Flicker characteristic estimation of an AC electric arc furnace

Chen Wen Lu; Shyh Jier Huang; Ching Lien Huang

doi:10.1016/S0378-7796(99)00080-2

Flicker characteristic estimation of an AC electric arc furnace

Chen Wen Lu, Shyh Jier Huang, Ching Lien Huang

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

This paper describes the estimation of the stochastic flicker characteristics for an electric arc furnace (EAF) over a complete heat. These characteristics include stationarity, normality and correlation. Besides, the basic statistical probability were assessed by varying sampling period, too. The estimation and the assessment were implemented by a microcomputer-based instrumentation system. The test results for a typical AC arc furnace show that: (1) most flicker characteristics are stationary or weakly stationary during different periods of a heat cycle, but most of their probability density functions are not normally distributed; (2) the voltage and current fluctuations in the same phase are highly correlated; (3) the flicker converges at a value with a ±5% deviations from the value based on a basic sampling period, if the sampling period is decreased below 12 s.

Original language	English
Pages (from-to)	121-130
Number of pages	10
Journal	Electric Power Systems Research
Volume	54
Issue number	2
DOIs	https://doi.org/10.1016/S0378-7796(99)00080-2
Publication status	Published - 2000 May 1

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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title = "Flicker characteristic estimation of an AC electric arc furnace",

abstract = "This paper describes the estimation of the stochastic flicker characteristics for an electric arc furnace (EAF) over a complete heat. These characteristics include stationarity, normality and correlation. Besides, the basic statistical probability were assessed by varying sampling period, too. The estimation and the assessment were implemented by a microcomputer-based instrumentation system. The test results for a typical AC arc furnace show that: (1) most flicker characteristics are stationary or weakly stationary during different periods of a heat cycle, but most of their probability density functions are not normally distributed; (2) the voltage and current fluctuations in the same phase are highly correlated; (3) the flicker converges at a value with a ±5% deviations from the value based on a basic sampling period, if the sampling period is decreased below 12 s.",

author = "Lu, {Chen Wen} and Huang, {Shyh Jier} and Huang, {Ching Lien}",

note = "Funding Information: The authors are grateful to the National Science Council, Taiwan, for the financial support of the project NSC89-22/3–E–006–097. The help with the signal recording from the HK steel enterprise is also appreciated.",

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AU - Lu, Chen Wen

AU - Huang, Shyh Jier

AU - Huang, Ching Lien

N1 - Funding Information: The authors are grateful to the National Science Council, Taiwan, for the financial support of the project NSC89-22/3–E–006–097. The help with the signal recording from the HK steel enterprise is also appreciated.

PY - 2000/5/1

Y1 - 2000/5/1

N2 - This paper describes the estimation of the stochastic flicker characteristics for an electric arc furnace (EAF) over a complete heat. These characteristics include stationarity, normality and correlation. Besides, the basic statistical probability were assessed by varying sampling period, too. The estimation and the assessment were implemented by a microcomputer-based instrumentation system. The test results for a typical AC arc furnace show that: (1) most flicker characteristics are stationary or weakly stationary during different periods of a heat cycle, but most of their probability density functions are not normally distributed; (2) the voltage and current fluctuations in the same phase are highly correlated; (3) the flicker converges at a value with a ±5% deviations from the value based on a basic sampling period, if the sampling period is decreased below 12 s.

AB - This paper describes the estimation of the stochastic flicker characteristics for an electric arc furnace (EAF) over a complete heat. These characteristics include stationarity, normality and correlation. Besides, the basic statistical probability were assessed by varying sampling period, too. The estimation and the assessment were implemented by a microcomputer-based instrumentation system. The test results for a typical AC arc furnace show that: (1) most flicker characteristics are stationary or weakly stationary during different periods of a heat cycle, but most of their probability density functions are not normally distributed; (2) the voltage and current fluctuations in the same phase are highly correlated; (3) the flicker converges at a value with a ±5% deviations from the value based on a basic sampling period, if the sampling period is decreased below 12 s.

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