A novel software implementation concept for power quality study

Mladen Kezunovic; Yuan Liao

doi:10.1109/61.997935

A novel software implementation concept for power quality study

Mladen Kezunovic, Yuan Liao

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

99 Scopus citations

Abstract

A novel concept for power quality study is proposed. The concept integrates the power system modeling, classifying and characterizing of power quality events, studying equipment sensitivity to the event disturbance, and locating point of event occurrence into one unified frame. Both Fourier and wavelet analyzes are applied for extracting distinct features of various types of events as well as for characterizing the events. A new fuzzy expert system for classifying power quality events based on such features is presented with improved performance over previous neural network based methods. A novel simulation method is outlined for evaluating the operating characteristics of the equipment during specific events. A software prototype implementing the concept has been developed in MATLAB. The voltage sag event is taken as an example for illustrating the analysis methods and software implementation issues. It is concluded that the proposed approach is feasible and promising for real world applications.

Original language	English
Pages (from-to)	544-549
Number of pages	6
Journal	IEEE Transactions on Power Delivery
Volume	17
Issue number	2
DOIs	https://doi.org/10.1109/61.997935
State	Published - Apr 2002

Bibliographical note

Funding Information:
Manuscript received August 25, 1999. This work was supported by the Texas Higher Education Coordinating Board Advanced Technology Program and TXU Electric and Gas and Reliant Energy HL&P. M. Kezunovic is with the Department of Electrical Engineering, Texas A&M University, College Station, TX 77843-3128 USA. Y. Liao is with ABB Electric Systems Technology Institute, Raleigh, NC 27606 USA. Publisher Item Identifier S 0885-8977(02)00536-8.

Funding

Manuscript received August 25, 1999. This work was supported by the Texas Higher Education Coordinating Board Advanced Technology Program and TXU Electric and Gas and Reliant Energy HL&P. M. Kezunovic is with the Department of Electrical Engineering, Texas A&M University, College Station, TX 77843-3128 USA. Y. Liao is with ABB Electric Systems Technology Institute, Raleigh, NC 27606 USA. Publisher Item Identifier S 0885-8977(02)00536-8.

Funders	Funder number
TXU Electric and Gas and Reliant Energy HL&P
Texas Higher Education Coordinating Board Advanced Technology Program

Keywords

Pattern classification
Power quality
Signal processing
Wavelet transforms

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/61.997935

Cite this

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title = "A novel software implementation concept for power quality study",

abstract = "A novel concept for power quality study is proposed. The concept integrates the power system modeling, classifying and characterizing of power quality events, studying equipment sensitivity to the event disturbance, and locating point of event occurrence into one unified frame. Both Fourier and wavelet analyzes are applied for extracting distinct features of various types of events as well as for characterizing the events. A new fuzzy expert system for classifying power quality events based on such features is presented with improved performance over previous neural network based methods. A novel simulation method is outlined for evaluating the operating characteristics of the equipment during specific events. A software prototype implementing the concept has been developed in MATLAB. The voltage sag event is taken as an example for illustrating the analysis methods and software implementation issues. It is concluded that the proposed approach is feasible and promising for real world applications.",

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N2 - A novel concept for power quality study is proposed. The concept integrates the power system modeling, classifying and characterizing of power quality events, studying equipment sensitivity to the event disturbance, and locating point of event occurrence into one unified frame. Both Fourier and wavelet analyzes are applied for extracting distinct features of various types of events as well as for characterizing the events. A new fuzzy expert system for classifying power quality events based on such features is presented with improved performance over previous neural network based methods. A novel simulation method is outlined for evaluating the operating characteristics of the equipment during specific events. A software prototype implementing the concept has been developed in MATLAB. The voltage sag event is taken as an example for illustrating the analysis methods and software implementation issues. It is concluded that the proposed approach is feasible and promising for real world applications.

AB - A novel concept for power quality study is proposed. The concept integrates the power system modeling, classifying and characterizing of power quality events, studying equipment sensitivity to the event disturbance, and locating point of event occurrence into one unified frame. Both Fourier and wavelet analyzes are applied for extracting distinct features of various types of events as well as for characterizing the events. A new fuzzy expert system for classifying power quality events based on such features is presented with improved performance over previous neural network based methods. A novel simulation method is outlined for evaluating the operating characteristics of the equipment during specific events. A software prototype implementing the concept has been developed in MATLAB. The voltage sag event is taken as an example for illustrating the analysis methods and software implementation issues. It is concluded that the proposed approach is feasible and promising for real world applications.

KW - Pattern classification

KW - Power quality

KW - Signal processing

KW - Wavelet transforms

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A novel software implementation concept for power quality study

Abstract

Bibliographical note

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Keywords

ASJC Scopus subject areas

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