Electrical mobility is based on the usage of electric vehicle (EV) as the main future technology to combat greenhouse gas emissions. Detailed knowledge about the future charging profiles of EVs appears to be missing in Literature. Slow chargers will be spread in the LV network or concentrated in some parking lots and connected to the LV or MV network. In the paper, an intelligent and decentralized Multi-Agent System (MAS) for handling EV charging control and management in the LV distribution networks is proposed. The MAS optimization algorithm proposed allows designing a valid and effective EVs charging system, able to analyse and meet the EV charging needs to contribute to the voltage control of the distribution network.

Multi-Agent Control System for increasing hosting capacity in Active Distribution Networks with EV

MOCCI, SUSANNA;NATALE, NICOLA;PILO, FABRIZIO GIULIO LUCA;RUGGERI, SIMONA
2014-01-01

Abstract

Electrical mobility is based on the usage of electric vehicle (EV) as the main future technology to combat greenhouse gas emissions. Detailed knowledge about the future charging profiles of EVs appears to be missing in Literature. Slow chargers will be spread in the LV network or concentrated in some parking lots and connected to the LV or MV network. In the paper, an intelligent and decentralized Multi-Agent System (MAS) for handling EV charging control and management in the LV distribution networks is proposed. The MAS optimization algorithm proposed allows designing a valid and effective EVs charging system, able to analyse and meet the EV charging needs to contribute to the voltage control of the distribution network.
2014
978-147992449-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/108521
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