Real-time matching of local generation and demand: The use of high resolution load modeling

Merkebu Z. Degefa, Matti Lehtonen, Malcolm McCulloch, Ken Nixon

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


In most studies, the lowest temporal resolution data used in addressing the problem of matching local generation and demand is hourly. There are very few attempts that use minute level temporal resolution capturing the highly stochastic nature. This study utilizes high-resolution household load modelling platform called Suricatta to assess the potential for matching in real-time. In this study, 1-minute and 1-hour resolutions data is used to evaluate load matching index of PVs and wind turbines along with storage battery and demand response solutions. The results demonstrate the relatively high relevance of 1-minute data resolution in case of demand response planning and also for wind turbine generations. Besides, the diurnal nature of weather variables together with their negative correlation to the typical Finnish household seasonal consumption emphasizes the need for storage systems and/or demand response plans to enhance matching of distribution system level wind turbine and PV generations.

Original languageEnglish
Title of host publicationISGT Europe 2016 - IEEE PES Innovative Smart Grid Technologies, Europe
ISBN (Electronic)9781509033584
Publication statusPublished - 14 Feb 2017
MoE publication typeA4 Article in a conference publication
EventIEEE PES Europe Conference on Innovative Smart Grid Technologies - Ljubljana, Slovenia
Duration: 9 Oct 201612 Oct 2016

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
ISSN (Print)2165-4816
ISSN (Electronic)2165-4824


ConferenceIEEE PES Europe Conference on Innovative Smart Grid Technologies
Abbreviated titleISGT Europe


  • battery storage
  • demand response
  • distributed generation
  • load modelling
  • load-matching index
  • PV
  • wind turbine


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