AW - Archive Walker GUI

[lmramirea1]

Name

Archive Walker GUI

Screenshots

Focus Topic

Offline tool to read and examine phasor measurement unit (PMU) data to detect events and conditions for further analysis

Primary Purpose

Archive Walker (AW) is a tool designed to ingest, analyze, and visualize PMU data and the power system events that can be found within it. It is open source, with development funded by Bonneville Power Administration (BPA) and the US Department of Energy (DOE). The goal of AW is to bring value to archives of PMU data by enabling analysis with a set of built in event detectors and reducing the overhead required to prototype and deploy new analysis methods.

Description

The Archive Walker Software is an offline tool to read and examine phasor measurement unit (PMU) data to detect events and conditions for further analysis. The underlying engine is written in MATLAB, with the GUI written in Visual Basic and Visual C#, with the underlying engine included via the MATLAB runtime toolbox.

The Archive Walker Software GUI is compatible with Microsoft Windows and requires the MathWorks MATLAB R2018a (9.4) runtime binaries, along with the Microsoft .NET framework 4.6.1 or higher, installed. The underlying MATLAB code should be platform agnostic, but has only been tested in the Microsoft Windows environment. Please see the Wiki for information on installing the pre-requisite software packages.

Portions of this software were developed with funding from the Bonneville Power Administration, under the Technology Innovations program (TIP-350). Current development is funded by the Department of Energy, Office of Electricity.

Mathematical Description

No response

Website

https://www.pnnl.gov/copyright/archive-walker-software

Documentation

https://www.pnnl.gov/main/publications/external/technical_reports/PNNL-28016.pdf

Source

https://github.com/pnnl/archive_walker/releases

Year

2018

Institution

PNNL

Funding Source

DOE, Bonneville Power Administration

Publications

1

Publication List

1. Follum, Jim, et al. "Detecting and analyzing power system disturbances in PMU data with the open-source Archive Walker tool." 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2020.

Use Cases

1. Follum, James D., et al. Archive Walker Software: Setting Up and Reviewing Analyses with the Archive Walker GUI. No. PNNL-28016. Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2018.
2. Follum, Jim, et al. "Detecting and analyzing power system disturbances in PMU data with the open-source Archive Walker tool." 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2020
3. Darmis, Orestis, and George N. Korres. "RTDS-supported software-in-the-loop test bed for synchrophasor applications." 2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED). IEEE, 2022.

Infrastructure Sector

• Atmospheric dispersion
• Agriculture
• Biomass
• Buildings
• Communications
• Cooling
• Ecosystems
• Electric
• District heating
• Forestry
• Health
• Hydrogen
• Individual heating
• Land use
• Liquid fuels
• Natural Gas
• Transportation
• Water

Represented Behavior

• Earth Systems
• Employment
• Built Infrastructure
• Financial
• Macro-economy
• Micro-economy
• Policy
• Social

Modeling Paradigm

• Analytics
• Data
• Discrete Simulation
• Dynamic Simulation
• Equilibrium
• Engineering/Design
• Optimization
• Visualization

Capabilities

-Read and examine phasor measurement unit (PMU) data to detect events and conditions for further analysis.
-Detecting and analyzing power system disturbances in PMU data
-Forced Oscillation Detector
-Wind Ramp Detector
-Voltage Stability Detector

Programming Language

• C – ISO/IEC 9899
• C++ (C plus plus) – ISO/IEC 14882
• C# (C sharp) – ISO/IEC 23270
• Delphi
• GAMS (General Algebraic Modeling System)
• Go
• Haskell
• Java
• JavaScript(Scripting language)
• Julia
• Kotlin
• LabVIEW
• Lua
• MATLAB
• Modelica
• Nim
• Object Pascal
• Octave
• Pascal Script
• Python
• R
• Rust
• Simulink
• Swift (Apple programming language)
• WebAssembly
• Zig

Required Dependencies

The underlying engine is written in MATLAB, with the GUI written in Visual Basic and Visual C#, with the underlying engine included via the MATLAB runtime toolbox

What is the software tool's license?

None

Operating System Support

• Windows
• Mac OSX
• Linux
• iOS
• Android

User Interface

• Programmatic
• Command line
• Web based
• Graphical user
• Menu driven
• Form based
• Natural language

Parallel Computing Paradigm

• Multi-threaded computing
• Multi-core computing
• Distributed computing
• Cluster computing
• Massively parallel computing
• Grid computing
• Reconfigurable computing with field-programmable gate arrays (FPGA)
• General-purpose computing on graphics processing units
• Application-specific integrated circuits
• Vector processors

What is the highest temporal resolution supported by the tool?

Months

What is the typical temporal resolution supported by the tool?

Seconds

What is the largest temporal scope supported by the tool?

Months

What is the typical temporal scope supported by the tool?

Seconds

What is the highest spatial resolution supported by the tool?

Facility

What is the typical spatial resolution supported by the tool?

None

What is the largest spatial scope supported by the tool?

Continent

What is the typical spatial scope supported by the tool?

None

Input Data Format

CSV, JSIS

Input Data Description

No response

Output Data Format

CSV, JSIS

Output Data Description

No response

Contact Details

[email protected]

Interface, Integration, and Linkage

No response