Simulation of Optimal Ratio Model of Power System Energy Storage Capacity Based on Grey Clustering Algorithm-Reference-Cited by-同舟云学术

Simulation of Optimal Ratio Model of Power System Energy Storage Capacity Based on Grey Clustering Algorithm

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Networking, Informatics and Computing (ICNETIC)
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Author:

Lu Yi¹,Huang Wuhao²,Qiu Peng¹,Zhang Wenchao³,Ding Chao¹,Cai Xu⁴

Affiliation:

1. State Grid Zhejiang Electric Power Co., LTD. Research Institute,Hangzhou,China,310000

2. Shaoxing Power Supply Company of State Grid Zhejiang Electric Power Company,Shaoxing,China,312000

3. Hangzhou Mobius Tech Co., Ltd,Hangzhou,China,310000

4. Shanghai Jiaotong University,The key Laboratory of Control of Power Transmission and Conversion of Ministry of Education,Department of Electrical Engineering, School of Electronic Information and Electrical Engineering,Shanghai,China,200240

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10236600/10236603/10236769.pdf?arnumber=10236769

Reference12 articles.

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4. Optimal design of battery energy storage system for a wind–diesel off-grid power system in a remote canadian community;wang;IET Generation Transmission & Distribution,2016

5. Optimal allocation method of distributed energy storage location and capacity in distribution network based on variance of network loss sensitivity;peng;Power system protection and control,2019