Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators: Preprint
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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Grid Modernization Laboratory Consortium
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1364143
- Report Number(s):
- NREL/CP-5D00-67400
- Resource Relation:
- Conference: To be presented at the 2017 IEEE Power and Energy Society General Meeting, Chicago, Illinois, 16-20 July 2017
- Country of Publication:
- United States
- Language:
- English
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