Hierarchical Management of Distributed Energy Resources Using Chance-Constrained OPF and Extremum Seeking Control: Preprint

Research output: Contribution to conferencePaper

Abstract

Distributed energy resources (DERs) are becoming an important part of distribution systems because of their economic and environmental benefits. Although their inherent intermittency and volatility introduce uncertainties into the system, they have potential to provide controllability to the system under proper coordination. In this paper, we propose a hierarchical control algorithm for distribution systems with DERs so that they have controllability similar to that of a generator bus. The upper level scheduler solves a chance-constrained optimal power flow (OPF) problem to plan the operation of the DERs based on forecasts, and the lower level distributed DER controllers leverage the extremum seeking approach to deliver the planned power at the feeder head. The proposed algorithm is tested on a modified IEEE 13-node feeder, demonstrating its effectiveness.
Original languageAmerican English
Number of pages11
StatePublished - 2019
EventAmerican Control Conference - Philadelphia, Pennsylvania
Duration: 10 Jul 201912 Jul 2019

Conference

ConferenceAmerican Control Conference
CityPhiladelphia, Pennsylvania
Period10/07/1912/07/19

Bibliographical note

See NREL/CP-5000-75053 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5D00-73404

Keywords

  • chance-constrained
  • distributed energy resources
  • extremum seeking control
  • OPF
  • optimal power flow

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