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DOE OSTI · 1364143

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

Nagarajan, Adarsh·Nelson, Austin·Prabakar, Kumaraguru·Hoke, Andy·Asano, Marc·Ueda, Reid·Nepal, Shaili
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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 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.

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14 SOLAR ENERGY24 POWER TRANSMISSION AND DISTRIBUTIONadvanced grid-support functionsnetwork reductionpower hardware-in-the-loop simulationreal-time simulatorsmart PV inverter

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Nagarajan, Adarsh, Nelson, Austin, Prabakar, Kumaraguru, Hoke, Andy, Asano, Marc, Ueda, Reid, Nepal, Shaili. 2017-06-15. Network Reduction Algorithm for Developing Distribution Feeders for Real-Time Simulators: Preprint. https://www.osti.gov/biblio/1364143

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