Development of Low-Voltage Load Models for the Residential Load Sector
Open Access
- 6 February 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 29 (5) , 2180-2188
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
Funding Information
- Research Councils UK Energy programme (EP/I000496/1)
This publication has 20 references indexed in Scilit:
- International Industry Practice on Power System Load ModelingIEEE Transactions on Power Systems, 2013
- Multi-scale electrical load modelling for demand-side management2012
- Modelling the electrical loads of UK residential energy users2012
- Development of physical-based demand response-enabled residential load modelsIEEE Transactions on Power Systems, 2012
- An 11 kV steady state residential aggregate load model. Part 1: Aggregation methodology2011
- A time series probabilistic synthetic load curve model for residential customers2011
- Harmonic cancellation of modern switch-mode power supply load2010
- A high-resolution stochastic model of domestic activity patterns and electricity demandApplied Energy, 2010
- Component-based aggregate load models for combined power flow and harmonic analysis2010
- Laboratory measurements and models of modern loads and their effect on voltage stability studiesIEEE Transactions on Power Systems, 1998