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