Dynamic ADMM for Real-Time Optimal Power Flow

Emiliano Dall-Anese, Yijian Zhang, Mingyi Hong

Research output: Contribution to conferencePaper


This paper considers distribution networks featuring distributed energy resources (DERs), and develops a dynamic optimization method to maximize given operational objectives in real time while adhering to relevant network constraints. The design of the dynamic algorithm is based on suitable linearization of the AC power flow equations, and it leverages the so-called alternating direction method of multipliers (ADMM). The steps of the ADMM, however, are suitably modified to accommodate appropriate measurements from the distribution network and the DERs. With the aid of these measurements, the resultant algorithm can enforce given operational constraints in spite of inaccuracies in the representation of the AC power flows, and it avoids ubiquitous metering to gather the state of noncontrollable resources. Optimality and convergence of the proposed algorithm are established in terms of tracking of the solution of a convex surrogate of the AC optimal power flow problem.
Original languageAmerican English
Number of pages5
StatePublished - 2018
Event2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP) - Montreal, Canada
Duration: 14 Nov 201716 Nov 2017


Conference2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
CityMontreal, Canada

Bibliographical note

See NREL/CP-5D00-68625 for preprint

NREL Publication Number

  • NREL/CP-5D00-71799


  • ADMM
  • alternating direction method of multipliers
  • DERs
  • distributed energy resources
  • distribution systems
  • feed-back control
  • power flow
  • real-time optimization


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