Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks: Preprint

Research output: Contribution to conferencePaper


This paper addresses the design of local control methods for voltage control in distribution networks with high level of distributed energy resources (DERs). The designed control methods adapt the active and reactive power output of distributed energy resources proportional to the deviation of the local measured voltage magnitudes from a reference voltage, which is referred to as droop control. Thus, the design focuses on determining the droop characteristics which satisfy network-wide voltage magnitude constraints. The uncertainty and variability of DERs renders the design of optimal droop controls very challenging. Hence, this paper proposes chance constraints to limit the risk from intermittent DERs, by designing droop control coefficients that guarantee the satisfaction of network operational constraints with a specific probability. In addition, the proposed approach relies entirely on historical data rather than assuming knowledge of the probability distributions that characterize the uncertainty of DERs. The efficacy of the proposed method is demonstrated on a 37-bus distribution feeder.
Original languageAmerican English
Number of pages13
StatePublished - 2022
EventHawaii International Conference on System Sciences -
Duration: 3 Jan 20227 Jan 2022


ConferenceHawaii International Conference on System Sciences

Bibliographical note

See NREL/CP-5D00-86251 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5D00-80428


  • chance-constrained optimization
  • droop control
  • voltage control


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