Long-term charging demand modeling and analysis

Abstract

Long-term charging demand modeling of the plug-in electric vehicles (PEVs) is essential for various sectors involved to promote the proliferation of PEVs and friendly integrate large population of PEVs into power systems. Considering the market penetration development of PEVs will drive the evolution of charging demand, a long-term PEVs charging demand model based on agent-based technology is proposed in this paper, which modeling individual heterogeneous consumers displaying different preferences when making vehicle purchase decisions and charging behaviors as intelligent agents, and the interactions among consumers due to social dynamics are also taken into consideration. Case studies demonstrate the feasibility and effectiveness of the proposed methodology. Furthermore, the factors that affect the market evolution of PEVs and different charging strategies are also analyzed.