Online Estimation of Plant Participation Factors for Automatic Generation Control in Power Systems With Variable Energy Resources
Author:
Affiliation:
1. Institute of Power Engineering, Tomsk Polytechnic University, Tomsk, Russia
2. Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Funder
TPU development program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/28/9832711/09772334.pdf?arnumber=9772334
Reference38 articles.
1. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education
2. New Reduced Model approach for Power System State Estimation Using Artificial Neural Networks and Principal Component Analysis
3. Neural Network Model for False Data Detection in Power System State Estimation
4. Physics-Guided Deep Neural Networks for Power Flow Analysis
5. Achieving 100x Acceleration for N-1 Contingency Screening With Uncertain Scenarios Using Deep Convolutional Neural Network
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