A quantitative assessment method for electric vehicle acceptance capacity considering orderly charging

Abstract

In this paper, by studying the sensitivity of reliability indicators to the scale of electric vehicles, a new perspective can be found to quantitatively assess the electric vehicle acceptance capacity. Firstly, an EV charging load model and an optimization strategy for orderly peak and valley tariff periods are established; secondly, indicators such as maximum acceptance and reliability sensitivity are proposed to quantitatively characterize the system's ability to withstand EV access; finally, a quantitative assessment method for EV acceptance taking into account orderly charging is proposed in combination with traditional reliability assessment methods, and a significant sampling method is used to improve the sampling simulation efficiency. The quantitative assessment method and metrics can be extended and applied to the actual grid regulation of EV access scale to ensure the safety and reliability of the system.