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

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 distri...

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Autores principales: Fernando Bereta Dos Reis, Reinaldo Tonkoski, Bishnu P. Bhattarai, Timothy M. Hansen
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/473fdc574c6e403eb621f9afb4a6aedc
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spelling oai:doaj.org-article:473fdc574c6e403eb621f9afb4a6aedc2021-11-18T00:03:27ZA Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies2169-353610.1109/ACCESS.2021.3120923https://doaj.org/article/473fdc574c6e403eb621f9afb4a6aedc2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9604915/https://doaj.org/toc/2169-3536Research 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.Fernando Bereta Dos ReisReinaldo TonkoskiBishnu P. BhattaraiTimothy M. HansenIEEEarticleDemand responsedistributed energy managementhome energy managementqueueing load modelsynthetic distribution test systemtransactive energyElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149506-149519 (2021)
institution DOAJ
collection DOAJ
language EN
topic Demand response
distributed energy management
home energy management
queueing load model
synthetic distribution test system
transactive energy
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Demand response
distributed energy management
home energy management
queueing load model
synthetic distribution test system
transactive energy
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Fernando Bereta Dos Reis
Reinaldo Tonkoski
Bishnu P. Bhattarai
Timothy M. Hansen
A Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies
description 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.
format article
author Fernando Bereta Dos Reis
Reinaldo Tonkoski
Bishnu P. Bhattarai
Timothy M. Hansen
author_facet Fernando Bereta Dos Reis
Reinaldo Tonkoski
Bishnu P. Bhattarai
Timothy M. Hansen
author_sort Fernando Bereta Dos Reis
title A Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies
title_short A Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies
title_full A Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies
title_fullStr A Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies
title_full_unstemmed A Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies
title_sort real-world test distribution system with appliance-level load data for demand response and transactive energy studies
publisher IEEE
publishDate 2021
url https://doaj.org/article/473fdc574c6e403eb621f9afb4a6aedc
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