• 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