skip to main content


This content will become publicly available on July 25, 2018

Title: A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems

Historically, centrally computed algorithms have been the primary means of power system optimization and control. With increasing penetrations of distributed energy resources requiring optimization and control of power systems with many controllable devices, distributed algorithms have been the subject of significant research interest. Here, this paper surveys the literature of distributed algorithms with applications to optimization and control of power systems. In particular, this paper reviews distributed algorithms for offline solution of optimal power flow (OPF) problems as well as online algorithms for real-time solution of OPF, optimal frequency control, optimal voltage control, and optimal wide-area control problems.
ORCiD logo [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [5] ; ORCiD logo [6]
  1. Argonne National Lab. (ANL), Lemont, IL (United States)
  2. Swiss Federal Institute of Technology (ETH), Zurich (Switzerland)
  3. KTH Royal Institute of Technology, Stockholm (Sweden)
  4. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  5. Univ. of Texas at Austin, Austin, TX (United States)
  6. Univ. of California, Berkeley, CA (United States)
Publication Date:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 8; Journal Issue: 6; Journal ID: ISSN 1949-3053
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
Country of Publication:
United States
24 POWER TRANSMISSION AND DISTRIBUTION; electric power systems; Distributed optimization; online optimization
OSTI Identifier: