Building Highly Detailed Synthetic Electric Grid Data Sets for Combined Transmission and Distribution Systems
Building Highly Detailed Synthetic Electric Grid Data Sets for Combined Transmission and Distribution Systems
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DOI：
10.1109/oajpe.2020.3029278
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发表时间：
2020-01-01
影响因子：
3.8
通讯作者：
Palmintier, Bryan
中科院分区：
文献类型：
--
作者：
Li, Hanyue;Wert, Jessica L.;Palmintier, Bryan
本文介绍了一种构建合成电网数据集的方法，该数据集代表虚拟但现实的输配电联合 (T&D) 系统。此类数据集具有重要的应用，例如在分布式能源的广域相互作用的研究、先进控制方案的验证以及网络对严重事件的恢复能力方面。此处创建的数据集在地理位置上位于实际的北美足迹上，最终用户负载信息是根据地块数据估计的。为服务这些虚构但现实的负载而创建的电网是从详细的低压和中压配电系统开始构建的，连接到配电和输电变电站。增加了大容量发电，并创建了高压输电网。本文解释了制作组合案例的总体流程和所面临的挑战。示例测试用例 syn-austin-TDgrid-v03 显示了位于德克萨斯州中部的 307 236 个客户案例，其中有 140 个变电站、448 个馈线和电压范围为 120 V 到 230 kV 的电线数据。这种新的组合测试用例有助于提高大规模系统研究的质量，特别是因为许多实际电力系统数据都受到数据机密性的影响。高度详细的组合 T&D 数据集还可以促进耦合基础设施的建模和分析。
This paper introduces a methodology for building synthetic electric grid data sets that represent fictitious, yet realistic, combined transmission and distribution (T&D) systems. Such data sets have important applications, such as in the study of the wide-area interactions of distributed energy resources, in the validation of advanced control schemes, and in network resilience to severe events. The data sets created here are geographically located on an actual North American footprint, with the end-user load information estimated from land parcel data. The grid created to serve these fictional but realistic loads is built starting with low-voltage and medium-voltage distribution systems in full detail, connected to distribution and transmission substations. Bulk generation is added, and a high-voltage transmission grid is created. This paper explains the overall process and challenges addressed in making the combined case. An example test case, syn-austin-TDgrid-v03, is shown for a 307 236-customer case located in central Texas, with 140 substations, 448 feeders, and electric line data at voltages ranging from 120 V to 230 kV. Such new combined test cases help to promote high quality in the research on large-scale systems, particularly since much actual power system data are subject to data confidentiality. The highly detailed, combined T&D data set can also facilitate the modeling and analysis of coupled infrastructures.