Modelling of domestic load demand in the presence of microgrid with wind and photovoltaic resources

Yan Ge, Kejun Qian, Jiachang Dai, Chengke Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Accurate domestic (residential) load modelling is essential for load forecasting, simulation, planning and control of power distribution networks. This paper presents a novel method of modelling hourly domestic household's load demand taking account of the impact of microgrid. Wind and solar power generation are modeled in details and included in the load demand model. Meanwhile, multiple Gaussian distributions are used to reduce and simplify the data requirements for modelling. By discovering the relationship between domestic load profile characteristics and Gaussian distribution parameter, the model only requires very limited number of parameters to generate a household's hourly electricity load profile. The simplicity of this method made it possible to generate the hourly load profile without the detailed statistical data from the household required by other published methods. The models are therefore especially useful for the areas that smart meters are not yet deployed. Simulation results of an example domestic household show that the proposed method achieves a satisfying load modeling results.

Original languageEnglish
Title of host publicationProceeding: 2015 International Conference on Smart Grid and Clean Energy Technologies: ICSGCE 2015
PublisherIEEE
Pages180-186
Number of pages7
ISBN (Electronic)9781467387347
ISBN (Print)9781467387323
DOIs
Publication statusPublished - 19 Apr 2016
Event2015 International Conference on Smart Grid and Clean Energy Technologies - Offenburg, Germany
Duration: 20 Oct 201523 Oct 2015

Conference

Conference2015 International Conference on Smart Grid and Clean Energy Technologies
Abbreviated title ICSGCE 2015
Country/TerritoryGermany
CityOffenburg
Period20/10/1523/10/15

Keywords

  • distribution systems
  • Gaussian distribution
  • household load demand
  • load forecast
  • microgrid
  • power systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

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