IEEE P3436

New IEEE Standard - Active - Draft.
The basic technical guidelines of electric vehicle load forecasting for dispatching systems and load aggregation platforms are specified in this guide. It includes: forecasting scope, data sources, charging load data correction, charging load analysis, sensitivity analysis of charging load influencing factors, short-term charging load forecasting, and super short-term charging load forecasting. At the same time, this guide specifies the requirements for statistical analysis, predictive evaluation, and functional interface based on prediction methods and consumer technologies.

This guide specifies the basic technical requirements of electric vehicle load forecasting for dispatching systems and load aggregation platforms. It includes: forecasting scope, data sources, charging load data correction, charging load analysis, sensitivity analysis of charging load influencing factors, short-term charging load forecasting, and super short-term charging load forecasting. At the same time, this guide specifies the requirements for statistical analysis, predictive evaluation, and functional interface based on prediction methods and consumer technologies.
As associated with energy independence and environmental issue, electric vehicle has become part of the government policy all over the world. The popularity of electric vehicles, which means the charging load, has posed inevitable impacts on the planning and operation of power system. This guide aims to provide electric vehicle charging load forecasting in the power grid. It is to predict the adjustable power of the electric vehicle charging load at different time scales. It is used to evaluate the capacity that can participate in the primary and secondary frequency modulation of the power system, thereby to save the frequency modulation cost, to reduce the frequency adjustment pressure of the power system and promote efficient energy consumption.