Integrated Hardware System for Power Quality Disturbance Classification
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Azah Mohamed
Detection and classification of power quality (PQ) disturbances in real-time is an important consideration to electric utilities and many industrial customers so that diagnosis and mitigation of such disturbances can be implemented quickly. This paper presents the design and development of an integrated hardware system for classification of PQ disturbances using the rule based system. A hardware system has been designed using advanced digital signal processor to provide fast data capture and processing of signals using the S-transform analysis. Distinct features of various disturbances are extracted from the S-transform analysis in which these features are used to formulate rules. A rule based expert system is developed to automate the process of classifying the various types of disturbances. The disturbance classification results prove that the developed rule based system is more accurate than the neural network approaches in classifying PQ disturbances such as voltage sag, swell, impulsive transient, notching and interruption.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Articles in the same Issue
- Article
- Integrated Hardware System for Power Quality Disturbance Classification
- An Electroscope System Based on Electric Field Measurement Method for UHV Transmission Lines
- Robust Frequency Control of Wind-Diesel Hybrid Power System Using Superconducting Magnetic Energy Storage
- Compact Covered Distribution Lines Supported by Triangle Spacers: Configuration and Benefits
- Compact Covered Distribution Lines Supported by Triangle Spacers: Spacer Design
- Empirical Research on Efficiency of the Electricity Futures Market
- Electrical Treeing in Polymer Nanocomposites
