Feedback Power Cost Optimization in Power Distribution Networks with Prosumers

Guido Cavraro, Andrey Bernstein, Ruggero Carli, Sandro Zampieri

Research output: Contribution to journalArticlepeer-review

4 Scopus Citations


In this article, we propose a feedback control approach for solving optimal power flow (OPF) problems in power distribution networks (DNs) based on a projected gradient scheme, where the cost is given by the sum of functions of local power injections. This approach does not require detailed knowledge of the grid model and enables real-time tracking of the optimal generation configuration. Moreover, the communication burden is minimal: only a broadcast from a central entity, called the Network Supervisor (NS), to the agents in the network is needed. Agents do not have to share local information that can be sensitive, e.g., their power injections or the value of the local costs. Our approach is used to solve a particular OPF problem targeting DNs with high penetration of distributed energy resources (DERs) in which the energy cost is given by the remuneration that the DERs' owners receive for the service they provide.

Original languageAmerican English
Pages (from-to)1633-1644
Number of pages12
JournalIEEE Transactions on Control of Network Systems
Issue number4
StatePublished - 1 Dec 2022

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

NREL Publication Number

  • NREL/JA-5D00-81509


  • Asynchronous control and optimization
  • power distribution networks
  • power system control
  • prosumers


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