The integration of electric vehicles in power systems through direct current microgrid solutions with renewable sources and storage could enable the vehicle-to-grid technology and the provision of programmable power exchange profiles with the distribution system. The uncertainties in the forecast of photovoltaic power production and in electric vehicle state at parking arrival time implies the need of energy management solutions based on stochastic operation programming. In this paper, day-ahead energy management procedure for a microgrid including internal reserve provision by energy storage and electric vehicles to deal with these uncertainties is proposed. Simulations are carried out on a realistic electric vehicle supply infrastructure with proper vehicle usage.

A stochastic approach for power and reserve programming in EV-based DC microgrid / Marasciuolo, F.; Dicorato, M.; Forte, G.. - (2023). (Intervento presentato al convegno IEEE EGrid 2023 Conference tenutosi a Karlsruhe, Germany nel 16-18 October 2023).

A stochastic approach for power and reserve programming in EV-based DC microgrid

F. Marasciuolo;M. Dicorato;G. Forte
2023-01-01

Abstract

The integration of electric vehicles in power systems through direct current microgrid solutions with renewable sources and storage could enable the vehicle-to-grid technology and the provision of programmable power exchange profiles with the distribution system. The uncertainties in the forecast of photovoltaic power production and in electric vehicle state at parking arrival time implies the need of energy management solutions based on stochastic operation programming. In this paper, day-ahead energy management procedure for a microgrid including internal reserve provision by energy storage and electric vehicles to deal with these uncertainties is proposed. Simulations are carried out on a realistic electric vehicle supply infrastructure with proper vehicle usage.
2023
IEEE EGrid 2023 Conference
A stochastic approach for power and reserve programming in EV-based DC microgrid / Marasciuolo, F.; Dicorato, M.; Forte, G.. - (2023). (Intervento presentato al convegno IEEE EGrid 2023 Conference tenutosi a Karlsruhe, Germany nel 16-18 October 2023).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/260824
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