Voltage sag analysis case studies

Lamoree, J.; Mueller, Daniel; Vinett, P.; Jones, William H.; Samotyj, M.

doi:10.1109/icps.1993.290587

Cited by 77 publications

(33 citation statements)

References 4 publications

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“…Some studies show that 80% of sags lead to residual voltages larger than 0,6 pu [6][7][8]. Based on this information, the prototype presented here would protect the tested equipments against most of sags.…”

Section: Discussionmentioning

confidence: 92%

Cost effective voltage sag mitigation using square-wave Series Compensators

Pires

Filho

2009

2009 IEEE Energy Conversion Congress and Exposition

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Voltage Series Compensators typically insert a sinusoidal voltage to compensate voltage sags. In order to achieve a sinusoidal waveform, the output circuitry is formed by a PWM inverter with a sinusoidal filter. However, the sag disturbance is a phenomenon that typically occurs during hundreds of milliseconds. Instead of injecting a sinusoidal voltage, this paper proposes a series compensator that injects a square-wave voltage to protect the sensitive loads. The proposed compensator does not need the high switching frequency PWM inverter, thyristor by-pass switches and sinusoidal output filter, reducing the overall cost and volume of the final equipment. This paper presents the proposed series compensator topologies and control. Experimental results are also included to demonstrate the compensator performance when protecting microcomputer and PLC loads.

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Section: Discussionmentioning

confidence: 92%

Cost effective voltage sag mitigation using square-wave Series Compensators

Pires

Filho

2009

2009 IEEE Energy Conversion Congress and Exposition

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“…With it, the low-frequency components of f(t) can be approximated by convolving it with a scaling function at the appropriate scale a, +00 Lf(u,a) Jf(t)-0A ( )dt =(f,'u,a) (4) -Fa a Essentially, a scaling function is the impulse response of a low-pass filter, enabling the extraction of low-frequency information.…”

Section: Wavelet Analysismentioning

confidence: 99%

“…These definitions are based on the conventional RMS The authors are with the Division of Power Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (e-mail: eschen@ntu.edu.sg). measurement method, and this is effective since in most considerations of voltage sag specify duration from 2 ms to several minutes [4][5]. Those that last less than half a cycle are categorized as transients [3] since they cannot be readily measured by the RMS method.…”

Section: Introductionmentioning

confidence: 99%

A Wavelet Transform Method for Characterization of Voltage Variations

Zhu

Chen

2006

2006 International Conference on Power System Technology

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Short duration voltage variation is one of the most commonly encountered power quality disturbances. The severity is generally determined by the remaining voltage RMS magnitude and the duration of the disturbance. These are generally determined through the RMS measurement method, which at times faces difficulties especially with variations of very short duration. This paper proposes an alternative technique to effectively characterize voltage variations of all durations. It uses wavelet analysis to zoom into a high frequency band for the time information, and the fundamental frequency band for the magnitude change. It is shown to be effective even for very short interruption, which is difficult to determine using the RMS method. Compared to other wavelet methods, its low computational requirement makes it suitable for real-time application. Dynamic simulations were used to demonstrate the capability of this method.

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“…However, the distribution lines mostly are overhead with bare aluminum conductor. These lines are vulnerable to outage due to tree, animal, or severe storm, causing the interruption [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Classification fault events using wavelet transform and expert rules

Praditphol

Premrudeepreechacharn

2009

41st North American Power Symposium

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This paper presents a classification faults in electrical power systems. To improve the electric power quality, sources of disturbances must be known and controlled. Power quality disturbance waveform recognition is often troublesome because it involves a broad range of disturbance categories or classes. This is a study of fault events classification using wavelet transformation and expert rule base. Rule base is obtained for using to classify the power quality problems. The combined wavelet transformation with expert rule is able to classify all 4 types of fault events correctly.

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Voltage sag analysis case studies

Cited by 77 publications

References 4 publications

Cost effective voltage sag mitigation using square-wave Series Compensators

Cost effective voltage sag mitigation using square-wave Series Compensators

A Wavelet Transform Method for Characterization of Voltage Variations

Classification fault events using wavelet transform and expert rules

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