Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework

Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework

Generator tripping scheme (GTS) is the most commonly used scheme to prevent power systems from losing safety and stability. Usually, GTS is composed of offline predetermination and real-time scenario match. However, it is extremely time-consuming and labor-intensive for manual predetermination for a...

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Bibliographic Details
Main Authors: Lingkang Zeng, Wei Yao, Ze Hu, Hang Shuai, Zhouping Li, Jinyu Wen, Shijie Cheng
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Deep reinforcement learning
generator tripping scheme
graph convolutional network
invalid action masking
knowledge fusion
Online Access:https://ieeexplore.ieee.org/document/10375964/

Internet

https://ieeexplore.ieee.org/document/10375964/

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