Distributed Energy Resource Benchmark Models for Quasi- Static Time-Series Power Flow Simulations

Jason Taylor; Jouni Peppanen; Josh Snodgrass; Denis Mende; Thomas I. Strasser; Mark McGranaghan; Daniel Fonseca; Shengen Chen; Markus Kraiczy; Alex Baitch

Distributed Energy Resource Benchmark Models for Quasi- Static Time-Series Power Flow Simulations

Jason Taylor, Jouni Peppanen, Josh Snodgrass, Denis Mende, Thomas I. Strasser, Mark McGranaghan, Daniel Fonseca, Shengen Chen, Markus Kraiczy, Alex Baitch

Electric Energy Systems

Research output: Other contribution

Abstract

The rapid evolution of DER technologies and applications poses a challenge when modelling these technologies - including inconsistent terminology as well as multiple representations of specific DER types. This technical brochure documents a DER benchmark model framework and a set of initial benchmark models for quasi-static time-series (QSTS) power flow simulations, which are intended as a common reference to understand and verify the performance of existing models as well as support standardization in industry models.

Original language	English
Type	Technical Brochure
Media of output	SC C6 - WG C6.36
Publisher	CIGRE
Number of pages	80
Place of Publication	Paris, France
Volume	906
Publication status	Published - Jun 2023

Research Field

Power System Digitalisation
Power System Planning and Operation

Keywords

distributed energy resource
benchmark model
simulation
power flow analysis
quasi-static
time-series

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://e-cigre.org/publication/906-distributed-energy-resource-benchmark-models-for-quasi-static-time-series-power-flow-simulationsLicence: Other

Cite this

Taylor, J., Peppanen, J., Snodgrass, J., Mende, D., Strasser, T. I., McGranaghan, M., Fonseca, D., Chen, S., Kraiczy, M., & Baitch, A. (2023, Jun). Distributed Energy Resource Benchmark Models for Quasi- Static Time-Series Power Flow Simulations. CIGRE. https://e-cigre.org/publication/906-distributed-energy-resource-benchmark-models-for-quasi-static-time-series-power-flow-simulations

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abstract = "The rapid evolution of DER technologies and applications poses a challenge when modelling these technologies - including inconsistent terminology as well as multiple representations of specific DER types. This technical brochure documents a DER benchmark model framework and a set of initial benchmark models for quasi-static time-series (QSTS) power flow simulations, which are intended as a common reference to understand and verify the performance of existing models as well as support standardization in industry models.",

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author = "Jason Taylor and Jouni Peppanen and Josh Snodgrass and Denis Mende and Strasser, {Thomas I.} and Mark McGranaghan and Daniel Fonseca and Shengen Chen and Markus Kraiczy and Alex Baitch",

year = "2023",

month = jun,

language = "English",

volume = "906",

publisher = "CIGRE",

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Taylor, J, Peppanen, J, Snodgrass, J, Mende, D, Strasser, TI, McGranaghan, M, Fonseca, D, Chen, S, Kraiczy, M & Baitch, A 2023, Distributed Energy Resource Benchmark Models for Quasi- Static Time-Series Power Flow Simulations. CIGRE, Paris, France. <https://e-cigre.org/publication/906-distributed-energy-resource-benchmark-models-for-quasi-static-time-series-power-flow-simulations>

TY - GEN

T1 - Distributed Energy Resource Benchmark Models for Quasi- Static Time-Series Power Flow Simulations

AU - Taylor, Jason

AU - Peppanen, Jouni

AU - Snodgrass, Josh

AU - Mende, Denis

AU - Strasser, Thomas I.

AU - McGranaghan, Mark

AU - Fonseca, Daniel

AU - Chen, Shengen

AU - Kraiczy, Markus

AU - Baitch, Alex

PY - 2023/6

Y1 - 2023/6

N2 - The rapid evolution of DER technologies and applications poses a challenge when modelling these technologies - including inconsistent terminology as well as multiple representations of specific DER types. This technical brochure documents a DER benchmark model framework and a set of initial benchmark models for quasi-static time-series (QSTS) power flow simulations, which are intended as a common reference to understand and verify the performance of existing models as well as support standardization in industry models.

AB - The rapid evolution of DER technologies and applications poses a challenge when modelling these technologies - including inconsistent terminology as well as multiple representations of specific DER types. This technical brochure documents a DER benchmark model framework and a set of initial benchmark models for quasi-static time-series (QSTS) power flow simulations, which are intended as a common reference to understand and verify the performance of existing models as well as support standardization in industry models.

KW - distributed energy resource

KW - benchmark model

KW - simulation

KW - power flow analysis

KW - quasi-static

KW - time-series

M3 - Other contribution

VL - 906

PB - CIGRE

CY - Paris, France

ER -

Distributed Energy Resource Benchmark Models for Quasi- Static Time-Series Power Flow Simulations

Abstract

Research Field

Keywords

UN SDGs

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