Electric Vehicles as a Key Component of Smart Grids

Against the backdrop of growing importance in electric vehicle development, EVs have become a crucial component of smart grids. They effectively address challenges such as energy shortages and environmental pollution. Wireless charging technology further facilitates interaction between electric vehicles and the grid, enhancing their peak-shaving and valley-filling capabilities while improving renewable energy absorption.

This research examines China's electric vehicle development policies and incorporates characteristics of wireless charging technology. Using Monte Carlo simulation (implemented through random sampling algorithms to model travel distance distributions), we extract single-trip mileage data for private EVs. Based on battery charging characteristics (modeled with capacity degradation algorithms) and driving patterns (analyzed via habit profiling functions), we determine initial state of charge (SoC), charging power requirements, and charging initiation times. These parameters feed into a precise mathematical model that predicts wireless charging load profiles for private EVs. Through forecasting charging loads for 2015 and 2020, we gain better insights into evolving EV charging demand trends.

With massive EV integration, grid operation and planning face significant challenges. Therefore, calculating and analyzing future EV charging loads will support smart grid construction and dispatch optimization, ensuring reliable capacity for growing electric vehicle demands. The model incorporates load forecasting algorithms and grid integration simulations to evaluate infrastructure requirements.