Application of artificial intelligence techniques to obtain robust dynamic equivalents

This paper presents an application of artificial neural networks (ANN) to power systems. ANN are tested to construct dynamic equivalents, which is considered a hard task in the context of power systems. The main objective is to reproduce the complex voltage at frontier nodes. The simulation results...

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Bibliographic Details
Main Authors: Garcia-Valle, R., Ramirez, J.M.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Artificial neural networks
Humans
Power system dynamics
Power system modeling
Power system planning
Power system simulation
Power system stability
Power system transients
Robustness
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Summary:This paper presents an application of artificial neural networks (ANN) to power systems. ANN are tested to construct dynamic equivalents, which is considered a hard task in the context of power systems. The main objective is to reproduce the complex voltage at frontier nodes. The simulation results prove the applicability and robustness of this innovative approach.
DOI:10.1109/NEUREL.2004.1416531