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

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 electric power system, they have the 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 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.

Authors:
 [1]; ORCiD logo [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1569443
Report Number(s):
NREL/CP-5D00-75053
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 American Control Conference (ACC), 10-12 July 2019, Philadelphia, Pennsylvania
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; distributed energy resources; chance-constrained; optimal power flow; OPF; extremum seeking control

Citation Formats

Chen, Yue, and Lin, Yashen. Hierarchical Management of Distributed Energy Resources Using Chance-Constrained OPF and Extremum Seeking Control. United States: N. p., 2019. Web.
Chen, Yue, & Lin, Yashen. Hierarchical Management of Distributed Energy Resources Using Chance-Constrained OPF and Extremum Seeking Control. United States.
Chen, Yue, and Lin, Yashen. Thu . "Hierarchical Management of Distributed Energy Resources Using Chance-Constrained OPF and Extremum Seeking Control". United States.
@article{osti_1569443,
title = {Hierarchical Management of Distributed Energy Resources Using Chance-Constrained OPF and Extremum Seeking Control},
author = {Chen, Yue and Lin, Yashen},
abstractNote = {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 electric power system, they have the 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 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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Conference:
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