Monte Carlo analysis of Plug-in Hybrid Vehicles and Distributed Energy Resource growth with residential energy storage in Michigan
作者： Jaesung Jung , Yongju Cho , Danling Cheng , Ahmet Onen , Reza Arghandeh
DOI: 10.1016/J.APENERGY.2013.03.033
关键词: Distributed generation 、 Simulation 、 Energy storage 、 System effects 、 Monte Carlo method 、 Plug-in 、 Automotive engineering 、 Engineering 、 Residential energy 、 Distribution system 、 Resource (project management)
摘要: This paper considers system effects due to the addition of Plug-in Hybrid Vehicles (PHEV) and Distributed Energy Resource (DER) generation. The DER PHEV are considered with energy storage technology applied residential distribution load. Two future year scenarios considered, 2020 2030. models used real circuits located near Detroit, Michigan, every customer load on circuit type modeled. Monte Carlo simulations randomly select customers that receive PHEV, DER, and/or systems. provide not only expected average result, but also its uncertainty. adoption investigated for both summer winter loading conditions.
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