<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Monitoring the quality indicators at the interface nodes between the distribution operator and the industrial users is extremely important in order to provide the electric power quality standard level. The power quality has a significant effect on the economic indicators of the distribution network and represents an essential parameter in order to evaluate the performances of the network. The first part of the paper aims to identify some disruptive consumers in the system and the simultaneous measurement of the consumers in order to highlight the effects of the disturbances on the network and on the other consumers of the powers in the system. In the second part of this paper, a program for classifying the data recorded, as result of the monitoring of the power quality is developed. Final part contains conclusion a proposal for some measures in order to align all the quality indicators within the permissible values.</p></abstract>

Monitoring the quality indicators at the interface nodes between the distribution operator and the industrial users is extremely important in order to provide the electric power quality standard level. The power quality has a significant effect on the economic indicators of the distribution network and represents an essential parameter in order to evaluate the performances of the network. The first part of the paper aims to identify some disruptive consumers in the system and the simultaneous measurement of the consumers in order to highlight the effects of the disturbances on the network and on the other consumers of the powers in the system. In the second part of this paper, a program for classifying the data recorded, as result of the monitoring of the power quality is developed. Final part contains conclusion a proposal for some measures in order to align all the quality indicators within the permissible values.

Neural Networks Used In The Evaluation Of Power Quality

Faculty of Engineering, Department of Computer Science and Electrical Engineering, Lucian Blaga University of Sibiu, Romania

FDEE Electrica Distribution Transilvania South, SDEE Sibiu, Romania

Acta Universitatis Cibiniensis. Technical Series

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Neural Networks Used In The Evaluation Of Power Quality"}

Monitoring the quality indicators at the interface nodes between the distribution operator and the industrial users is extremely important in order to provide...

Neural Networks Used In The Evaluation Of Power Quality

Online veröffentlicht: 23. Sept. 2015

Seitenbereich: 202 - 207

DOI: https://doi.org/10.1515/aucts-2015-0054

Schlüsselwörter
power quality, electromagnetic disturbance, quality indicators, monitoring power quality, neural network

© Volosciuc Sorin Dan et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Neural Networks Used In The Evaluation Of Power Quality

Online veröffentlicht: 23. Sept. 2015

Seitenbereich: 202 - 207

DOI: https://doi.org/10.1515/aucts-2015-0054

Schlüsselwörterpower quality, electromagnetic disturbance, quality indicators, monitoring power quality, neural network

© Volosciuc Sorin Dan et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
power quality, electromagnetic disturbance, quality indicators, monitoring power quality, neural network