http://item.bettergrids.org/handle/1001/85 2026-04-08T20:17:27Z http://item.bettergrids.org/handle/1001/737 Title: TEMPO: Transportation Energy & Mobility Pathway Options Model Abstract: The electric vehicle charging dataset—produced using the Transportation Energy & Mobility Pathway Options (TEMPO) model—projects spatially, demographically, and temporally resolved passenger electric vehicle charging demand. The data are hourly annual for 2024-2050 based on 2012 actual meteorological year (AMY) weather; are available for three scenarios of light-duty passenger electric vehicle adoption, 3,108 counties in the contiguous United States (CONUS), 720 household and vehicle types, and two charging types (L1&L2 and DCFC); and were produced by running the TEMPO model at the county-level. The three adoption scenarios are: AEO Reference Case, which is aligned with the U.S. EIA Annual Energy Outlook 2018 EFS High Electrification, which is aligned with the High Electrification scenario of the Electrification Futures Study All EV Sales by 2035, which assumes that average passenger light-duty EV sales reach 50% in 2030 and 100% in 2035 The charging shapes are derived from two key assumptions of which data users should be aware: Ubiquitous charger access: Drivers of vehicles are assumed to have access to a charger whenever a trip is not in progress. Immediate charging: Immediately after trip completion, vehicles are plugged in and charge until they are either fully recharged or taken on another trip. These assumptions result in a bounding case in which vehicle state of charge is maximized at all times. This bounding case would minimize range anxiety, but is based on unrealistically high electric vehicle service equipment (EVSE) (i.e., charger) access, and unrealistic plug-in behavior. (Regarding the latter point, battery electric vehicles [BEVs] are often only plugged in a few times per week, but ubiquitous-immediate charging can result in dozens of charging sessions per week.) 2023-01-01T00:00:00Z http://item.bettergrids.org/handle/1001/736 Title: Test Case Repository for High Renewable Study - 240-bus Western Electricity Coordinating Council Test System Abstract: The 240-bus Western Electricity Coordinating Council (WECC) model in Reduced Network Modeling of WECC as a Market Design Prototype is used as a starting point. On top of this model are these added features: Develop a 2018 base case that reflects the up-to-date generation resource mix, including installed photovoltaic and wind capacities Provide temporal and spatial time-series data of renewables and loads across the WECC for 1 year Add dynamic models that can capture the main dynamic characteristics of the WECC system, including system frequency response and main inter-area oscillation modes. 2020-01-01T00:00:00Z http://item.bettergrids.org/handle/1001/721 Title: Reference data set for a Norwegian medium voltage power distribution system Abstract: This reference data set describes a representative Norwegian radial, medium voltage (MV) electric power distribution system operated at 22 kV. The data set is developed in the Norwegian research centre CINELDI and will in brief be referred to as the CINELDI MV reference system. Data for a real Norwegian distribution system were provided by a distribution grid company. The data have been anonymized and processed to obtain a simplified but still realistic grid model with 124 nodes. The data set consists of the following three parts: 1. Grid data files: describe the base version of the reference system that represents the present-day state of the grid, including information about topology, electrical parameters, and existing load points. 2. Load data files: comprise load demand time series for a year with hourly resolution and scenarios for the possible long-term development of peak load. These data describe an extended version of the reference system with information about possible new load points being added to the system in the future. 3. Reliability data files: contain data necessary for carrying out reliability of supply analyses for the system. The data set is described in detail in the following data article: I. B. Sperstad, O. B. Fosso, S. H. Jakobsen, A. O. Eggen, J. H. Evenstuen, and G. Kjølle, “Reference data set for a Norwegian medium voltage power distribution system,” Data in Brief, 109025, 2023, doi: 10.1016/j.dib.2023.109025. 2023-03-06T00:00:00Z http://item.bettergrids.org/handle/1001/687 Title: IEEE 123-Bus System Simulink Abstract: The IEEE 123-bus system is a large and complex distribution system that is representative of real-world systems.It is a large system consisting of overhead and underground single phase, two phase and three phase laterals along with step voltage regulators and shunt capacitors. The 123 bus test feeder is characterized as given in [1] by: Load Types a. All spot loads b. Wye and delta connected c. Mixture of constant power, constant impedance and constant current. Line Types a. Three-phase overhead (all combinations of a, b, c) b. Two-phase overhead (Combinations of a, b, c) c. Single-phase overhead (a-n, b-n, and c-n) d. Three-phase underground Voltage Regulators a. Three-phase, gang operated b. Three single-phase, wye connected c. Two single-phase, open wye connected d. Single-phase, line-to-neutral connected Shunt Capacitors a. Three-phase b. Single-phase 2023-01-13T00:00:00Z