Real-time security margin control using deep reinforcement learning

Real-time security margin control using deep reinforcement learning

This paper develops a real-time control method based on deep reinforcement learning aimed to determine the optimal control actions to maintain a sufficient secure operating limit. The secure operating limit refers to the limit to the most stressed pre-contingency operating point of an electric power...

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Bibliographic Details
Main Authors:	Hannes Hagmar, Robert Eriksson, Le Anh Tuan
Format:	Article
Language:	English
Published:	Elsevier 2023-07-01
Series:	Energy and AI
Subjects:	Deep reinforcement learning Preventive control Proximal policy optimization Secure operating limit
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546823000162

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