Application of reinforcement learning for generating optimal control signal to the IPFC for damping of low-frequency oscillations-Reference-Cited by-同舟云学术

Application of reinforcement learning for generating optimal control signal to the IPFC for damping of low-frequency oscillations

Published:2017-12-21 Issue:2 Volume:28 Page:e2488
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Younesi Abdollah¹^ORCID,Shayeghi Hossein¹²,Moradzadeh Mohammad³

Affiliation:

1. Department of Electrical Engineering; University of Mohaghegh Ardabili; Ardabil Iran

2. Centre of Excellence for Power System Automation and Operation, Department of Electrical Engineering; Iran University of Science and Technology; Tehran Iran

3. Systems Engineering Research Group, Department of Engineering and Technology; University of Huddersfield; UK

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference46 articles.

1. Intelligent power system stabilizer design using adaptive fuzzy sliding mode controller;Farahani;Neurocomputing,2017

2. Reinforcement learning based real-time wide-area stabilizing control agents to enhance power system stability;Hadidi;IEEE Trans Smart Grid,2013

3. Suppression of power system forced oscillations based on PSS with proportional-resonant controller;Feng;Int Trans Electr Energy Syst,2017

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