DocumentCode
135580
Title
Distributed estimation of inter-area oscillation modes in large power systems using alternating direction multiplier method
Author
Nabavi, Sheida ; Chakrabortty, Aranya
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
In this paper we present a distributed algorithmic approach to estimate the electro-mechanical oscillation modes of a large power system network using real-time Synchrophasor measurements of phase angles and frequencies. Considering the underlying network to exhibit strong coherency, we are particularly interested in estimating the inter-area oscillation frequencies and their damping factors in a distributed fashion. For this we first integrate the centralized Prony method with a commonly used distributed optimization algorithm, namely, alternating direction method of multipliers (ADMM), and show how the resulting approach can utilize PMU data to identify the modes of interest asymptotically. We illustrate our results using IEEE 39-bus, and 68-bus power systems, and also show the robustness of our method in face of communication failures.
Keywords
distributed algorithms; estimation theory; optimisation; phasor measurement; power system stability; 68-bus power systems; ADMM; IEEE 39-bus power systems; PMU data; alternating direction multiplier method; centralized Prony method; communication failures; distributed algorithmic approach; distributed estimation; distributed optimization algorithm; electro-mechanical oscillation modes; inter-area oscillation modes; large power system network; phase angles; phase frequency; real-time synchrophasor measurements; Damping; Eigenvalues and eigenfunctions; Estimation; Frequency estimation; Oscillators; Phasor measurement units; Power systems;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6939475
Filename
6939475
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