Abstract:Electric arc furnaces (EAF) are very large electrical loads and they cause voltage flicker problem in the power system due to their non-linear and random electrical characteristics. Voltage flicker (cyclic and stochastic) causes annoying sensation experienced by human eye and is a very important power quality parameter. In this paper, a MatlabSimulink based flicker severity analysis module has been proposed to analyse voltage flicker in the network under multiple EAF operation fed from a substation. In this mo… Show more
“…As a result, it is critical for a power system operator to understand the system's harmonic behavior [11]- [13]. As mentioned in [14]- [18], harmonic sources, on the other hand, have complicated properties such as nonlinearity and abrupt variations that are difficult to forecast using standard methods the foremost common circumstance that needs harmonic source location is to settle the disputes over who is responsible for harmonic distortions, whether it comes upstream or downstream of the point of common coupling (PCC) [19]- [21].…”
This paper presents the experimental set-up of identification of harmonic source location in the power distribution network using time-frequency analysis, known as S-transform (ST) at the point of common coupling (PCC). S-transform offers high frequency resolution in analyzing the low frequency component and able to represent signal parameters in time-frequency representation (TFR) such as TFR impedance (ZTFR). The proposed method is based on IEEE Std. 1459-2010, ST, and the significant relationship of spectral impedances components (ZS) that been extracted from the ZTFR, consist of the fundamental impedance (Z1) and harmonic impedance (Zh). This experiment was conducted out on an IEEE 4-bus test feeder with a harmonic producing load in numerous different scenarios. The experimental was tested and verified for three consecutive months. The findings of this study reveal that the proposed method provides 100 percent correct identification of harmonic source location.
“…As a result, it is critical for a power system operator to understand the system's harmonic behavior [11]- [13]. As mentioned in [14]- [18], harmonic sources, on the other hand, have complicated properties such as nonlinearity and abrupt variations that are difficult to forecast using standard methods the foremost common circumstance that needs harmonic source location is to settle the disputes over who is responsible for harmonic distortions, whether it comes upstream or downstream of the point of common coupling (PCC) [19]- [21].…”
This paper presents the experimental set-up of identification of harmonic source location in the power distribution network using time-frequency analysis, known as S-transform (ST) at the point of common coupling (PCC). S-transform offers high frequency resolution in analyzing the low frequency component and able to represent signal parameters in time-frequency representation (TFR) such as TFR impedance (ZTFR). The proposed method is based on IEEE Std. 1459-2010, ST, and the significant relationship of spectral impedances components (ZS) that been extracted from the ZTFR, consist of the fundamental impedance (Z1) and harmonic impedance (Zh). This experiment was conducted out on an IEEE 4-bus test feeder with a harmonic producing load in numerous different scenarios. The experimental was tested and verified for three consecutive months. The findings of this study reveal that the proposed method provides 100 percent correct identification of harmonic source location.
“…These variations root of flicker and harmonic problems at the PCC [11]. The generated harmonics also contributed to the conductor overheating, capacitor bank failures and breakdown of electronic system [12]. Therefore, a modelling and analysis of harmonic components that caused by EAF is crucial due to study the characteristics and to solve the problems concerning to EAF [13].…”
Fast and accurate detection of the harmonic and interharmonic contribution of electric arc furnace (EAF) is crucial in identifying and to mitigate the undesired effects to the system. In this paper, periodogram, a fast and accurate technique is introduced for the analysis of the contribution. Based on a rule-based classifier and the threshold settings that referred to the IEEE Standard 1159 2009, the analysis of the harmonic and interharmonic contribution of EAF are carried out successfully. Moreover, the impact of contribution is measured using total harmonic distortion (THD) and total non-harmonic distortion (TnHD). In addition, periodogram also gives 100 percent correct detection and able to analyze the contribution impact. It is proven that the proposed method is accurate, fast and cost efficient for analyzing the impact of harmonic and interharmonic of EAF.
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