  With increasing penetration and improving fast charging technologies, Plug-in
Electric Vehicles (PEV) exert a disruptive influence on power delivery systems.
The impulsive and high power-density characteristics of PEV make conventional
assessment methods of load impact unsuitable. This paper proposes an integrated
method to investigate the long-term impact of PEV charging on temporal response
and depreciation of grid assets in sub-transmission and distribution grid
levels (below 69kV). Compared to conventional methods, the proposed method
embeds dynamical system models of grid assets in Time-Series (TS) analysis and
captures stochastic charging behavior through Monte-Carlo simulation, promising
more robust and accurate assessment. Under the proposed method, the Total Cost
of Ownership (TCO) of grid assets formulation is re-established. The results of
this paper will enable utilities to quantify the capital and operation cost of
grid assets induced under various PEV penetration level and during any time
span of interest.

Signal Processing