A novel software implementation concept for power quality study Academic Article

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.

authors

• Kezunovic, Mladen

published proceedings

• IEEE TRANSACTIONS ON POWER DELIVERY

author list (cited authors)

• Kezunovic, M., & Liao, Y.

citation count

• 70

complete list of authors

• Kezunovic, M||Liao, Y

publication date

• April 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Power Delivery  Journal

keywords

• Pattern Classification
• Power Quality
• Signal Processing
• Wavelet Transforms

Digital Object Identifier (DOI)

• 10.1109/61.997935

start page

• 544

end page

• 549

volume

• 17

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2F61.997935