Multiple Power Quality Events Analysis
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Abstract
PQ events have become a serious concern for the power system operations.
newlineLiterature in this thesis revolves around different signal processing and classification
newlinetechniques for recognition of PQ events. Volterra series based techniques are the most
newlinesuitable choice for non-linear and non-stationary signal leaving behind all other techniques
newlinebased on basis functions like Fourier transform, STFT, S-transform and Wavelet transform
newlineetc. Therefore, this work revolves around Volterra analysis of PQ events in the power
newlinesystem. Then features are extracted which act as input to the interval type-2 fuzzy based
newlineclassifier and finally the results are compared with other methods which show high
newlineaccuracy of proposed novel technique for detection and classification of power quality
newlineevents.
newlineA novel technique of adaptive finite element method based on sparse features
newlinebased approach explored for analysis of power quality events. The role of adaptive finite
newlineelement method is to generate a unique feature set and type-2 fuzzy system for the purpose
newlineof classification of power quality disturbances with minimum error. The concept of
newlinestiffness matrix is applied on power quality events. The type-2 fuzzy system utilizes the
newlineconcept of membership functions to classify the single and multiple power quality events
newlineand then the proposed method is compared with other methods and finally with traditional
newlinetype-I fuzzy logic approach for classification of power quality events. The results revealed
newlinethat the novel methodology of adaptive FEM can reduce the computation time significantly
newlinewith high accuracy.
newlineIn today s time, maintaining the power quality (PQ) in the electrical system is a
newlinemajor issue between the end user and the utilities due to increase in demand of sensitive
newlinemicroprocessor based controllers, heavy non-linear loads and solid state equipment
newlineattached to the grid.