A multiagent deep deterministic policy gradient-based distributed protection method for distribution network

Relay protection system plays an important role in the safe and stable operation of distribution network (DN), and the traditional model-based relay protection algorithms are difficult to solve the impact of the increasing uncertainty caused by distributed generation (DG) access on the security of D...

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Vydané v:	Neural computing & applications Ročník 35; číslo 3; s. 2267 - 2278
Hlavní autori:	Zeng, Peng, Cui, Shijie, Song, Chunhe, Wang, Zhongfeng, Li, Guangye
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.01.2023 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Distributed generation Electricity distribution Image Processing and Computer Vision Laboratories Machine learning Methods Multiagent systems Neural networks Optimization Power supply Probability and Statistics in Computer Science Relay Robotics S.I.: Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021) Security Special Issue on 2021 Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021) Uncertainty Distributed generation Power system protection Distribution system Reinforcement learning Multiagent
ISSN:	0941-0643, 1433-3058
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