A hybrid intelligence approach for power quality disturbances detection and classification

Author:

Moravej Zahra1,Pazoki Mohammad1,Niasati Mohsen1,Abdoos Ali Akbar2

Affiliation:

1. Electrical and Computer Engineering Faculty; Semnan University; Semnan; Iran

2. Electrical and Computer Engineering Faculty; Babol Noshirvani University of Technology; Babol; Iran

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference31 articles.

1. Handbook of Power Quality

2. IEEE Std 1159-1995 IEEE Recommended Practice for Monitoring Electric Power Quality

3. Applications of the windowed FFT to electric power quality assessment;Heydt;IEEE Transaction Power Delivery,1999

4. A fuzzy-expert system for classifying power quality disturbances;Liao;International Journal of Electrical Power and Energy Systems,2004

5. A Chirp-Z transform-based synchronizer for power system measurements;Aiello;IEEE Transactions on Instrumentation and Measurement,2005

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