Generation of flexible domestic load profiles to evaluate demand side management approaches

Gerwin Hoogsteen, Albert Molderink, Johann L. Hurink, Gerardus Johannes Maria Smit

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

54 Citations (Scopus)
1453 Downloads (Pure)

Abstract

Various Demand Side Management (DSM) approaches have been developed the last couple of years to avoid costly grid upgrades. However, evaluation of these DSM methodologies is usually restricted to a use-case specific example, making comparison between different DSM approaches hard. This paper presents a novel, open source, load profile generator to evaluate and compare DSM approaches. In addition to static load profiles for both active and reactive power, it also provides flexibility information for various classes of controllable domestic devices. Load profiles and flexibility information are generated using a simple behavioural simulation. The output data uses 1 minute intervals and incorporates device measurements. The generated profiles are in sound with the measurement data obtained in a field test on both the household level and aggregated neighbourhood level. The same dynamics, such as unbalanced loading and rapid power consumption fluctuations, are observed in the generated model.
Original languageUndefined
Title of host publication2016 IEEE International Energy Conference (ENERGYCON)
Place of PublicationUSA
PublisherIEEE
Pages1279
Number of pages6
ISBN (Print)978-1-4673-8463-6
DOIs
Publication statusPublished - 7 Apr 2016
Event2016 IEEE International Energy Conference, ENERGYCON 2016 - Leuven, Belgium
Duration: 4 Apr 20168 Apr 2016
http://www.ieee-energycon2016.org/

Publication series

Name
PublisherIEEE Power & Energy Society

Conference

Conference2016 IEEE International Energy Conference, ENERGYCON 2016
Abbreviated titleENERGYCON
Country/TerritoryBelgium
CityLeuven
Period4/04/168/04/16
Internet address

Keywords

  • load management
  • EWI-27137
  • IR-100962
  • METIS-318487
  • Load modeling
  • Simulation
  • Demand Side Management

Cite this