Chance-constrained ADMM approach for decentralized control of distributed energy resources

Ali Hassan, Yury Dvorkin, Deepjyoti Deka, Michael Chertkov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations


Distribution systems are undergoing a dramatic transition from a passive circuit that routinely disseminates electric power among downstream nodes to the system with distributed energy resources. The distributed energy resources come in a variety of technologies and typically include photovoltaic (PV) arrays, thermostatically controlled loads, energy storage units. Often these resources are interfaced with the system via inverters that can adjust active and reactive power injections, thus supporting the operational performance of the system. This paper designs a control policy for such inverters using the local power flow measurements. The control actuates active and reactive power injections of the inverter-based distributed energy resources. This strategy is then incorporated into a chance-constrained, decentralized optimal power flow formulation to maintain voltage levels and power flows within their limits and to mitigate the volatility of (PV) resources. Our method is shown to improve voltage regulation compliance and reduce power losses.

Original languageEnglish (US)
Title of host publication20th Power Systems Computation Conference, PSCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781910963104
StatePublished - Aug 20 2018
Externally publishedYes
Event20th Power Systems Computation Conference, PSCC 2018 - Dublin, Ireland
Duration: Jun 11 2018Jun 15 2018

Publication series

Name20th Power Systems Computation Conference, PSCC 2018


Other20th Power Systems Computation Conference, PSCC 2018


  • Chance constraints
  • Distribution systems optimal power flow
  • PV generation
  • Uncertainty
  • Voltage regulation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality


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