Fuzzy-Wavelet-Based Electric Power Quality Assessment of Distribution Systems Under Stationary and Nonstationary Disturbances

Evaluating the electric power quality (EPQ) becomes very important task due to the widespread use of nonlinear loads, distributed energy resources (DERs) and the economic impact of poor EPQ. In a deregulated environment, having different power quality indices (PQIs) with different values has no sign...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2009-10, Vol.24 (4), p.2099-2106
Main Authors: Morsi, W.G., El-Hawary, M.E.
Format: Article
Language:English
Subjects:
Applied sciences
Distortion
Disturbances
Electric potential
Electric power
Electric power distribution
Electric power generation
Electric utilities
Electrical engineering. Electrical power engineering
Electrical power engineering
Energy resources
Environmental economics
Exact sciences and technology
Fuzzy logic system
Miscellaneous
Nonlinear distortion
nonstationary
Operation. Load control. Reliability
Power electronics, power supplies
power factor
Power generation economics
Power networks and lines
Power quality
power quality (PQ)
Power system economics
Quality assessment
Studies
Time frequency analysis
Various equipment and components
Voltage
Voltage fluctuations
Wavelet
wavelet packet transform (WPT)
Wavelet transforms
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Summary:Evaluating the electric power quality (EPQ) becomes very important task due to the widespread use of nonlinear loads, distributed energy resources (DERs) and the economic impact of poor EPQ. In a deregulated environment, having different power quality indices (PQIs) with different values has no significance unless they are combined into single value that could represent them. In this paper, a new fuzzy-wavelet packet transform based PQI is introduced that amalgamates the recommended PQIs after being redefined in the time-frequency domain using wavelet packet transform for compatibility purposes with nonstationary disturbances. In order to handle the uncertainties associated with the electric power system operations, fuzzy systems are used in this paper. In order to study the effect of wavelet filter length and the choice of the best wavelet basis function, the new fuzzy developed modules along with the reformulated PQIs are used in three case studies considering electric arc furnace load supplied from stationary low distorted voltage, stationary high distorted voltage and nonstationary distorted voltage (voltage dip) in addition to a real case study considering variable speed drive.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2009.2027514