DocumentCode :
106730
Title :
An Information-Theoretic Approach to PMU Placement in Electric Power Systems
Author :
Qiao Li ; Tao Cui ; Yang Weng ; Negi, Richa ; Franchetti, F. ; Ilic, Marija D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
4
Issue :
1
fYear :
2013
fDate :
Mar-13
Firstpage :
446
Lastpage :
456
Abstract :
This paper presents an information-theoretic approach to address the phasor measurement unit (PMU) placement problem in electric power systems. Different from the conventional `topological observability´ based approaches, this paper advocates a much more refined, information-theoretic criterion, namely the mutual information (MI) between PMU measurements and power system states. The proposed MI criterion not only includes observability as a special case, but also rigorously models the uncertainty reduction on power system states from PMU measurements. Thus, it can generate highly informative PMU configurations. The MI criterion can also facilitate robust PMU placement by explicitly modeling probabilistic PMU outages. We propose a greedy PMU placement algorithm, and show that it achieves an approximation ratio of (1-1/e) for any PMU placement budget. We further show that the performance is the best that one can achieve, in the sense that it is NP-hard to achieve any approximation ratio beyond (1-1/e) . Such performance guarantee makes the greedy algorithm very attractive in the practical scenario of multi-stage installations for utilities with limited budgets. Finally, simulation results demonstrate near-optimal performance of the proposed PMU placement algorithm.
Keywords :
approximation theory; greedy algorithms; phasor measurement; power system reliability; probability; MI criterion; NP-hard problem; approximation ratio; conventional topological observability; electric power system; greedy PMU placement algorithm; information theory; mutual information; phasor measurement unit; probabilistic PMU outages; uncertainty reduction; Approximation methods; Covariance matrix; Current measurement; Greedy algorithms; Phasor measurement units; Power measurement; Power systems; Electric power systems; greedy algorithm; mutual information; phasor measurement unit; submodular functions;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2012.2228242
Filename :
6395791
Link To Document :
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