Distributed Optimal Power Flow Using Feasible Point Pursuit

Emiliano Dall-Anese, Ahmed Zamzam, Xiao Fu, Nicholas Sidiropoulos

Research output: Contribution to conferencePaper

Abstract

The AC Optimal Power Flow (OPF) is a core optimization task in the domain of power system operations and control. It is known to be nonconvex (and, in fact, NP-hard). In general operational scenarios, identifying feasible (let alone optimal) power-flow solutions remains hard. This paper leverages the recently proposed Feasible Point Pursuit algorithm for solving the OPF problem to devise a fully distributed procedure that can identify AC OPF solutions. The paper considers a multi-area setting and develops an algorithm where all the computations are done locally withing each area, and then the local controllers have to communicate to only their neighbors a small amount of information pertaining to the boundary buses. The merits of the proposed approach are illustrated through an example of a challenging transmission network.
Original languageAmerican English
Number of pages5
DOIs
StatePublished - 2018
Event2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) - Curacao, Netherlands Antilles
Duration: 10 Dec 201713 Dec 2017

Conference

Conference2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
CityCuracao, Netherlands Antilles
Period10/12/1713/12/17

NREL Publication Number

  • NREL/CP-5D00-68658

Keywords

  • distributed optimization
  • feasible point pursuit
  • optimal power flow
  • successive convex approximation

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