This research project is focused on the modeling and simulations of the bottom-up restoration strategies. The aim is the implementation of an electromechanic and electromagnetic model totally devoted to the simulations of power system restorations, to quantify the impact of the new power system paradigm on the dynamic performance of the restoration process. With this aim, an active distribution network model is implemented to better consider the strong penetration of DERs even with their protection equipment. The model serves to conceive a procedural approach to study the restoration process from the planning to the final on-field test. The present research also includes the implementation of possible countermeasures in order to avoid some critical scenarios. The research is carried out in strong collaboration with the Italian TSO Terna, which provides a wide amount of network data and field recordings.

This research project is focused on the modeling and simulations of the bottom-up restoration strategies. The aim is the implementation of an electromechanic and electromagnetic model totally devoted to the simulations of power system restorations, to quantify the impact of the new power system paradigm on the dynamic performance of the restoration process. With this aim, an active distribution network model is implemented to better consider the strong penetration of DERs even with their protection equipment. The model serves to conceive a procedural approach to study the restoration process from the planning to the final on-field test. The present research also includes the implementation of possible countermeasures in order to avoid some critical scenarios. The research is carried out in strong collaboration with the Italian TSO Terna, which provides a wide amount of network data and field recordings.

Power System Restoration Modelling, Simulation and Comparison with Field Tests / Sanniti, Francesco. - (2023 Mar 24).

Power System Restoration Modelling, Simulation and Comparison with Field Tests

SANNITI, FRANCESCO
2023

Abstract

This research project is focused on the modeling and simulations of the bottom-up restoration strategies. The aim is the implementation of an electromechanic and electromagnetic model totally devoted to the simulations of power system restorations, to quantify the impact of the new power system paradigm on the dynamic performance of the restoration process. With this aim, an active distribution network model is implemented to better consider the strong penetration of DERs even with their protection equipment. The model serves to conceive a procedural approach to study the restoration process from the planning to the final on-field test. The present research also includes the implementation of possible countermeasures in order to avoid some critical scenarios. The research is carried out in strong collaboration with the Italian TSO Terna, which provides a wide amount of network data and field recordings.
Power System Restoration Modelling, Simulation and Comparison with Field Tests
24-mar-2023
This research project is focused on the modeling and simulations of the bottom-up restoration strategies. The aim is the implementation of an electromechanic and electromagnetic model totally devoted to the simulations of power system restorations, to quantify the impact of the new power system paradigm on the dynamic performance of the restoration process. With this aim, an active distribution network model is implemented to better consider the strong penetration of DERs even with their protection equipment. The model serves to conceive a procedural approach to study the restoration process from the planning to the final on-field test. The present research also includes the implementation of possible countermeasures in order to avoid some critical scenarios. The research is carried out in strong collaboration with the Italian TSO Terna, which provides a wide amount of network data and field recordings.
Power System Restoration Modelling, Simulation and Comparison with Field Tests / Sanniti, Francesco. - (2023 Mar 24).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3473268
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