Unsupervised machine learning techniques applied to composite reliability assessment of power systems
Author:
Affiliation:
1. Department of Electrical Engineering Federal University of São João del‐Rei ‐ UFSJ São João del‐Rei Brazil
2. Department of Electrical Engineering Pontifical Catholic University of Rio de Janeiro ‐ PUC‐Rio Rio de Janeiro Brazil
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.13109
Reference39 articles.
1. A Method for Transmission System Expansion Planning Considering Probabilistic Reliability Criteria
2. Reliability worth applied to transmission expansion planning based on ant colony system
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4. Enhancing the situational awareness of voltage security region via probabilistic reliability evaluation
5. Composite generation/transmission reliability evaluation
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