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

Power Engineers Incorporated
Fraunhofer Institute for Energy Economics and Energy System Technology
Electric Power Research Institute (EPRI)
Sinapsis Energy Innovation
University of Maine
BET Büro für Energiewirtschaft und technische Planung GmbH
BES (Aust) Pty Ltd

Research output: Books and Reports › Report

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
Place of Publication	Paris, France
Publisher	CIGRE
Number of pages	80
Volume	906
ISBN (Electronic)	978-2-85873-611-9
Publication status	Published - Jun 2023

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 13 Climate Action

Research Field

Power System Digitalisation
Power System Planning and Operation

Keywords

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

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). 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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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. vol. 906, CIGRE, Paris, France. <https://e-cigre.org/publication/906-distributed-energy-resource-benchmark-models-for-quasi-static-time-series-power-flow-simulations>

TY - BOOK

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 - Report

VL - 906

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

PB - CIGRE

CY - Paris, France

ER -

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

Abstract

UN SDGs

Research Field

Keywords

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