On Probabilistic Flexible Regulation Capability Forecasting for Electric Vehicles-Reference-Cited by-同舟云学术

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On Probabilistic Flexible Regulation Capability Forecasting for Electric Vehicles

Published:2024-05-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE/IAS 60th Industrial and Commercial Power Systems Technical Conference (I&CPS)
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Author:

Ding Zhaohao¹,Lu Qiyuan¹,Wei Xuan¹,Li Xinran¹,Guo Shan²,Gong Chengming³,Hu Yingjian³,Han Yaning³

Affiliation:

1. North China Electric Power University,School of Electrical and Electronic Engineering,Beijing,China

2. Inner Mongolia Electric Power (Group) Co., Ltd.,Inner Mongolia Power Research Institute,Hohhot,China

3. TELD New Energy Co., Ltd.,Intelligent Control Research and Development Center,Tsingtao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562380/10563175/10563654.pdf?arnumber=10563654

Reference14 articles.

1. V2G Capacity Estimation Using Dynamic EV Scheduling

2. Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism

3. Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV Model

4. Forming Dispatchable Region of Electric Vehicle Aggregation in Microgrid Bidding

5. Optimal Dispatch Based on Aggregated Operation Region of EVs Considering Spatio-Temporal Distribution

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