• DocumentCode
    728590
  • Title

    Convexity of structure preserving energy functions in power transmission: Novel results and applications

  • Author

    Dvijotham, Krishnamurthy ; Chertkov, Michael

  • Author_Institution
    Dept. of Comput. & Math. Sci., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    5035
  • Lastpage
    5042
  • Abstract
    It is well-known in the power systems literature that the behavior of the transmission power system (under certain simplifying assumptions) can be used to study the post-fault dynamics of a power system and provide principled estimates on dynamic stability margins. In this paper, we study a special feature of the energy function that has previously received little attention: convexity. We prove that the energy function for structure preserving models of power systems is convex under certain reasonable conditions on phases and voltages. Beyond stability analysis, these convexity results have a number of applications, noticeably, building a provably convergent PF solver, which we discuss in detail in this paper. We also outline potential applications to reformulating Optimum Power Flow (OPF), Model Predictive Control (MPC) and identifying the most probable failure (instanton) as convex optimization problems.
  • Keywords
    convex programming; failure analysis; load flow control; power system dynamic stability; power transmission control; power transmission faults; power transmission reliability; predictive control; MPC; OPF; convergent PF solver; convex optimization problem; dynamic stability margin; model predictive control; optimum power flow; power system post-fault dynamics; power transmission system; structure preserving energy function; Generators; Load modeling; Mathematical model; Power system dynamics; Power system stability; Reactive power; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7172123
  • Filename
    7172123