Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains

被引：0

作者：

Uebemasser, Stefan ^{[1
]}

Stifter, Matthias ^{[1
]}

Lenz, Gernot ^{[2
]}

Heilmann, Bernhard ^{[2
]}

机构：

[1] AIT Austrian Inst Technol, Dept Energy, Vienna, Austria

[2] AIT Austrian Inst Technol, Mobil Dept, Vienna, Austria

来源：

2014 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE) | 2014年

关键词：

Smart Grid; Electric Vehicles; Distribution Grid; Multi-Agent Simulation; Mobility Behavior;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To create realistic travel chains Markov Chains and Monte Carlo method are used. This includes different travel purposes in different locations, information about departure/arrival times and the distance driven. Individual agents are then generated which represent the EV population of a certain area. Depending on the defined charging infrastructure in the specific grid and the chosen EV model, this agent population can be calibrated for low-and medium voltage grids of different areas as there are rural or urban areas. Different charging strategies are simulated and their effect to the power grid analyzed.

引用

页码：518 / 519

页数：2