Research on auxiliary decision-making of power grid fault recovery based on generative adversarial imitation learning-Reference-Cited by-同舟云学术

Research on auxiliary decision-making of power grid fault recovery based on generative adversarial imitation learning

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
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Author:

Zhang Xiaoming¹^ORCID,Zhou Desheng²^ORCID,Zhou Guangdong²^ORCID,Cao Wenbin¹^ORCID,Wang Mingkai³^ORCID,Wang Chao³^ORCID,Li Hongtao¹^ORCID

Affiliation:

1. Power Dispatching Control Center, State Grid Chaoyang Power Supply Co. Ltd, China

2. Harbin Institute of Technology, China

3. Power Dispatch and Control Center, State Grid Liaoning Electric Power Supply Co. Ltd, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584376.3584578

Reference12 articles.

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3. Network reconfiguration algorithm for automated distribution systems based on artificial intelligence approach

4. IOPADS (intelligent operational planning aid for distribution systems)

5. Chaoqiang Ge , Guoqing Tang and Lei Wang . 2000 . Comprehensive intelligent fault recovery expert system-self-learning fuzzy expert system combined with fault recovery algorithm set. Power system automation, 24 (2), 5. DOI:10.3321/j. issn: 1000-1026. 2000. 02. 003 10.3321/j Chaoqiang Ge, Guoqing Tang and Lei Wang. 2000. Comprehensive intelligent fault recovery expert system-self-learning fuzzy expert system combined with fault recovery algorithm set. Power system automation, 24 (2), 5. DOI:10.3321/j. issn: 1000-1026. 2000. 02. 003