市中心
亚特兰大
电网
网格
电动汽车
理论(学习稳定性)
计算机科学
功率(物理)
运输工程
地理
工程类
大都市区
考古
物理
机器学习
量子力学
大地测量学
作者
Meiyu Pan,Li Wan,Jin Dong,Chieh Wang
标识
DOI:10.1061/9780784486207.049
摘要
The rapid increase in electric vehicle (EV) charging demand poses a potential risk to power grid stability, particularly as the spatial distribution of this demand remains underexplored. Existing research often focuses on technical optimization models while overlooking the geographic and human dynamics that affect energy consumption. This study addresses this gap by incorporating mobility data to estimate both building energy use and EV charging demand while also considering geographic factors for a better understanding of grid load. Using agent-based simulations and the Open-Source Distribution System Simulator, the study evaluates the effect of various EV penetration scenarios on grid voltage and unbalance. The results show that, although voltage remains within acceptable limits at lower EV penetration rates, significant voltage drop and unbalance occur as EV penetration exceeds 40%, particularly in residential areas with high charging demand. This study offers a framework for integrating spatial analysis and mobility data in power network simulations, providing insights for future EV infrastructure planning.
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