Reinforcement Learning for Service Restoration Algorithms in Distribution Networks-Reference-Cited by-同舟云学术

Reinforcement Learning for Service Restoration Algorithms in Distribution Networks

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Industry Applications Society Annual Meeting (IAS)
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Author:

Parra Pablo Alejandro¹,Celeita David²,Ramos Gustavo¹,Martinez Wilmar³,Chaffey Geraint³

Affiliation:

1. Universidad de los Andes,Department of Electrical, and Electronics Engineering,Bogotá,Colombia

2. School of Engineering, Science and Technology, Universidad del Rosario,Bogotá,Colombia

3. KU Leuven,Department of Electrical Engineering (ESAT),EnergyVille,Belgium

Funder

KU Leuven

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9939685/9939671/09939804.pdf?arnumber=9939804

Reference21 articles.

1. Modern network reconfiguration techniques for service restoration in distribution systems: A step to a smarter grid

2. Service restoration in distribution networks using combination of two heuristic methods considering load shedding

3. Multi-Objective Evolutionary Algorithm for single and multiple fault service restoration in large-scale distribution systems

4. Literature review of service restoration in distribution system

5. Resilience-oriented distribution system reconfiguration for service restoration considering distributed generations;yao;IEEE Power and Energy Society General Meeting,2018

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