DocumentCode :
1758127
Title :
Development of Low-Voltage Load Models for the Residential Load Sector
Author :
Collin, Adam J. ; Tsagarakis, George ; Kiprakis, Aristides E. ; McLaughlin, Steve
Author_Institution :
Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK
Volume :
29
Issue :
5
fYear :
2014
fDate :
Sept. 2014
Firstpage :
2180
Lastpage :
2188
Abstract :
A bottom-up modeling approach is presented that uses a Markov chain Monte Carlo (MCMC) method to develop demand profiles. The demand profiles are combined with the electrical characteristics of the appliance to create detailed time-varying models of residential loads suitable for the analysis of smart grid applications and low-voltage (LV) demand-side management. The results obtained demonstrate significant temporal variations in the electrical characteristics of LV customers that are not captured by existing load profile or load model development approaches. The software developed within this work is made freely available for use by the community.
Keywords :
Markov processes; Monte Carlo methods; demand side management; smart power grids; LV; MCMC method; Markov chain Monte Carlo method; appliance electrical characteristics; bottom-up modeling approach; demand profiles; load model development approaches; low-voltage demand-side management; low-voltage load models; residential load sector; smart grid analysis; time-varying models; Aggregates; Data models; Electrical products; Home appliances; Load modeling; Power demand; Reactive power; Load modelling; Markov processes; low-voltage (LV) network; power demand; residential load sector;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2014.2301949
Filename :
6733330
Link To Document :
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