Resilient Topology Design for EV Charging Network Based on Percolation-Fractal Analytics
Qianyu Dong, Guanyu Zhou, Zhao Xu, Youwei Jia
Abstract
This letter proposes a complex network theory based analytical model for resilient topology design of electric vehicle charging network (EVCN). In particular, percolation-fractal (PF) analytics is adopted in the process of network feature extraction, through which multiple tailor-made indices are constructed to reflect the topological properties of EVCN. In evaluating the topological resilience, a novel metric is proposed by jointly considering the correlation between load loss and topology properties. On top of this, an EVCN planning model is developed by optimally locating charging stations from network perspective. According to preliminary case studies, this gives rise to an average 22.8% resilience increase at the sacrifice of 3.7% loss in system service ability.