• DocumentCode
    2037
  • Title

    Interval Power Flow Analysis Using Linear Relaxation and Optimality-Based Bounds Tightening (OBBT) Methods

  • Author

    Tao Ding ; Rui Bo ; Fangxing Li ; Qinglai Guo ; Hongbin Sun ; Wei Gu ; Gan Zhou

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    177
  • Lastpage
    188
  • Abstract
    With increasingly large scale of intermittent and non-dispatchable resources being integrated into power systems, the power flow problem presents greater uncertainty. In order to obtain the upper and lower bounds of power flow solutions including voltage magnitudes, voltage angles and line flows, Cartesian coordinates-based power flow is utilized in this paper. A quadratically constrained quadratic programming (QCQP) model is then established to formulate the interval power flow problem. This non-convex QCQP model is relaxed to linear programming problem by introducing convex and concave enclosures of the original feasible region. To improve the solutions bounds while still encompassing the true interval solution, optimality-based bounds tightening (OBBT) method is employed to find a better outer hull of the feasible region. Numerical results on IEEE 9-bus, 30-bus, 57-bus, and 118-bus test systems validate the effectiveness of the proposed method.
  • Keywords
    concave programming; linear programming; load flow; quadratic programming; Cartesian coordinates based power flow; OBBT Methods; concave enclosure; convex enclosure; interval power flow analysis; interval power flow problem; line flows; linear programming problem; linear relaxation methods; nonconvex QCQP model; optimality based bounds tightening methods; quadratically constrained quadratic programming; voltage angles; voltage magnitudes; Equations; Linear programming; Mathematical model; Reactive power; Sparse matrices; Uncertainty; Vectors; Convex/concave envelopes; interval power flow; linear relaxation; optimality-based bounds tightening (OBBT); quadratically constrained quadratic programming (QCQP); uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2316271
  • Filename
    6814337