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Title: Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators

Abstract

As advanced grid-support functions (AGF) become more widely used in grid-connected photovoltaic (PV) inverters, utilities are increasingly interested in their impacts when implemented in the field. These effects can be understood by modeling feeders in real-time simulators and test PV inverters using power hardware-in-the-loop (PHIL) techniques. This paper presents a novel feeder model reduction algorithm using a ruin & reconstruct methodology that enables large feeders to be solved and operated on real-time computing platforms. Two Hawaiian Electric feeder models in Synergi Electric's load flow software were converted to reduced order models in OpenDSS, and subsequently implemented in the OPAL-RT real-time digital testing platform. Smart PV inverters were added to the realtime model with AGF responses modeled after characterizing commercially available hardware inverters. Finally, hardware inverters were tested in conjunction with the real-time model using PHIL techniques so that the effects of AGFs on the feeders could be analyzed.

Authors:
 [1];  [1];  [1]; ORCiD logo [1];  [2];  [2];  [3]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Hawaiian Electric Company
  3. South Dakota State University
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Grid Modernization Laboratory Consortium
OSTI Identifier:
1439545
Report Number(s):
NREL/CP-5D00-71650
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2017 IEEE Power and Energy Society General Meeting, 16-20 July 2017, Chicago, Illinois
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; advanced grid-support functions; power hardware-in-the-loop simulation; network reduction; real-time simulator; smart PV inverter

Citation Formats

Nagarajan, Adarsh, Nelson, Austin A, Prabakar, Kumaraguru, Hoke, Anderson F, Asano, Marc, Ueda, Reid, and Nepal, Shaili. Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators. United States: N. p., 2018. Web. doi:10.1109/PESGM.2017.8273938.
Nagarajan, Adarsh, Nelson, Austin A, Prabakar, Kumaraguru, Hoke, Anderson F, Asano, Marc, Ueda, Reid, & Nepal, Shaili. Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators. United States. doi:10.1109/PESGM.2017.8273938.
Nagarajan, Adarsh, Nelson, Austin A, Prabakar, Kumaraguru, Hoke, Anderson F, Asano, Marc, Ueda, Reid, and Nepal, Shaili. Thu . "Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators". United States. doi:10.1109/PESGM.2017.8273938.
@article{osti_1439545,
title = {Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators},
author = {Nagarajan, Adarsh and Nelson, Austin A and Prabakar, Kumaraguru and Hoke, Anderson F and Asano, Marc and Ueda, Reid and Nepal, Shaili},
abstractNote = {As advanced grid-support functions (AGF) become more widely used in grid-connected photovoltaic (PV) inverters, utilities are increasingly interested in their impacts when implemented in the field. These effects can be understood by modeling feeders in real-time simulators and test PV inverters using power hardware-in-the-loop (PHIL) techniques. This paper presents a novel feeder model reduction algorithm using a ruin & reconstruct methodology that enables large feeders to be solved and operated on real-time computing platforms. Two Hawaiian Electric feeder models in Synergi Electric's load flow software were converted to reduced order models in OpenDSS, and subsequently implemented in the OPAL-RT real-time digital testing platform. Smart PV inverters were added to the realtime model with AGF responses modeled after characterizing commercially available hardware inverters. Finally, hardware inverters were tested in conjunction with the real-time model using PHIL techniques so that the effects of AGFs on the feeders could be analyzed.},
doi = {10.1109/PESGM.2017.8273938},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Feb 01 00:00:00 EST 2018},
month = {Thu Feb 01 00:00:00 EST 2018}
}

Conference:
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