Integrated distribution system optimization using a chance-constrained formulation

Sarmad K. Ibrahim, Aaron M. Cramer, Yuan Liao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


The rapidly rising penetration level of distributed generators (DGs) increases the risk of unacceptable voltages in distribution systems. The conventional voltage regulation devices are limited by physical constraints in their ability to perform voltage/var control in response to photovoltaic (PV) output fluctuations. However, the reactive power capability of PV inverters alongside with conventional voltage regulation devices can be used to address this challenge. This paper proposes a integrated volt/var method based on a control action ahead of time to find both the optimal voltage regulation tap settings and PV reactive control parameters in which the maximum expected system performance with respect to a figure of merit of interest can be achieved while maintaining appropriate system voltage magnitudes and considering the uncertainty of PV power injections over the interval of interest. The effectiveness of the proposed method is validated using a modified IEEE 123-node radial distribution system.

Original languageEnglish
Title of host publication2017 North American Power Symposium, NAPS 2017
ISBN (Electronic)9781538626993
StatePublished - Nov 13 2017
Event2017 North American Power Symposium, NAPS 2017 - Morgantown, United States
Duration: Sep 17 2017Sep 19 2017

Publication series

Name2017 North American Power Symposium, NAPS 2017


Conference2017 North American Power Symposium, NAPS 2017
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2017 IEEE.


  • Distributed power generation
  • power distribution
  • reactive power control
  • solar energy
  • voltage control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Electrical and Electronic Engineering


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