Power system transient security assessment based on deep learning considering partial observability

Electric Power Systems Research ◽

10.1016/j.epsr.2021.107736 ◽

2022 ◽

Vol 205 ◽

pp. 107736

Author(s):

Mehrdad Pournabi ◽

Mohammad Mohammadi ◽

Shahabodin Afrasiabi ◽

Peyman Setoodeh

Keyword(s):

Deep Learning ◽

Power System ◽

Security Assessment ◽

Partial Observability

An Interpretable Deep Learning Method for Power System Dynamic Security Assessment via Tree Regularization

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2021.3133611 ◽

2021 ◽

pp. 1-1

Author(s):

Chao Ren ◽

Yan Xu ◽

Rui Zhang

Keyword(s):

Deep Learning ◽

Power System ◽

System Dynamic ◽

Security Assessment ◽

Learning Method ◽

Dynamic Security ◽

Dynamic Security Assessment

Deep Learning for Power System Security Assessment

2019 IEEE Milan PowerTech ◽

10.1109/ptc.2019.8810906 ◽

2019 ◽

Cited By ~ 2

Author(s):

Jose-Maria Hidalgo Arteaga ◽

Fiodar Hancharou ◽

Florian Thams ◽

Spyros Chatzivasileiadis

Keyword(s):

Deep Learning ◽

Power System ◽

System Security ◽

Security Assessment ◽

Power System Security

Incorporating deep learning of load predictions to enhance the optimal active energy management of combined cooling, heating and power system

Energy ◽

10.1016/j.energy.2021.121134 ◽

2021 ◽

pp. 121134

Author(s):

Yuan Zhou ◽

Jiangjiang Wang ◽

Yi Liu ◽

Rujing Yan ◽

Yanpeng Ma

Keyword(s):

Deep Learning ◽

Power System ◽

Energy Management ◽

Combined Cooling

Wide-area security assessment based on informative variables of power system

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2020.106760 ◽

2021 ◽

Vol 129 ◽

pp. 106760

Author(s):

D.S. Javan ◽

H. Rajabi Mashhadi

Keyword(s):

Power System ◽

Wide Area ◽

Security Assessment

Multi-class support vector machines for static security assessment of power system

Ain Shams Engineering Journal ◽

10.1016/j.asej.2019.07.011 ◽

2020 ◽

Vol 11 (1) ◽

pp. 57-65

Author(s):

Astik Dhandhia ◽

Vivek Pandya ◽

Praghnesh Bhatt

Keyword(s):

Support Vector Machines ◽

Power System ◽

Support Vector ◽

Security Assessment ◽

Vector Machines ◽

Static Security

Power system security assessment using a hybrid expert system/neural network architecture

[Proceedings] 1992 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.1992.230345 ◽

2003 ◽

Cited By ~ 1

Author(s):

H.H. Yan ◽

J.-C. Chow ◽

R. Fischl ◽

R.X. Chen

Keyword(s):

Neural Network ◽

Expert System ◽

Power System ◽

Network Architecture ◽

System Security ◽

Security Assessment ◽

Power System Security ◽

Neural Network Architecture

Probabilistic security assessment for power system operations

Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738) ◽

10.1109/pes.2004.1372788 ◽

2005 ◽

Cited By ~ 57

Author(s):

J. McCalley ◽

S. Asgarpoor ◽

L. Bertling ◽

R. Billinton ◽

H. Chao ◽

...

Keyword(s):

Power System ◽

Security Assessment ◽

Power System Operations

A Deep Learning-Based Feature Extraction Framework for System Security Assessment

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2018.2873001 ◽

2019 ◽

Vol 10 (5) ◽

pp. 5007-5020 ◽

Cited By ~ 19

Author(s):

Mingyang Sun ◽

Ioannis Konstantelos ◽

Goran Strbac

Keyword(s):

Feature Extraction ◽

Deep Learning ◽

System Security ◽

Security Assessment

05/02099 Power system probabilistic security assessment using bayes classifier

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(05)82108-3 ◽

2005 ◽

Vol 46 (5) ◽

pp. 310

Keyword(s):

Power System ◽

Security Assessment ◽

Bayes Classifier

Machine learning approaches to power-system security assessment

IEEE Expert ◽

10.1109/64.621229 ◽

1997 ◽

Vol 12 (5) ◽

pp. 60-72 ◽

Cited By ~ 60

Author(s):

L. Wehenkel

Keyword(s):

Machine Learning ◽

Power System ◽

System Security ◽

Security Assessment ◽

Learning Approaches ◽

Power System Security