May 2019

Conference Paper

Speeding Up the Dissipating Energy Flow Based Oscillation Source Detection

By:
Kirihara, Kenta; Yamazaki, Jun; Chongfuangprinya, Panitarn; Konstantinopoulos, Stavros; Lackner, Christoph; Chow, Joe; Maslennikov, Slava; Liu, Yilu
Journal Name:
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)
Page Number:
1-8
Issue Number:
99
Book Title:
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)
Publication Date:
May 2019
Conference Name:
International Conference on Smart Grid Synchronized Measurements and Analytics (IEEE SGSMA 2019)
Conference Location:
College Station, Texas, United States of America
Conference Sponsor:
IEEE
View DOI Listing:
https://doi.org/10.1109/SGSMA.2019.8784528

Abstract

This paper enhances the Dissipating Energy Flow (DEF) method for forced oscillation source detection. The development focuses on improving the speed of the DEF method for oscillation source detection employed by ISO-NE. This is accomplished by using multi-signal modal estimation and statistical correlation to achieve robustness and detection accuracy. The effectiveness of the proposed method is tested on simulated and actual oscillation data showing that detection and localization can be achieved with shorter data windows. In addition, the utilization of the DEF as an energy filter to minimize false alarm rates is examined. Finally, real PMU data is used to evaluate the consistency of the DEF method and track the actual direction the Dissipating Energy (DE) flows in the power network.

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