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EnglishIn this paper, the behavior of a grid-connected hybrid ac/dc microgrid has been investigated. Different renewable energy sources - photovoltaics modules and a wind turbine generator - have been considered together with a solid oxide fuel cell and a battery energy storage system. The main contribution of this paper is the design and the validation of an innovative online-trained artificial neural network-based control system for a hybrid microgrid. Adaptive neural networks are used to track the maximum power point of renewable energy generators and to control the power exchanged between the front-end converter and the electrical grid. Moreover, a fuzzy logic-based power management system is proposed in order to minimize the energy purchased from the electrical grid. The operation of the hybrid microgrid has been tested in the MATLAB/Simulink environment under different operating conditions. The obtained results demonstrate the effectiveness, the high robustness and the self-adaptation ability of the proposed control system.
| Titolo: | Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid |
| Autori: | |
| Data di pubblicazione: | 2018 |
| Data ahead of print: | 5-ago-2016 |
| Stato di pubblicazione: | Pubblicato |
| Rivista: | |
| Abstract: | In this paper, the behavior of a grid-connected hybrid ac/dc microgrid has been investigated. Different renewable energy sources - photovoltaics modules and a wind turbine generator - have been considered together with a solid oxide fuel cell and a battery energy storage system. The main contribution of this paper is the design and the validation of an innovative online-trained artificial neural network-based control system for a hybrid microgrid. Adaptive neural networks are used to track the maximum power point of renewable energy generators and to control the power exchanged between the front-end converter and the electrical grid. Moreover, a fuzzy logic-based power management system is proposed in order to minimize the energy purchased from the electrical grid. The operation of the hybrid microgrid has been tested in the MATLAB/Simulink environment under different operating conditions. The obtained results demonstrate the effectiveness, the high robustness and the self-adaptation ability of the proposed control system. |
| Handle: | http://hdl.handle.net/11368/2885747 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/TSG.2016.2597006 |
| URL: | https://ieeexplore.ieee.org/document/7534749/ |
| Appare nelle tipologie: | 1.1 Articolo in Rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Adaptive Neural Network-Based Control of a Hybrid ACDC Microgrid Final.pdf | Articolo principale | Bozza finale post-referaggio (post-print) | Copyright Editore | Open Access Visualizza/Apri |
| 07534749.pdf | Documento in Versione Editoriale | Copyright Editore | Administrator Richiedi una copia |
http://hdl.handle.net/11368/2885747
