The University of Auckland

Project #126: Feature Extraction and Classification of Power Quality Events

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Description:

Over the past two decades, the landscape of the energy market has been going through a major transformation due to increasing share of non-linear load. The breakthrough progress in the semiconductor technology has enabled a wide-scale deployment of the power electronic converters, adjustable speed drives and consumer electronics. Further, the power electronic converters are the key components in the grid interface of the renewable generation. In this scenario, one of the major challenge faced by the utilities is the deterioration in Power Quality (PQ). Since the success of the remedial action is critically dependent on the nature of the PQ event, the identification of a PQ event is essential in addressing the poor PQ. This project therefore focuses on accurate identification of PQ events.

Objectives:

·  Synthesis of PQ events such as sag, swell, oscillatory transients, harmonics and others through MATLAB and experimental setup

·   Feature Extraction of from the PQ events through Stockwell-Transform

·  Classification of PQ events using several induction algorithms such as k-NN, NB, SVM

Outcome:

Prerequisites

The students must be competent in MATLAB.

Specialisations

Categories

Supervisor

Co-supervisor

Team

Allocated (Not available for preferences)

Lab

Lab allocations have not been finalised