Research on Capacity Planning of Renewable Energy Grid Integration Based on Effective Short Circuit Ratio-Reference-Cited by-同舟云学术

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Research on Capacity Planning of Renewable Energy Grid Integration Based on Effective Short Circuit Ratio

Published:2020-11-23 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Sustainable Power and Energy Conference (iSPEC)
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Author:

Li Yan,Chi Yongning,Tian Xinshou,Liu Chao,Hu Jianzu,Fan Yiwen,Fan Xiaojie,Xiao Yu,Wang Cong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9350688/9350921/09351108.pdf?arnumber=9351108

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A brain-inspired spiking neural network for the renewable energy short circuit ratio prediction;2023 8th International Conference on Power and Renewable Energy (ICPRE);2023-09-22

2. Renewable Energy Short Circuit Ratio Prediction Considering the Renewable Power Area-Based Influence;2023 International Conference on Power System Technology (PowerCon);2023-09-21

3. Renewable Energy Up-grid Gathering Station Demands Assessment Method;2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC);2023-09-15

4. Fault Seamless Self-Healing Method of Regional Distributed Network Based on the Cooperation of Source-Load-Storage;Sustainability;2023-05-16

5. Development of Large-Scale Green Energy Sources with Grid Integration: Practices and Challenges;March 2023;2023-03

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