<?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 Collection:</title>
  <link rel="alternate" href="http://item.bettergrids.org/handle/1001/92" />
  <subtitle />
  <id>http://item.bettergrids.org/handle/1001/92</id>
  <updated>2026-05-01T16:52:40Z</updated>
  <dc:date>2026-05-01T16:52:40Z</dc:date>
  <entry>
    <title>GenX</title>
    <link rel="alternate" href="http://item.bettergrids.org/handle/1001/754" />
    <author>
      <name />
    </author>
    <id>http://item.bettergrids.org/handle/1001/754</id>
    <updated>2026-04-16T21:29:16Z</updated>
    <published>2025-07-12T00:00:00Z</published>
    <summary type="text">Title: GenX
Abstract: GenX is a highly-configurable open-source electricity resource capacity expansion model that incorporates several state-of-the-art practices in electricity system planning to offer improved decision support for a changing electricity landscape. GenX is a constrained linear or mixed integer linear optimization model that determines the portfolio of electricity generation, storage, transmission, and demand-side resource investments and operational decisions to meet electricity demand in one or more future planning years at lowest cost, while subject to a variety of power system operational constraints, resource availability limits, and other imposed environmental, market design, and policy constraints.</summary>
    <dc:date>2025-07-12T00:00:00Z</dc:date>
  </entry>
  <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>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>CURENT Large Scale Testbed North American Grid with Dynamics</title>
    <link rel="alternate" href="http://item.bettergrids.org/handle/1001/532" />
    <author>
      <name>Hantao, Cui</name>
    </author>
    <author>
      <name>Denis, Osipov</name>
    </author>
    <author>
      <name>Yidan, Lu</name>
    </author>
    <id>http://item.bettergrids.org/handle/1001/532</id>
    <updated>2019-02-23T02:41:03Z</updated>
    <published>2019-01-01T00:00:00Z</published>
    <summary type="text">Title: CURENT Large Scale Testbed North American Grid with Dynamics
Authors: Hantao, Cui; Denis, Osipov; Yidan, Lu</summary>
    <dc:date>2019-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

