The Italian demo of the H2020 Osmose project, which stands for Optimal System-Mix Of flexibility Solutions for European electricity, is led by Terna and aims at developing a novel Energy Management System (EMS), which allows managing distributed Renewable Energy Sources (RES) and severe grid congestions. This is obtained by properly coordinating innovative flexibility resources which include Dynamic Thermal Rating (DTR) and Demand Side Response (DSR). The DTR methods proposed under this framework have been developed by Ensiel, a consortium of Italian universities active in power systems research. These solutions include a sensor-based method, based on a self-organizing sensor network composed by cooperative smart nodes deployed along the line route, and a weather-based technique, based on a thermo-mechanical model of the monitored line. The main features of these advanced solutions are described in this paper, and the first experimental results obtained on real case studies are presented and discussed in order to prove their effectiveness.

Congestion Management in Italian HV grid using novel Dynamic Thermal Rating methods: First results of the H2020 European project Osmose

Pelacchi P.;Poli D.;
2020-01-01

Abstract

The Italian demo of the H2020 Osmose project, which stands for Optimal System-Mix Of flexibility Solutions for European electricity, is led by Terna and aims at developing a novel Energy Management System (EMS), which allows managing distributed Renewable Energy Sources (RES) and severe grid congestions. This is obtained by properly coordinating innovative flexibility resources which include Dynamic Thermal Rating (DTR) and Demand Side Response (DSR). The DTR methods proposed under this framework have been developed by Ensiel, a consortium of Italian universities active in power systems research. These solutions include a sensor-based method, based on a self-organizing sensor network composed by cooperative smart nodes deployed along the line route, and a weather-based technique, based on a thermo-mechanical model of the monitored line. The main features of these advanced solutions are described in this paper, and the first experimental results obtained on real case studies are presented and discussed in order to prove their effectiveness.
2020
978-8-8872-3747-4
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1062532
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? ND
social impact