Applications of neural networks for the power quality factors measurement - i.e. voltage fluctuations

It can be shown, that many flickermeters do not yield credible output readings although the manufacturers declare their compliance with the requirements of standard IEC 61000-4-15. Modifications or revisions to the standard and increasing the number of requirements, what is currently taking place, s...

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Bibliographic Details
Main Authors: Szlosek, M., Hanzelka, Z.
Format: Conference Proceeding
Language:English
Subjects:
flickermeter
Guidelines
IEC standards
light flicker
Manufacturing
Neural networks
Power measurement
Power quality
Standardization
Voltage fluctuations
Voltage measurement
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Summary:It can be shown, that many flickermeters do not yield credible output readings although the manufacturers declare their compliance with the requirements of standard IEC 61000-4-15. Modifications or revisions to the standard and increasing the number of requirements, what is currently taking place, seem to be interim actions, whose results are dubious. On the other hand, it should be acknowledged that since over ten years the standardization of voltage fluctuations is based on the UIE flickermeter. The author idea is to treat a flickermeter - from its analogue input to the output of block 4 - as a black box, filled in by a designer accordingly to its decision, while maintaining the IN/OUT characteristics in conformity with those of the flickermeter regarded as a standard one. These instructions give you basic guidelines for preparing camera-ready papers for conference proceedings.
ISSN:2150-6647
2150-6655
DOI:10.1109/EPQU.2009.5318836