Micro grid scheduling policies, forecasting errors, and cooperation based on production correlation

Georgios Tsaousoglou, Prodromos Makris, Emmanouel Varvarigos

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

4 Citations (Scopus)


We present scheduling policies that can be used by Micro Grids (MGs) with the possibility of energy production, consumption and storage, in the context of a novel Smart Grid architecture. Assuming a Day-Ahead market, we investigate the management of resources so as to achieve higher profit for the MGs under various operating scenarios. The possibility of cooperation among MGs in the presence of forecast errors is also studied, demonstrating that it can lead to more intelligent and profitable operation of the MG resources. The profits of cooperation among MGs whose production patterns have positive, zero, or negative correlation are assessed.

Original languageEnglish
Title of host publication2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG 2016)
EditorsDusan Maga, Michalea Lachmanova
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781467384735, 9781467384742
ISBN (Print)9781467382564
Publication statusPublished - 9 Aug 2016
Externally publishedYes
EventInternational Conference on Intelligent Green Building and Smart Grid (IGBSG) 2016 - Czech Technical University in Prague, Prague, Czech Republic
Duration: 27 Jun 201629 Jun 2016
Conference number: 2nd


ConferenceInternational Conference on Intelligent Green Building and Smart Grid (IGBSG) 2016
Abbreviated title IGBSG 2016
CountryCzech Republic
Internet address


  • forecast deviation
  • Micro Grid cooperation
  • Micro Grids
  • resources virtual integration
  • scheduling policy

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