Electric vehicle charging algorithms for coordination of the grid and distribution transformer levels. (15th October 2016)

• Record Type: Journal Article
• Authors: Ramos Muñoz, Edgar; Razeghi, Ghazal; Zhang, Li; Jabbari, Faryar
• Is Part Of: Energy. Volume 113(2016)
• Page Start: 930
• Page End: 942
• Publication Date: 2016-10-15
• Subjects: Plug-in electric vehicle -- Valley filling -- Distribution transformer -- PEV charging -- BEV -- Loss of life; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2016.07.122
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: The need to reduce greenhouse gas emissions and fossil fuel consumption has increased the popularity of plug-in electric vehicles. However, a large penetration of plug-in electric vehicles can pose challenges at the grid and local distribution levels. Various charging strategies have been proposed to address such challenges, often separately. In this paper, it is shown that, with uncoordinated charging, distribution transformers and the grid can operate under highly undesirable conditions. Next, several strategies that require modest communication efforts are proposed to mitigate the burden created by high concentrations of plug-in electric vehicles, at the grid and local levels. Existing transformer and battery electric vehicle characteristics are used along with the National Household Travel Survey to simulate various charging strategies. It is shown through the analysis of hot spot temperature and equivalent aging factor that the coordinated strategies proposed here reduce the chances of transformer failure with the addition of plug-in electric vehicle loads, even for an under-designed transformer while uncontrolled and uncoordinated plug-in electric vehicle charging results in increased risk of transformer failure. Highlights: Charging algorithm for battery electric vehicles, for high penetration levels. Algorithm reduces transformer overloading, for grid level valley filling. Computation and communication requirements are minimal. The distributed algorithm is implemented without large scale iterations. Hot spot temperature and loss of life for transformers are evaluated.