ANZCC 2019 Paper Abstract

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Paper TB1.1

Segundo Sevilla, Felix Rafael (ZHAW), Dobrowolski, Jean (Zurich University of Applied Sciences ZHAW), Obusevs, Artjoms (Zurich University of Applied Sciences ZHAW), Korba, Petr (Zurich University of Applied Sciences)

Detection of Frequency Deviations for Monitoring of Power Systems

Scheduled for presentation during the Regular Session "Modelling, Filtering, and Networked Control" (TB1), Thursday, November 28, 2019, 13:15−13:30, WZ Building Room WZ416

2019 Australian & New Zealand Control Conference (ANZCC), November 27-29, 2019, Auckland, New Zealand

This information is tentative and subject to change. Compiled on September 25, 2020

Keywords Real-time Systems, Signal Processing, Fault Detection

Abstract

In this work an algorithm for identification of power system frequency deviation is presented. The proposed approach can be used to monitor frequency measurements from syncrophasor measurement units (PMU) and to store data only for important events and save storage in the local server. The detection algorithm use a sliding window that rise a flag if the measured frequency deviates from a predefined set point. If the alarm flag is constant over several sliding windows, an event is captured and locally stored for further analysis. To demonstrate the effectiveness of the proposed approach, real PMU measurements from the Swiss power system are used as input.

 

 

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