Assessment of smart grid PEV charging management mechanism in grid safety and environmental impact

作者：Han Peng; Wang Jinkuan^*; Han Yinghua; Tan Lei

来源：Advances in Information Sciences and Service Sciences, 2012, 4(13): 144-152.

DOI：10.4156/AISS.vol4.issue13.19

• Access network
• Charging loads
• Charging mechanism
• Charging models
• Electricity generation
• Electricity grids
• Environmental policy
• GHG emission
• Key parameters
• Management mechanisms
• Mesh network
• Peak load
• Plug-ins
• Queuing theory
• Smart grid
• Smart meters

The massive and random charging activities by increasing penetration of the plug-in electric vehicles (PEVs) shall bring significant peak load in the near future. And the massive Greenhouse Gas (GHG) emission caused by electricity generation also brings challenges to the environment. And the charging management mechanism therefore is the key to charging PEVs with low GHG emission and help utility operators optimize generation strategy. The paper firstly develops an hourly dispatch model to simulate GHG emissions caused by electricity generations, and an access network structure composing submeters and smart meter mesh network is proposed. Then a novel coordinated charging management mechanism using queuing theory is implemented to minimize the PEV charging load impact to the electricity grid. To assess the mechanism performance, the paper constructs an hourly PEV charging model to simulate the grid impact and GHG emissions. And the two detailed and comprehensive scenarios with incoordinated and coordinated charging mechanism are simulated while key parameters are generated, analyzed, and approved. Simulation results show that the coordinated charging mechanism works efficiently on reducing the grid peak load, improving the utility utilization, and reducing GHG emission. Study findings in this paper will help support informed decision-making regarding PEV development and deployment in support of national energy and environmental policy.

• 出版日期2012
• 单位东北大学