• DocumentCode
    2888593
  • Title

    Geometry of feasible injection region of power networks

  • Author

    Zhang, Baosen ; Tse, David

  • Author_Institution
    EECS Dept., Univ. of California, Berkeley, CA, USA
  • fYear
    2011
  • fDate
    28-30 Sept. 2011
  • Firstpage
    1508
  • Lastpage
    1515
  • Abstract
    We investigate the problem of power flow and its implications to the optimization in power networks. To understand how to solve these optimization problems, we look at the injection region of power networks. The injection region of a network is the set of all vectors of power injections, one at each bus, that can be achieved while satisfying the network and operation constraints. If there are no operation constraints, we show the injection region of a network is the set of all injections satisfying the conservation of energy. If the network has a tree topology, we show that the injection region with voltage magnitude, line loss constraints, line flow constraints and certain bus power constraints has the same set of Pareto optimal points as its convex hull. The set of Pareto-optimal points are of interest since these are the the optimal solutions to the minimization of a increasing convex function over the injection region. For non-tree networks, we obtain a weaker result by characterize the convex hull of the voltage constraint injection region for lossless cycles, a lossless cycle with a chord and certain combinations of these networks. The convex hull is of interest since they correspond to optimizing linear functions.
  • Keywords
    Pareto optimisation; distribution networks; transmission networks; Pareto optimal points; bus power constraints; convex hull; feasible injection region; geometry; line flow constraints; line loss constraints; lossless cycles; power flow; power networks optimization; tree topology; voltage magnitude; Approximation methods; Generators; Optimization; Power transmission lines; Transmission line matrix methods; Upper bound; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4577-1817-5
  • Type

    conf

  • DOI
    10.1109/Allerton.2011.6120346
  • Filename
    6120346