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A New Technique for Unbalanced Current and Voltage Meas. with ANN
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| Author(s) |
F. J. Alcántara; P. Salmerón; J. Prieto |
| Abstract |
In this paper a new measurement procedure based in neural networks for the estimation of the current
and voltage symmetrical components is presented. The theory foundations are the Park Vectors
representation for a three-phase voltage/current. The measurement system scheme is built with three
neural network blocks. The first block is a feddforward neural network that computes the Park vectors
and the zero phase sequence components. The second block is an adaptative linear neuron
(ADALINE) that estimates the harmonic complex coeficients of the current/voltage Park vectors. A
third block is another feedforward neural network that obtains the symmetrical components of each
individual voltage and current harmonic. Finally, the estimation procedure of the symmetrical
components of a three-phase, unbalanced, nonlinear load current was applied to a practical case. |
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| Filename: | EPE2001 - PP00413 - Salmerón.pdf |
| Filesize: | 255.7 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-03-15 by System |
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