Exact Convex Relaxation of Optimal Power Flow in Radial Networks

Type: Article

Publication Date: 2014-06-25

Citations: 328

DOI: https://doi.org/10.1109/tac.2014.2332712

Abstract

The optimal power flow (OPF) problem determines a network operating point that minimizes a certain objective such as generation cost or power loss. It is nonconvex. We prove that a global optimum of OPF can be obtained by solving a second-order cone program, under a mild condition after shrinking the OPF feasible set slightly, for radial power networks. The condition can be checked a priori, and holds for the IEEE 13, 34, 37, 123-bus networks and two real-world networks.

Locations

  • IEEE Transactions on Automatic Control - View
  • arXiv (Cornell University) - View - PDF
  • CaltechAUTHORS (California Institute of Technology) - View - PDF
  • DataCite API - View

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