Title :
Multi-agent control system for increasing hosting capacity in active distribution networks with EV
Author :
Mocci, S. ; Natale, N. ; Ruggeri, S. ; Pilo, F.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
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.
Keywords :
decentralised control; distribution networks; electric vehicles; multi-agent systems; power engineering computing; power system control; EV charging control; LV distribution network; MAS optimization algorithm; active distribution network; distribution network voltage control; electric vehicle; electrical mobility; greenhouse gas emission; hosting capacity; low voltage distribution network; medium voltage network; multiagent control system; slow charger; Batteries; Charging stations; Control systems; Linear programming; Multi-agent systems; Optimization; Voltage control; Decentralized Control; Electric Vehicle; Multi-Agent Systems;
Conference_Titel :
Energy Conference (ENERGYCON), 2014 IEEE International
Conference_Location :
Cavtat
DOI :
10.1109/ENERGYCON.2014.6850607
