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

Adarsh Nagarajan, Kumaraguru Prabakar, Anderson Hoke, Marc Asano, Reid Ueda, Shaili Nepal, Austin Nelson

Research output: Contribution to conferencePaper


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 systems and testing PV inverters using power hardware-in-the-loop (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 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 real-time 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 choice feeders could be analyzed.
Original languageAmerican English
Number of pages7
StatePublished - 2017
Event2017 IEEE Power and Energy Society General Meeting - Chicago, Illinois
Duration: 16 Jul 201720 Jul 2017


Conference2017 IEEE Power and Energy Society General Meeting
CityChicago, Illinois

Bibliographical note

See NREL/CP-5D00-71650 for paper as published in IEEE proceedings

NREL Publication Number

  • NREL/CP-5D00-67400


  • advanced grid-support functions
  • network reduction
  • power hardware-in-the-loop simulation
  • real-time simulator
  • smart PV inverter


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