会议专题

Dynamic-Priority-Based Real-Time Charging Management for Plug-in Electric Vehicles in Smart Grid

Massive and random charging activities by increasing penetration of the plug-in electric vehicles (PEVs) shall bring significant electricity impact in the smart grid. The real-time charging management with dynamic-priority scheduling is the key to satisfy various charging requirements and help utility optimize infrastructure utilization. The paper firstly introduces an access network structure, then proposed a submeter for real-time management, after that a three-process decomposition of the PEV charging activity using queuing theory is carried out. Based on the decomposition, the real-time management of each process is proposed. Furthermore, the paper designed a dynamic-priority scheduling based on the PEV slack time for satisfying various charging requirements, and these time-sensitive PEVs can be served firstly. Simulation results show the proposed charging management performs efficiently on reducing the grid peak load, improving the utility utilization, and enhancing the on-time percentage in mid and low penetrations. Study findings in this paper will help support informed decision-making regarding PEV development and deployment in the near future.

Plug-in electric vehicle dynamic scheduling charging management access network smart grid

HAN Peng WANG Jinkuan HAN Yinghua

Northeastern University, School of Information Science and Engineering, Shenyang 066004, China

国际会议

The 31st Chinese Control Conference(第三十一届中国控制会议)

合肥

英文

2432-2436

2012-07-01(万方平台首次上网日期,不代表论文的发表时间)