Abstract
SUMMARYIn this paper, a new technique is proposed for classification of power quality disturbances. The proposed technique is based on the concept of local non‐linear relation to extract the feature specific data. To extract any change occurring in the patterns of power quality events, non‐linear Gaussian functions have been used that result in formation of fuzzy lattices. These fuzzy lattices are expressed in the form of Schrödinger equation to find the kinetic energy involved corresponding to any change occurring in the power quality disturbances. Finally, the kinetic energy parameter embedded in two dimension space has been used to distinguish various power quality events. The proposed technique efficiently distinguishes various real time power quality events in a single cycle. Copyright © 2011 John Wiley & Sons, Ltd.
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