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Real-Time Demand Response Program Implementation Using Curtailment Service Provider

Main Authors: Omid Abrishambaf, Pedro Faria, Zita Vale
Format: Proceeding eJournal
Bahasa: eng
Terbitan: , 2018
Subjects:
real-time simulation
hardware-in-the-loop
demand response
aggregator
curtailment service provider
Online Access: https://zenodo.org/record/2677524
ctrlnum 2677524
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Omid Abrishambaf</creator><creator>Pedro Faria</creator><creator>Zita Vale</creator><date>2018-01-31</date><description>Nowadays, electricity network operators obligated to utilize the new concepts of power system, such as demand response program, due to peak shaving or reducing the power congestion in the peak periods. These types of management programs have a minimum capacity level for the consumers who tend to participate. This makes small and medium scale consumer incapable to participate in these programs. Therefore, a third party entity, such as a Curtailment Service Provider, can be a solution for this barrier since it is a bridge between the demand side and grid side. This paper provides a real-time simulation of a curtailment service provider that utilize realtime demand response programs for small and medium consumers and prosumers. The case study of the paper represents a network with 220 consumers and 68 distributed generations, which aims at the behavior of two small and medium scale prosumers during a real-time demand response program.</description><description>This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAMGO) and from FEDER Funds through COMPETE program and from National Funds through FCT, under the project UID/EEA/00760/2013.</description><identifier>https://zenodo.org/record/2677524</identifier><identifier>10.5281/zenodo.2677524</identifier><identifier>oai:zenodo.org:2677524</identifier><language>eng</language><relation>info:eu-repo/grantAgreement/FCT/5876/147448/</relation><relation>info:eu-repo/grantAgreement/EC/H2020/641794/</relation><relation>doi:10.5281/zenodo.2677523</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</rights><subject>real-time simulation</subject><subject>hardware-in-the-loop</subject><subject>demand response</subject><subject>aggregator</subject><subject>curtailment service provider.</subject><title>Real-Time Demand Response Program Implementation Using Curtailment Service Provider</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>2677524</recordID></dc>
language eng
format Journal:Proceeding
Journal
Journal:eJournal
author Omid Abrishambaf
Pedro Faria
Zita Vale
title Real-Time Demand Response Program Implementation Using Curtailment Service Provider
publishDate 2018
topic real-time simulation
hardware-in-the-loop
demand response
aggregator
curtailment service provider
url https://zenodo.org/record/2677524
contents Nowadays, electricity network operators obligated to utilize the new concepts of power system, such as demand response program, due to peak shaving or reducing the power congestion in the peak periods. These types of management programs have a minimum capacity level for the consumers who tend to participate. This makes small and medium scale consumer incapable to participate in these programs. Therefore, a third party entity, such as a Curtailment Service Provider, can be a solution for this barrier since it is a bridge between the demand side and grid side. This paper provides a real-time simulation of a curtailment service provider that utilize realtime demand response programs for small and medium consumers and prosumers. The case study of the paper represents a network with 220 consumers and 68 distributed generations, which aims at the behavior of two small and medium scale prosumers during a real-time demand response program.
This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAMGO) and from FEDER Funds through COMPETE program and from National Funds through FCT, under the project UID/EEA/00760/2013.
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