Electric pollution studies in mesh type MTDC system using neural network

Electric pollution studies in mesh type MTDC system using neural network

The authors propose a neural network identifier to estimate the electric pollution (harmonics) contents present in the voltage and current signals of a mesh type multi terminal direct current (MTDC) system under dynamic conditions. A digital computer program has been developed to implement the neura...

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Bibliographische Detailangaben
Hauptverfasser: Narendra, K.G., Chandrasekharaiah, H.S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Differential equations
Fourier series
Intelligent networks
Matrix converters
Neural networks
Pollution
Polynomials
Power harmonic filters
Symmetric matrices
Voltage
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Beschreibung
Zusammenfassung:The authors propose a neural network identifier to estimate the electric pollution (harmonics) contents present in the voltage and current signals of a mesh type multi terminal direct current (MTDC) system under dynamic conditions. A digital computer program has been developed to implement the neural network and a modified form of Fourier series representation which improves the accuracy of the results is discussed.< >
DOI:10.1109/ANN.1993.264322