.png){kind=icon}
返回
Decentralized Additive Increase and Multiplicative Decrease-Based Electric Vehicle Charging
.png){kind=icon}
OA
AI
DOI：10.1109/JSYST.2020.3013189.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Electric vehicle (EV) transition and low-cost renewable energy generation are putting power grid under a challenging transformation. Number of power electronics actuators connected to the grid is increasing, and the legacy control methods employed on the grid are not responsive to this growing demand. Thus, the grid integration of EVs and their charging management requires a system-wide solution that is scalable, autonomous, and stable. In this article, we investigate two very complex networks: Internet and power grid in the context of controlling mass-scale EV charging problem. We adapt the well-known additive increase-multiplicative decrease (AIMD) algorithm used in the Internet congestion control to EV charging in a distributed fashion. We develop an adaptation of the Internet's congestion control method for power grid considering the unique grid constraints using a decentralized concept. The advantage of the proposed method lies in its low-cost (memory-less) congestion detection mechanism based on only local voltage measurements. Results show that decentralized AIMD can successfully help flatten the peak loading caused by high EV penetration. To test the algorithm, a distribution grid model is designed based on IEEE 37-node test feeder with realistic load modeling. Finally, the results are presented in comparison with two other control architectures.
Keyword:
Electric vehicle charging
Internet
Heuristic algorithms
Threshold voltage
Additives
Voltage measurement
Artificial intelligence
Additive increase-multiplicative decrease (AIMD)
decentralized control
electric vehicles (EV)
grid integration
peak shaving
smart charging
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
2.4
论文数:
4.5K
被引数:
387
机构
引用论文
.png){kind=icon}
Flexible Charging Optimization for Electric Vehicles Considering Distribution Grid Constraints考虑配电网约束的电动汽车柔性充电优化
PREAI
分享收藏分享收藏Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses
PREAI
分享收藏
查看更多内容