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SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

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openenergyhub.ornl.gov2024-01-02 更新2025-01-15 收录
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https://openenergyhub.ornl.gov/explore/dataset/smart-ds-synthetic-electrical-network-data-opendss-models-for-sfo-gso-and-aus/
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The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the datasets.This dataset contains synthetic detailed electrical distribution network models, and connected timeseries loads for the greater San Francisco (SFO), Greensboro, and Austin areas. It is intended to provide researchers with very realistic and complete models that can be used for extensive powerflow simulations under a variety of scenarios. The data is synthetic, but has been validated against thousands of utility feeders to ensure statistical and operational similarity to electrical distribution networks in the US. The OpenDSS data is partitioned into several regions (each zipped separately). After unzipping these files, each region has a folder for each substation, and subsequent folders for each feeder within the substation. This allows users to simulate smaller sections of the full dataset. Each of these folders (region, substation and feeder) has a folder titled "analysis" which contains CSV files listing voltages and overloads throughout the network for the peak loading time in the year. It also contains .png files showing the loading of residential and commercial loads on the network for every day of the year, and daily breakdowns of loads for commercial building categories. Time series data is provided in the "profiles" folder including real and reactive power at 15 minute resolution along with parquet files in the "endues" folder with breakdowns of building end-uses.

SMART-DS数据集(高级、真实测试的合成模型:配电网和场景)是针对美国大规模电力配电网的真实模型,用于测试高级电网算法和技术分析。本文件提供了数据集的用户指南。该数据集包含合成详细的电力配电网模型以及连接至旧金山(SFO)、格林斯伯勒和奥斯汀地区的大规模时序负荷。其旨在为研究人员提供极其真实且完整的模型,可用于在各种场景下进行广泛的电力流仿真。数据虽然是合成的,但已与数千个公用事业馈线进行验证,以确保与美国电力配电网在统计和运行上的相似性。OpenDSS数据被划分为若干区域(每个区域分别打包)。解压这些文件后,每个区域都有一个文件夹,用于每个变电站,以及变电站内每个馈线的子文件夹。这使用户能够模拟整个数据集的较小部分。每个这些文件夹(区域、变电站和馈线)都有一个名为“analysis”的文件夹,其中包含列出整个网络在年度峰值负荷时间电压和过载的CSV文件。此外,还包含显示网络在年度每一天居民和商业负荷的.png文件,以及商业建筑类别的负荷每日分解。时间序列数据在“profiles”文件夹中提供,包括15分钟分辨率的实际功率和无功功率,以及“endues”文件夹中的建筑终端用途分解的parquet文件。
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