Stochastic Dual Algorithm for Voltage Regulation in Distribution Networks with Discrete Loads

Emiliano Dall-Anese, Xinyang Zhou, Zhiyuan Liu, Lijun Chen

Research output: Contribution to conferencePaperpeer-review

4 Scopus Citations

Abstract

This paper considers power distribution networks with distributed energy resources and designs an incentive-based algorithm that allows the network operator and customers to pursue given operational and economic objectives while concurrently ensuring that voltages are within prescribed limits. Heterogeneous DERs with continuous and discrete control commands are considered. We address four major challenges: discrete decision variables, non-convexity due to a Stackelberg game structure, unavailability of private information from customers, and asynchronous operation. Starting from a non-convex setting, we develop a distributed stochastic dual algorithm that solves a relaxed problem, and prove that the proposed algorithm achieves the global optimal solution of the original problem on average. Feasible values for discrete decision variables are also recovered. Stability of the algorithm is analytically established and numerically corroborated.

Original languageAmerican English
Pages405-410
Number of pages6
DOIs
StatePublished - 2 Jul 2017
Event2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 - Dresden, Germany
Duration: 23 Oct 201726 Oct 2017

Conference

Conference2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
Country/TerritoryGermany
CityDresden
Period23/10/1726/10/17

Bibliographical note

See NREL/CP-5D00-68609 for preprint

NREL Publication Number

  • NREL/CP-5D00-72262

Keywords

  • convex relaxation
  • Discrete variables
  • distributed stochastic dual algorithm
  • voltage regulation

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