Development of a model for predicting flicker from electric arc furnaces

Owing to the characteristics of electric-arc phenomena electric arc furnace loads can result in serious electrical disturbances on a power system. Low level frequency modulation of the supply voltage of less than 0.5% can cause annoying flicker in lamps and invoke public complaints when the frequenc...

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Bibliographic Details
Published inIEEE transactions on power delivery Vol. 7; no. 1; pp. 416 - 426
Main Authors Manchur, G., Erven, C.C.
Format Journal Article Conference Proceeding
LanguageEnglish
Published New York, NY IEEE 01.01.1992
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Digital simulation
Electrical engineering. Electrical power engineering
EMTP
Exact sciences and technology
Frequency modulation
Furnaces
Instruments
Lamps
Miscellaneous
Power system modeling
Predictive models
Signal analysis
Various equipment and components
Voltage fluctuations
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Summary:Owing to the characteristics of electric-arc phenomena electric arc furnace loads can result in serious electrical disturbances on a power system. Low level frequency modulation of the supply voltage of less than 0.5% can cause annoying flicker in lamps and invoke public complaints when the frequency lies in the range of 6-10 Hz. There is a need therefore to develop better techniques to predict flicker effects from single and multiple arc furnace loads and the effects of compensation schemes. The authors discuss the nature of arc furnace loads, and describe the instrumentation, field measurements, and signal analysis techniques which were undertaken to develop an arc furnace model. A single-phase furnace model is proposed suitable for use on digital simulation programs such as the EMTP or other appropriate commercial software simulation programs. Representative results based on actual furnace input data are included to show the validity of the model.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0885-8977
1937-4208
DOI:10.1109/61.108936