ALGORITHMS FOR TIME-VARYING HARMONIC ANALYSIS FOR POWER QUALITY ASSESSMENT APPLICABLE ON MODERN DIGITAL SIGNAL PROCESSORS

Acronym: TVHAPQA
Project ID: ERA 78
Funding including national funding and EC funding:
Total costs: 150,000 SEE-ERA.NET PLUS funding: 133,618
Project duration: 01.12.2010 / 30.09.2012

Summary:
In the next decade, Europe is facing potential energy shortages as oil and gas supplies run down. Together with the requirements for reducing the green house gas emissions, this will lead to increased energy production obtained from renewable sources. These have to be introduced into existing transmission and distribution networks, which are not initially designed to incorporate these kinds of the generation technology in the scale that is required today. During these processes electricity disturbances in the form of voltage magnitude variation and harmonics emission can be created. These disturbances would cause extra losses on the consumer side and the side of power systems operators, as well. As result, the power quality and energy efficiency in the power systems is taken ever more seriously in the last years. In the recent years, lots of methods for detection and identification of power quality disturbances have been published. Vast number of these methods are based on the discrete wavelet transform due to its excellent time and frequency localization properties. The main objective of the proposed project is to investigate the use of adaptive multi-resolution techniques for time-varying harmonic analysis. Accent will be given to wavelet packet analysis and time-varying filter banks. Influence on different filter parameters in wavelet packet structure on harmonics identification will be explored and optimal wavelet packet transform for harmonics analysis will be proposed. Time-varying filter banks structures will be studied and new algorithm for time-varying harmonic analysis will be proposed. The developed algorithm will be deployed on an embedded DSP hardware to perform real-time distributed PQ monitoring. For this purpose, efficient structures called lifting schemes will be used for the adaptive multi-resolution analysis. To the best of our knowledge, it will be the initial research on application of time-varying filter banks for power quality analysis.

Partners involved:

Ss. Cyril and Methodious University - Skopje
Faculty of Electrical Engineering and Information Technologies / Department of Electronic
Karpos II, b.b
1000 Skopje, FYR of Macedonia
Prof. Dimitar Taskovski dtaskov@feit.ukim.edu.mk
Graz University of Technology
Institute of Electrical Power Systems
Inffeldgasse 18/1
8010 Graz, Austria
Prof. Herwig Renner herwig.renner@tugraz.at
University of Nis
Faculty of Electronic Engineering/ Department of Measurement
Aleksandra Medvedeva 14
18000 Nis, Serbia
Prof. Dragan Denic dragan.denic@elfak.ni.ac.rs
University of Maribor
Institute of Automatization, Laboratory for signal processing and remote control
Smetanova ulica 17
2000 Maribor, Slovenia
Prof. Peter Planinsic peter.planinsic@uni-mb.si