Online Model-Free Chance-Constrained Distribution System Voltage Control Using DERs

Haoyi Wang, Yiyun Yao, Junbo Zhao, Fei Ding

Research output: Contribution to conferencePaper


This paper proposes an online data-driven distributed energy resource management system (DERMS) optimization method using chance-constrained formulation to address distribution system voltage regulation. This is achieved via the local sensitivity factor (LSF)-enabled reformulation of the DER control into a linear programming (LP) problem, which is easy and computationally efficient to solve. The LSF is estimated using online measurements and does not need the assumption of node load information. The latter is usually required for existing optimization-based methods but is difficult to obtain in practice. To mitigate measurement uncertainties, a scenario-based chance-constrained formulation is constructed. Compared with other control methods, the results carried out in a realistic distribution system show that the proposed method can effectively eliminate voltage violation issues.
Original languageAmerican English
Number of pages5
StatePublished - 2023

Bibliographical note

See NREL/CP-5D00-84638 for preprint

NREL Publication Number

  • NREL/CP-5D00-88270


  • chance-constrained optimization
  • distribution system voltage control
  • local sensitivity factor


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