Energy Management System for Smart Grids: Tests in Cyber-Physical Mode
The objective of this work regards the laboratory assessment of the energy management system (EMS) for a smart grid, to be applied to the Eigerøy island (Norway) inside the H2020 ROBINSON project. The smart grid is based on the integration of industrial needs (a steam boiler fueled by LNG) with rene...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/51/e3sconf_supehr2023_03001.pdf |
| _version_ | 1797736106608820224 |
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| author | Ferrari Mario Luigi Gini Lorenzo Pascenti Matteo |
| author_facet | Ferrari Mario Luigi Gini Lorenzo Pascenti Matteo |
| author_sort | Ferrari Mario Luigi |
| collection | DOAJ |
| description | The objective of this work regards the laboratory assessment of the energy management system (EMS) for a smart grid, to be applied to the Eigerøy island (Norway) inside the H2020 ROBINSON project. The smart grid is based on the integration of industrial needs (a steam boiler fueled by LNG) with renewable sources and waste recycling (internal production of syngas and biogas). The mentioned EMS, developed to minimize energy generation costs, includes an optimization tool and a Model Predictive Control (MPC) software for the calculation of the activation and the set-point values of the prime movers. Moreover, a special scheduling approach was proposed for the electrolyzers connected to a hydrogen storage pressure vessel. In this work the EMS was tested in cyber-physical mode in the Innovative Energy Systems (IES) laboratory of the University of Genoa. In details, the tests were performed coupling component models with real hardware (microturbine and solar panels) available in the laboratory. The obtained optimization performance was highlighted on the basis of a comparison with a standard management of the smart grid. |
| first_indexed | 2024-03-12T13:08:48Z |
| format | Article |
| id | doaj.art-dfd2a78d59cb405686dea0b1caa67881 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T13:08:48Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-dfd2a78d59cb405686dea0b1caa678812023-08-28T12:27:55ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014140300110.1051/e3sconf/202341403001e3sconf_supehr2023_03001Energy Management System for Smart Grids: Tests in Cyber-Physical ModeFerrari Mario Luigi0Gini Lorenzo1Pascenti Matteo2University of Genoa, DIMEUniversity of Genoa, DIMESIT Technologies s.r.l.The objective of this work regards the laboratory assessment of the energy management system (EMS) for a smart grid, to be applied to the Eigerøy island (Norway) inside the H2020 ROBINSON project. The smart grid is based on the integration of industrial needs (a steam boiler fueled by LNG) with renewable sources and waste recycling (internal production of syngas and biogas). The mentioned EMS, developed to minimize energy generation costs, includes an optimization tool and a Model Predictive Control (MPC) software for the calculation of the activation and the set-point values of the prime movers. Moreover, a special scheduling approach was proposed for the electrolyzers connected to a hydrogen storage pressure vessel. In this work the EMS was tested in cyber-physical mode in the Innovative Energy Systems (IES) laboratory of the University of Genoa. In details, the tests were performed coupling component models with real hardware (microturbine and solar panels) available in the laboratory. The obtained optimization performance was highlighted on the basis of a comparison with a standard management of the smart grid.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/51/e3sconf_supehr2023_03001.pdf |
| spellingShingle | Ferrari Mario Luigi Gini Lorenzo Pascenti Matteo Energy Management System for Smart Grids: Tests in Cyber-Physical Mode E3S Web of Conferences |
| title | Energy Management System for Smart Grids: Tests in Cyber-Physical Mode |
| title_full | Energy Management System for Smart Grids: Tests in Cyber-Physical Mode |
| title_fullStr | Energy Management System for Smart Grids: Tests in Cyber-Physical Mode |
| title_full_unstemmed | Energy Management System for Smart Grids: Tests in Cyber-Physical Mode |
| title_short | Energy Management System for Smart Grids: Tests in Cyber-Physical Mode |
| title_sort | energy management system for smart grids tests in cyber physical mode |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/51/e3sconf_supehr2023_03001.pdf |
| work_keys_str_mv | AT ferrarimarioluigi energymanagementsystemforsmartgridstestsincyberphysicalmode AT ginilorenzo energymanagementsystemforsmartgridstestsincyberphysicalmode AT pascentimatteo energymanagementsystemforsmartgridstestsincyberphysicalmode |