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Published August 5, 2018 | Version v1
Conference paper Open

Denoising of PMU Measurements for Accurate Calculation of Transmission Line Parameters

  • 1. KIOS Research and Innovation Center of Excellence, University of Cyprus

Description

Power system transmission line parameters are essential in monitoring and control applications. More specifically, the values of the transmission line parameters are used in state estimation, contingency analysis, and as settings in protection relays. However, the stored transmission line parameters in the control center database often deviate from their actual values, impacting negatively the applications of the power system control center. The use of PMU (Phasor Measurement Unit) measurements is the most convenient and simple way for refining the parameters of the transmission line; however, the contamination of the PMU measurements with noise from the instrument transformers and the communication channels could sometimes deteriorate the accuracy of the calculated parameters. In this paper, the denoising of the PMU measurements using wavelets is proposed prior to the calculation of the transmission line parameters. The proposed approach is used for calculating the transmission line parameters of the IEEE 14-bus system and the results are extensively discussed.

Notes

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. M. Asprou and E. Kyriakides, "Denoising of PMU Measurements for Accurate Calculation of Transmission Line Parameters," IEEE Power and Energy Society General Meeting 2018, Portland, USA, Aug. 2018

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Additional details

Funding

FLEXITRANSTORE – An Integrated Platform for Incresed FLEXIbility in smart TRANSmission grids with STORage Entities and large penetration of Renewable Energy Sources 774407
European Commission
KIOS CoE – KIOS Research and Innovation Centre of Excellence 739551
European Commission