Multi-scale electrical load modelling for demand-side management

Adam J. Collin; George Tsagarakis; Aristides E. Kiprakis; Stephen McLaughlin

doi:10.1109/ISGTEurope.2012.6465866

Multi-scale electrical load modelling for demand-side management

Adam J. Collin^*
, George Tsagarakis
, Aristides E. Kiprakis
, Stephen McLaughlin

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

This paper presents a Markov chain approach for developing low-voltage (LV) residential load models for use in the analysis of future smart grids. The motivation is to obtain a better understanding of load use and user behaviour at the LV level which will allow future electricity network performance to be improved by understanding the impact of energy demand transformations through the application of demand-side management (DSM) strategies at the LV side. The developed load models highlight the variations between individual and aggregate load model representation and show that the composition of LV residential users should be carefully considered when analysing LV networks.

Original language	English
Title of host publication	2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)
Publisher	IEEE
ISBN (Electronic)	9781467325974
ISBN (Print)	9781467325950
DOIs	https://doi.org/10.1109/ISGTEurope.2012.6465866
Publication status	Published - 21 Feb 2013
Event	3rd IEEE PES Innovative Smart Grid Technologies Europe 2012 - Berlin, Germany Duration: 14 Oct 2012 → 17 Oct 2012

Conference

Conference	3rd IEEE PES Innovative Smart Grid Technologies Europe 2012
Abbreviated title	ISGT Europe 2012
Country/Territory	Germany
City	Berlin
Period	14/10/12 → 17/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

demand-side management
load modelling
markov processes
power demand
smart grids

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ISGTEurope.2012.6465866

Cite this

@inproceedings{a889d60fa3ee4a46bc525746254b97a1,

title = "Multi-scale electrical load modelling for demand-side management",

abstract = "This paper presents a Markov chain approach for developing low-voltage (LV) residential load models for use in the analysis of future smart grids. The motivation is to obtain a better understanding of load use and user behaviour at the LV level which will allow future electricity network performance to be improved by understanding the impact of energy demand transformations through the application of demand-side management (DSM) strategies at the LV side. The developed load models highlight the variations between individual and aggregate load model representation and show that the composition of LV residential users should be carefully considered when analysing LV networks.",

keywords = "demand-side management, load modelling, markov processes, power demand, smart grids",

author = "Collin, \{Adam J.\} and George Tsagarakis and Kiprakis, \{Aristides E.\} and Stephen McLaughlin",

year = "2013",

month = feb,

day = "21",

doi = "10.1109/ISGTEurope.2012.6465866",

language = "English",

isbn = "9781467325950",

booktitle = "2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)",

publisher = "IEEE",

address = "United States",

note = "3rd IEEE PES Innovative Smart Grid Technologies Europe 2012, ISGT Europe 2012 ; Conference date: 14-10-2012 Through 17-10-2012",

}

TY - GEN

T1 - Multi-scale electrical load modelling for demand-side management

AU - Collin, Adam J.

AU - Tsagarakis, George

AU - Kiprakis, Aristides E.

AU - McLaughlin, Stephen

PY - 2013/2/21

Y1 - 2013/2/21

N2 - This paper presents a Markov chain approach for developing low-voltage (LV) residential load models for use in the analysis of future smart grids. The motivation is to obtain a better understanding of load use and user behaviour at the LV level which will allow future electricity network performance to be improved by understanding the impact of energy demand transformations through the application of demand-side management (DSM) strategies at the LV side. The developed load models highlight the variations between individual and aggregate load model representation and show that the composition of LV residential users should be carefully considered when analysing LV networks.

AB - This paper presents a Markov chain approach for developing low-voltage (LV) residential load models for use in the analysis of future smart grids. The motivation is to obtain a better understanding of load use and user behaviour at the LV level which will allow future electricity network performance to be improved by understanding the impact of energy demand transformations through the application of demand-side management (DSM) strategies at the LV side. The developed load models highlight the variations between individual and aggregate load model representation and show that the composition of LV residential users should be carefully considered when analysing LV networks.

KW - demand-side management

KW - load modelling

KW - markov processes

KW - power demand

KW - smart grids

UR - https://www.scopus.com/pages/publications/84874717816

U2 - 10.1109/ISGTEurope.2012.6465866

DO - 10.1109/ISGTEurope.2012.6465866

M3 - Conference contribution

AN - SCOPUS:84874717816

SN - 9781467325950

BT - 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

PB - IEEE

T2 - 3rd IEEE PES Innovative Smart Grid Technologies Europe 2012

Y2 - 14 October 2012 through 17 October 2012

ER -

Multi-scale electrical load modelling for demand-side management

Abstract

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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