Network Reduction Algorithm for Developing Distribution Feeders for RealTime Simulators: Preprint
Abstract
As advanced gridsupport functions (AGF) become more widely used in gridconnected photovoltaic (PV) inverters, utilities are increasingly interested in their impacts when implemented in the field. These effects can be understood by modeling feeders in realtime systems and testing PV inverters using power hardwareintheloop (PHIL) techniques. This paper presents a novel feeder model reduction algorithm using a Monte Carlo method that enables large feeders to be solved and operated on realtime 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 OPALRT realtime 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 realtime model using PHIL techniques so that the effects of AGFs on the choice feeders could be analyzed.
 Authors:
 Publication Date:
 Research Org.:
 National Renewable Energy Lab. (NREL), Golden, CO (United States)
 Sponsoring Org.:
 USDOE Grid Modernization Laboratory Consortium
 OSTI Identifier:
 1364143
 Report Number(s):
 NREL/CP5D0067400
 DOE Contract Number:
 AC3608GO28308
 Resource Type:
 Conference
 Resource Relation:
 Conference: To be presented at the 2017 IEEE Power and Energy Society General Meeting, Chicago, Illinois, 1620 July 2017
 Country of Publication:
 United States
 Language:
 English
 Subject:
 14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; advanced gridsupport functions; power hardwareintheloop simulation; network reduction; realtime simulator; smart PV inverter
Citation Formats
Nagarajan, Adarsh, Nelson, Austin, Prabakar, Kumaraguru, Hoke, Andy, Asano, Marc, Ueda, Reid, and Nepal, Shaili. Network Reduction Algorithm for Developing Distribution Feeders for RealTime Simulators: Preprint. United States: N. p., 2017.
Web.
Nagarajan, Adarsh, Nelson, Austin, Prabakar, Kumaraguru, Hoke, Andy, Asano, Marc, Ueda, Reid, & Nepal, Shaili. Network Reduction Algorithm for Developing Distribution Feeders for RealTime Simulators: Preprint. United States.
Nagarajan, Adarsh, Nelson, Austin, Prabakar, Kumaraguru, Hoke, Andy, Asano, Marc, Ueda, Reid, and Nepal, Shaili. Thu .
"Network Reduction Algorithm for Developing Distribution Feeders for RealTime Simulators: Preprint". United States.
doi:. https://www.osti.gov/servlets/purl/1364143.
@article{osti_1364143,
title = {Network Reduction Algorithm for Developing Distribution Feeders for RealTime Simulators: Preprint},
author = {Nagarajan, Adarsh and Nelson, Austin and Prabakar, Kumaraguru and Hoke, Andy and Asano, Marc and Ueda, Reid and Nepal, Shaili},
abstractNote = {As advanced gridsupport functions (AGF) become more widely used in gridconnected photovoltaic (PV) inverters, utilities are increasingly interested in their impacts when implemented in the field. These effects can be understood by modeling feeders in realtime systems and testing PV inverters using power hardwareintheloop (PHIL) techniques. This paper presents a novel feeder model reduction algorithm using a Monte Carlo method that enables large feeders to be solved and operated on realtime 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 OPALRT realtime 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 realtime model using PHIL techniques so that the effects of AGFs on the choice feeders could be analyzed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 15 00:00:00 EDT 2017},
month = {Thu Jun 15 00:00:00 EDT 2017}
}

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