Black-Box Modeling of Synchronous Generators Using Feedforward Neural Networks
Author:
Affiliation:
1. Electrical institute Nikola Tesla,Automation and Regulation Center,Belgrade,Serbia
2. School of Electrical Engineering,The department of Signals and Systems,Belgrade,Serbia
3. Electrical institute Nikola Tesla,Belgrade,Serbia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10346083/10345782/10346159.pdf?arnumber=10346159
Reference8 articles.
1. Improving Synchronous Generator Parameters Estimation Using $d- q$ Axes Tests and Considering Saturation Effect
2. Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines Under Unknown Measurement Noise Statistics
3. Artificial Neural Network-Based Nonlinear Black-Box Modeling of Synchronous Generators
4. Generation of Multisinusoidal Test Signals for the Identification of Synchronous-Machine Parameters by Using a Voltage-Source Inverter
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