Reinforcement learning method for plug-in electric vehicle bidding

Reinforcement learning method for plug-in electric vehicle bidding

This study proposes a novel multi-agent method for electric vehicle (EV) owners who will take part in the electricity market. Each EV is considered as an agent, and all the EVs have vehicle-to-grid capability. These agents aim to minimise the charging cost and to increase the privacy of EV owners du...

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Bibliographic Details
Main Authors: Soroush Najafi, Miadreza Shafie-khah, Pierluigi Siano, Wei Wei, João P.S. Catalão
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:IET Smart Grid
Subjects:
electric vehicles
power markets
learning (artificial intelligence)
multi-agent systems
plug-in electric vehicle
novel multiagent method
electric vehicle owners
electricity market
vehicle-to-grid capability
charging cost
ev owners
aggregator role
independent decision cores
buying selling energy
reinforcement learning algorithm
q-learning algorithm
multiagent methods
cost minimisation goal
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0297

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https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0297

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