Energy Management Strategy of Multiple Energy Storage Systems in Urban Railway Based on Train Operating Status-Reference-Cited by-同舟云学术

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Energy Management Strategy of Multiple Energy Storage Systems in Urban Railway Based on Train Operating Status

Published:2023-07-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)
language:
Short-container-title:

Author:

Sun Kaiqi¹,Yang Zhongping¹,Lin Fei¹,Mi Jiayu¹,Ma Xing²,Fu Ang²

Affiliation:

1. School of Electrical Engineering, Beijing Jiaotong University,Beijing,China

2. State Grid Chongqing Electric Power Research Institute,Power Grid Technology Center,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253682/10253683/10253686.pdf?arnumber=10253686

Reference15 articles.

1. Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm

2. Improvement of Energy Efficiency in Light Railway Vehicles Based on Power Management Control of Wayside Lithium-Ion Capacitor Storage

3. Deep-Reinforcement-Learning-Based Energy Management Strategy for Supercapacitor Energy Storage Systems in Urban Rail Transit

4. Decentralized Cooperative Control of Multiple Energy Storage Systems in Urban Railway Based on Multiagent Deep Reinforcement Learning

5. Brake Voltage Following Control of Supercapacitor-Based Energy Storage Systems in Metro Considering Train Operation State

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