PowerSystems.jl - A Power System Data Management Package for Large Scale Modeling: Article No. 100747

Jose Lara; Clayton Barrows; Daniel Thom; Dheepak Krishnamurthy; Duncan Callaway

doi:10.1016/j.softx.2021.100747

PowerSystems.jl - A Power System Data Management Package for Large Scale Modeling: Article No. 100747

Jose Lara, Clayton Barrows, Daniel Thom, Dheepak Krishnamurthy, Duncan Callaway

University of California, Berkeley

Research output: Contribution to journal › Article › peer-review

Abstract

PowerSystems.jl is a package to organize and manipulate data for the study of energy systems with diverse modeling requirements. This software serves two main purposes: to reduce the burden of large power system data set development, and to promote reproducible research and simulation. PowerSystems.jl implements an abstract hierarchy to represent and customize power systems data and includes data containers for quasi-static and dynamic simulation applications. Key features include efficient management of large quantities of time series data, optimized serialization, and comprehensive validation capabilities. The paper includes detailed discussion and examples for reference.

Original language	American English
Number of pages	8
Journal	SoftwareX
Volume	15
DOIs	https://doi.org/10.1016/j.softx.2021.100747
State	Published - 2021

NREL Publication Number

NREL/JA-5C00-77920

Keywords

energy
Julia
power systems

Access to Document

10.1016/j.softx.2021.100747

https://www.nrel.gov/docs/fy21osti/77920.pdf

Cite this

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title = "PowerSystems.jl - A Power System Data Management Package for Large Scale Modeling: Article No. 100747",

abstract = "PowerSystems.jl is a package to organize and manipulate data for the study of energy systems with diverse modeling requirements. This software serves two main purposes: to reduce the burden of large power system data set development, and to promote reproducible research and simulation. PowerSystems.jl implements an abstract hierarchy to represent and customize power systems data and includes data containers for quasi-static and dynamic simulation applications. Key features include efficient management of large quantities of time series data, optimized serialization, and comprehensive validation capabilities. The paper includes detailed discussion and examples for reference.",

keywords = "energy, Julia, power systems",

author = "Jose Lara and Clayton Barrows and Daniel Thom and Dheepak Krishnamurthy and Duncan Callaway",

year = "2021",

doi = "10.1016/j.softx.2021.100747",

language = "American English",

volume = "15",

journal = "SoftwareX",

issn = "2352-7110",

publisher = "Elsevier B.V.",

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T1 - PowerSystems.jl - A Power System Data Management Package for Large Scale Modeling

T2 - Article No. 100747

AU - Lara, Jose

AU - Barrows, Clayton

AU - Thom, Daniel

AU - Krishnamurthy, Dheepak

AU - Callaway, Duncan

PY - 2021

Y1 - 2021

N2 - PowerSystems.jl is a package to organize and manipulate data for the study of energy systems with diverse modeling requirements. This software serves two main purposes: to reduce the burden of large power system data set development, and to promote reproducible research and simulation. PowerSystems.jl implements an abstract hierarchy to represent and customize power systems data and includes data containers for quasi-static and dynamic simulation applications. Key features include efficient management of large quantities of time series data, optimized serialization, and comprehensive validation capabilities. The paper includes detailed discussion and examples for reference.

AB - PowerSystems.jl is a package to organize and manipulate data for the study of energy systems with diverse modeling requirements. This software serves two main purposes: to reduce the burden of large power system data set development, and to promote reproducible research and simulation. PowerSystems.jl implements an abstract hierarchy to represent and customize power systems data and includes data containers for quasi-static and dynamic simulation applications. Key features include efficient management of large quantities of time series data, optimized serialization, and comprehensive validation capabilities. The paper includes detailed discussion and examples for reference.

KW - energy

KW - Julia

KW - power systems

U2 - 10.1016/j.softx.2021.100747

DO - 10.1016/j.softx.2021.100747

M3 - Article

SN - 2352-7110

VL - 15

JO - SoftwareX

JF - SoftwareX

ER -

PowerSystems.jl - A Power System Data Management Package for Large Scale Modeling: Article No. 100747

Abstract

NREL Publication Number

Keywords

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