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.
Original language | American English |
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Pages | 1-5 |
Number of pages | 5 |
DOIs | |
State | Published - 29 Jan 2018 |
Event | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017 |
Conference
Conference | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
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Country/Territory | United States |
City | Chicago |
Period | 16/07/17 → 20/07/17 |
Bibliographical note
See NREL/CP-5D00-67400 for preprintNREL Publication Number
- NREL/CP-5D00-71650
Keywords
- Advanced grid-support functions
- Network reduction
- Power hardware-in-the-loop simulation
- Real-time simulator
- Smart PV inverter