Expert System for Classification and Analysis of Power System Events

Styvaktakis, E.; Bollen, Math; Gu, Irene Yu‐Hua

doi:10.1109/mper.2002.4312021

Cited by 97 publications

(58 citation statements)

References 11 publications

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“…Perunicic et al, 1998;Santoso et al, 2000c;Gaouda et al, 2002a;Giang, 2004;He et al, 2006;Mishra et al, 2008. Expert System Based Classifier Santoso et al, 2000b;Styvaktakis et al, 2001;Styvaktakis et al, 2002;Chung et al, 2002;Reaz et al, 2007. Fuzzy Expert System Based Classifiers Dash et al, 2000Thapar et al, 2003;Zhu et al, 2004;Chilukuri et al, 2004;Ortiz et al, 2006;Bizjak et al, 2006.…”

Section: Summary Of Pq Classification Methodsmentioning

confidence: 99%

“…In (Styvaktakis et al, 2001), expert systems have been used for classification of voltage dips. Reference (Styvaktakis et al, 2002) has also proposed an experts system for the classification and analysis of a number of power system events. Beside, few more papers (Kazibwe et al, 1992;Schlabbach 1994;Kezunovic et al, 1999;Reaz et al, 2007) have used the expert system as the PQ classifier.…”

Section: Expert System Based Classifiermentioning

confidence: 99%

See 1 more Smart Citation

Power quality event classification: an overview and key issues

Saxena¹,

Verma²,

Singh³

2010

Int. J. Eng. Sci. Tech

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Power quality (PQ) issue has attained considerable attention in the last decade due to large penetration of power electronics based loads and/or microprocessor based controlled loads. On one hand these devices introduce power quality problem and on other hand these mal-operate due to the induced power quality problems. PQ disturbances/events cover a broad frequency range with significantly different magnitude variations and can be non-stationary, thus, accurate techniques are required to identify and classify these events/disturbances. This paper presents a comprehensive overview of different techniques used for PQ events' classifications. Various artificial intelligent techniques which are used in PQ event classification are also discussed. Major Key issues and challenges in classifying PQ events are critically examined and outlined.

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Section: Summary Of Pq Classification Methodsmentioning

confidence: 99%

Section: Expert System Based Classifiermentioning

confidence: 99%

Power quality event classification: an overview and key issues

Saxena¹,

Verma²,

Singh³

2010

Int. J. Eng. Sci. Tech

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“…In this case only harmonic components are employed. An expert system for classification and analysis of power system events is proposed in (Styvaktakis et al, 2002). Three Kalman filters, one per phase, are applied in order to obtain frequency and harmonic measurements as well as a detection index.…”

Section: Application Of Kalman Filters To Electrical Power Systemsmentioning

confidence: 99%

Estimation of Electrical Power Quantities by Means of Kalman Filtering

Pigazo¹,

Moreno²

2009

Kalman Filter Recent Advances and Applications

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“…A large fault current flows through the path from source to fault, so the voltage drops in the vicinity of the fault location. The waveform due to line fault can be characterized as sharp drop and rise compared to other causes (Styvaktakis, et al, 2002). This rectangular property due to line fault will be used for identification of the relative location and the cause of event.…”

Section: Line Faultsmentioning

confidence: 99%

A Method to Determine the Relative Location of Voltage Sag Source for Power Quality Diagnosis

Ahn

Won

Chung

et al. 2005

IFAC Proceedings Volumes

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Event source locating is very important to improve the power quality level. And it is a helpful way to find the location of the power quality event source to determine the direction of event at each monitor. This paper presents a method to determine the relative location of the source of voltage sag. For this, the relative location of the source is defined first. Then, the main causes of voltage sag are classified and their characteristics are discussed, respectively. From these investigations, the rules to determine the relative location of event source for each cause are proposed and the overall algorithm to identify the relative location and the kind of event source is organized. Finally, the proposed method is applied to the IEEE 13bus test system and it is verified that the method can be helpful to pinpoint the accurate location of the event source.

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Expert System for Classification and Analysis of Power System Events

Cited by 97 publications

References 11 publications

Power quality event classification: an overview and key issues

Power quality event classification: an overview and key issues

Estimation of Electrical Power Quantities by Means of Kalman Filtering

A Method to Determine the Relative Location of Voltage Sag Source for Power Quality Diagnosis

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