An Interactive Charging Strategy Model between Electric Vehicles and Distribution Electricity Network

This paper proposes a charging power load forecasting model for electric vehicle (EV). The factors that affect the charging load are considered. The forecasting curve of electric vehicles charging load distribution is simulated by Monte Carlo method. This model reflects the charging demand of users...

Full description

Saved in:

Bibliographic Details
Published in:	2022 5th International Conference on Power Engineering and Renewable Energy (ICPERE) Vol. 1; pp. 1 - 5
Main Authors:	Fan, Zitong, Lie, T. T.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22-11-2022
Subjects:	Coordinated Charging Costs EV Charging Load Load forecasting Monte Carlo Method Monte Carlo methods Power system stability Pricing Real-time systems Vehicle-to-grid
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	This paper proposes a charging power load forecasting model for electric vehicle (EV). The factors that affect the charging load are considered. The forecasting curve of electric vehicles charging load distribution is simulated by Monte Carlo method. This model reflects the charging demand of users in different time period. Then, a coordinated interactive charging strategy model based on Genetic Algorithm (GA) is developed. The daily baseload and real-time pricing are introduced. Based on the charging load forecasting curve, considering the grid side and the user side, a variety of optimized charging cases are established. The simulation study results show that this charging strategy not only enables the grid to carry out orderly regulation of charging load, but also guides users to respond to the electricity price and charge in different periods.
DOI:	10.1109/ICPERE56870.2022.10037405