Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/80984
Title: Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
Authors: Miguel, Pedro 
Neves, Luís 
Martins, A. Gomes 
Keywords: Simulation Demand response Energy Box Household sector Smart Grid Distribution system operator
Issue Date: 2014
Publisher: Elsevier
Project: CENTRO-07-0224-FEDER-002004 
MIT/SET/0018/2009 
PEst-C/EEI/UI0308/2011 
Serial title, monograph or event: Electric Power Systems Research
Volume: 116
Abstract: The purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed.
URI: https://hdl.handle.net/10316/80984
ISSN: 0378-7796
DOI: 10.1016/j.epsr.2014.07.012
Rights: embargoedAccess
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
EPSR_1-s2.0-S0378779614002661-main.pdf1.42 MBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

8
checked on Nov 11, 2022

WEB OF SCIENCETM
Citations 10

8
checked on May 2, 2023

Page view(s)

150
checked on Apr 23, 2024

Download(s)

213
checked on Apr 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons