Distributed Control Model Based on Multi-Agent System for Electric Vehicles
Control and management of electric vehicle (EV) charging at demand side can achieve supply-demand balance of the distribution network load,and help to improve system reliability and economy.Based on the research of EV demand-side response charging mode in the context of smart grid,a multi-agent system (MAS) framework for EV charging operating system is built.Following with the definition of agent learning and adapting behavior,the coordination mechanism of EV in response to the peak-valley price is proposed based on optimal goals of the distribution network load limits,EV charging state and electricity price cost.The load curve of the grid in three scenarios has been analyzed,i.e.non EV connection,blind charging and multi-agent system application.The results show that EV charging system based on multi-agent control model can reduce peak load,and take into account the economic interests and electricity habit of the EV users,which is conducive to realizing the mutual benefit and win-win results of related subjects.
electric vehiclemulti-agent systemdemand side managementdistributed controlpeak-valley price
NETL
NSTL
万方数据
维普
