A Real-World Test Distribution System with Appliance-Level Load Data for Demand Response and Transactive Energy Studies

[1] F. B. dos Reis, R. Tonkoski, B. Bhattarai, and T. M. Hansen, “A Real-World Test Distribution System with Appliance-Level Load Data for Demand Response and Transactive Energy Studies,” IEEE Access, 2021. Please read the README.pdf file. Paper abstract: Research on demand response and transactive energy systems often require granular, appliance-level demand data. However, there is no existing test system with such appliance-level data with proper temporospatial diversity in a realistic distribution system. This paper develops a 240-node real distribution test system with appliance-level demand data for responsive loads. The residential appliance-level demand data are derived from smart meters connected to 1,120 homes in a real distribution system from Iowa State, hereafter called Midwest 240-Node test distribution system. A queueing load model was used to derive the appliance-level data from the smart meter data. The Midwest 240-Node test distribution system provides granular appliance-level information for all homes in the distribution system (i.e., individual appliances that constitute the home load), and the aggregate of all customer load emulates the actual smart meter data. The performance of the Midwest 240-Node test distribution system is evaluated by comparing the aggregated appliance-level demand with the actual measured smart meter data from the utility. The one-year appliance data has a mean absolute percentage error of 2.58 % compared to the measured smart meter data. The test system is modeled in OpenDSS and GridLAB-D and is openly available to researchers to enable demand response and transactive energy studies with active end-users.

[1] F. B. 多斯·赖斯、R. 汤科斯基、B. 巴塔拉伊与T. M. 汉森，《面向需求响应与交易性能源研究的搭载电器级负荷数据的真实配电测试系统》，发表于《IEEE Access》，2021年。请参阅README.pdf文件。
论文摘要：当前针对需求响应与交易性能源系统的研究，通常需要细粒度的电器级负荷数据。然而，现有配电测试系统均无法提供兼具真实时空多样性的该类电器级负荷数据。本文构建了一套包含响应性负荷电器级负荷数据的240节点真实配电测试系统。该系统的居民电器级负荷数据源自爱荷华州立大学真实配电系统中1120户家庭的智能电表数据，本测试系统后文简称“中西部240节点配电测试系统”。研究人员采用排队负荷模型，从智能电表数据中推导得到电器级负荷数据。中西部240节点配电测试系统可为配电系统内所有家庭提供细粒度的电器级负荷信息——即构成家庭总负荷的各类独立电器，且所有用户负荷的聚合结果可复现真实智能电表数据。
研究人员通过将聚合后的电器级负荷数据与电力公司实测的智能电表数据进行对比，对该测试系统的性能展开了评估。相较于实测智能电表数据，该系统一年期的电器负荷数据的平均绝对百分比误差仅为2.58%。该测试系统已在OpenDSS与GridLAB-D中完成建模，并向研究者公开可用，以支持面向活跃终端用户的需求响应与交易性能源相关研究。

搜集汇总

背景与挑战

背景概述

该数据集是一个240节点的真实配电测试系统，包含来自1120户家庭的家电级别负荷数据，适用于需求响应和交互能源研究。数据通过智能电表采集并经过排队负荷模型处理，具有高度的时空多样性，且与实际测量数据相比平均绝对百分比误差为2.58%。