: | nome email Russo, Stefano stefano.russo@unina.it |
| Tutor: | nome email Santini, Stefania [non definito] |
| Data: | 9 Marzo 2023 |
| Numero di pagine: | 298 |
| Parole chiave: | Microgrids, Distributed Control, Multi-Agent Systems, Cyber-Physical Energy Systems, Time-delay Systems |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica |
| Depositato il: | 14 Mar 2023 19:35 |
| Ultima modifica: | 10 Apr 2025 13:01 |
| URI: | http://www.fedoa.unina.it/id/eprint/15123 |
Abstract
Recent advances in Information and Communication Technologies, along with the deployment of small-scale distributed generation sources, led to the current energy transition, mainly devoted to decarbonisation of energy sector and net zero greenhouse gas emissions. Microgrids (MGs) represent the conceptualization of this transition, where the combination of physical plants with novel bi-directional measurement and control loops entails the vision of MGs as cyber-physical energy systems in a networked control perspective. Hence, distributed control and multi-agent systems theory are the key enabling tools for MGs optimization and management. However, the spread of distributed smart nodes within this modern power systems, endowed with sensing/actuation, control and communication capabilities, poses novel issues that cannot be neglected in control design phase to guarantee effective, resilient and reliable MGs operations. From one side, different communication constraints arise due to the large amount of connected devices, such as: i) communication time-delays in information sharing process; ii) need of sampled-data formulation of distributed controllers to facilitate their implementation in digital control platform; iii) limited communication bandwidth with the need to avoid communication resources waste. Besides, some fundamental control requirements are expected to be satisfied in MGs operations, namely: iv) short convergence time to timely accommodate their fast changing operating conditions; v) resilience to unknown model mismatches, large disturbances/uncertainties affecting the entire MGs dynamics. The purpose of the thesis is to answer these research questions by designing suitable distributed control protocols aiming at improving the MGs working operating conditions, thus promoting the current green energy revolution.
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