# Evaluating PEV Impact on Long-Term Cost of Grid Assets

## TL;DR

This paper introduces an integrated, dynamic simulation approach to assess the long-term impact of PEV charging on grid asset depreciation and costs, improving accuracy over traditional methods.

## Contribution

It presents a novel method combining dynamical system models, time-series analysis, and Monte Carlo simulation to evaluate PEV effects on grid asset costs.

## Key findings

- More accurate assessment of grid asset depreciation due to PEVs
- Quantification of long-term costs under various PEV penetration levels
- Enhanced utility decision-making for grid asset management

## Abstract

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.