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.

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%。