An Artificial Neural Network Based Strategy for Commutation Failure Forecasting in LCC-HVDC Transmission Networks-Reference-Cited by-同舟云学术

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An Artificial Neural Network Based Strategy for Commutation Failure Forecasting in LCC-HVDC Transmission Networks

Published:2023-12-03 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)
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Author:

Mirsaeidi Sohrab¹,Shang Fuxiang¹,Ghaffari Kimia²,He Jinghan¹,Said Dalila Mat³,Muttaqi Kashem M.⁴

Affiliation:

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

2. Beijing Jiaotong University,School of Economics and Management,Beijing,China

3. Universiti Teknologi Malaysia (UTM),School of Electrical Engineering,Johor,Malaysia

4. University of Wollongong,School of Electrical, Computer, and Telecommunications Engineering,Wollongong,Australia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406302/10407105/10407415.pdf?arnumber=10407415

Reference17 articles.

1. Elimination of Commutation Failures of LCC HVDC System with Controllable Capacitors

2. Two-stage stochastic dual dynamic programming for transmission expansion planning with significant renewable generation and N-k criterion

3. Design of wide-area robust damping controller based on the non-convex stable region for inter-area oscillations

4. Automatic Selection Method for Candidate Lines in Transmission Expansion Planning

5. A fast and automatic candidate lines selection approach for transmission expansion planning

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