<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>BetterGrids Community:</title>
  <link rel="alternate" href="http://item.bettergrids.org/handle/1001/90" />
  <subtitle />
  <id>http://item.bettergrids.org/handle/1001/90</id>
  <updated>2026-04-15T19:23:56Z</updated>
  <dc:date>2026-04-15T19:23:56Z</dc:date>
  <entry>
    <title>Reliability Test System–Grid Modernization Lab Consortium</title>
    <link rel="alternate" href="http://item.bettergrids.org/handle/1001/732" />
    <author>
      <name />
    </author>
    <id>http://item.bettergrids.org/handle/1001/732</id>
    <updated>2024-12-17T22:46:59Z</updated>
    <published>2022-03-07T00:00:00Z</published>
    <summary type="text">Title: Reliability Test System–Grid Modernization Lab Consortium
Abstract: The Reliability Test System–Grid Modernization Lab Consortium is a modernized, medium-scale test data set with many features of modern electric power systems.&#xD;
&#xD;
Three layers of maps labeled (top) Node Network, (middle) Wind Resource, and (bottom) Solar Resource.&#xD;
The development and testing of controls, analytics, and optimization require tangible, accessible data that exhibit realistic phenomena. The Institute of Electrical and Electronics Engineers Reliability Test System has many desirable features. This updated version introduces a generation mix that is more representative of modern power systems by removing several nuclear- and oil-based generating units and adding natural gas, wind, solar photovoltaics, concentrating solar power, and energy storage.&#xD;
&#xD;
The update also assigns the test system a geographic location in the southwestern United States to enable the integration of spatio-temporally consistent wind, solar, and load data with forecasts. Additional updates include common reliability test system transmission modifications in published literature, definitions for reserve product requirements, and market simulation descriptions to enable benchmarking of multiperiod power system scheduling problems.</summary>
    <dc:date>2022-03-07T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Open Access Power-Grid Frequency Database</title>
    <link rel="alternate" href="http://item.bettergrids.org/handle/1001/724" />
    <author>
      <name />
    </author>
    <id>http://item.bettergrids.org/handle/1001/724</id>
    <updated>2024-05-02T20:03:04Z</updated>
    <published>2020-08-20T00:00:00Z</published>
    <summary type="text">Title: Open Access Power-Grid Frequency Database
Abstract: This repository stores and links the openly available power-grid frequency recordings across the globe. This database is comprised of open data existent across three dimensions: - TSO data: Transmission System's Operator (TSO) recordings made public; - Research projects: Open-data database research projects; - Independent Gatherings: Industrial, private, or personal recordings that were made publicly available.</summary>
    <dc:date>2020-08-20T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Data from: Transmission line data of different fault instances retrieved through Phasor Measurement Unit (PMU)</title>
    <link rel="alternate" href="http://item.bettergrids.org/handle/1001/723" />
    <author>
      <name />
    </author>
    <id>http://item.bettergrids.org/handle/1001/723</id>
    <updated>2024-05-02T20:02:39Z</updated>
    <published>2023-08-20T00:00:00Z</published>
    <summary type="text">Title: Data from: Transmission line data of different fault instances retrieved through Phasor Measurement Unit (PMU)
Abstract: This study presents a dataset comprising time series data pertaining to different electrical grid scenarios, encompassing both fault-free instances and occurrences of short circuits. The dataset was meticulously created by simulating various fault scenarios using the ePMU DSA tools and Matlab Simulink. To capture these scenarios, a Phasor Measurement Unit (PMU) was deployed on a transmission line simulation model. Given the impracticality and potential risks associated with generating actual faults in a real power grid, this approach of simulating faulty scenarios through advanced tools has proven to be a reliable and effective methodology in the field of electrical grid studies. The resulting dataset offers valuable insights into power grid behavior during both normal and faulted conditions, thereby serving as a valuable resource for researchers and practitioners in the domain of power systems and fault analysis.</summary>
    <dc:date>2023-08-20T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Grid Optimization (GO) Final Event Dataset</title>
    <link rel="alternate" href="http://item.bettergrids.org/handle/1001/674" />
    <author>
      <name>Go Competition Team</name>
    </author>
    <id>http://item.bettergrids.org/handle/1001/674</id>
    <updated>2023-08-28T17:59:39Z</updated>
    <published>2021-01-09T00:00:00Z</published>
    <summary type="text">Title: Grid Optimization (GO) Final Event Dataset
Authors: Go Competition Team
Abstract: This dataset represents the final GO competition event dataset, posted December 3, 2019 on the competition site.&#xD;
&#xD;
The resources attached to this dataset represent:&#xD;
- Real-Time (used with Divisions 1 and 3; 10 minute time limit for code1) ,&#xD;
- Offline (used with Divisions 2 and 4; 45 minute time limit for code1).&#xD;
&#xD;
Each resource (zip file) consists of 17 Network Models with 20 scenarios each. The * in the Network Model name is replaced with either R for Real-Time (Divisions 1 and 3), or O for Offline (Divisions 2 and 4). The only difference is the starting information (5 variables) in the raw files. Each resource contains, for each scenario, the following types of data:&#xD;
- .raw - the power flow network configuration data file,&#xD;
- .rop - the cost function data file,&#xD;
- .inl - the participation factor data file,&#xD;
- .con - the contingency description data file (see Input files and format)&#xD;
&#xD;
Important note: The number of contingencies for Network_13 is incorrect in the results information sent to the entrant teams. However, the values provided in the network information file are correct.&#xD;
Citation - Please use this citation in any publication where this data is used: &#xD;
(e.g., Kuchar, Olga Anna. PNWSGD Data Collection: University of Washington Facilities Services Site Tests. United States: N. p., 2015. Web. doi:10.17041/drp/1440577. )</summary>
    <dc:date>2021-01-09T00:00:00Z</dc:date>
  </entry>
</feed>

