Effect of Uncertainty on the Operation of DC Prosumer Microgrids Incorporating Dispatchable Loads

Uyikumhe Damisa, Nnamdi I. Nwulu

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

4 Citations (Scopus)

Abstract

It has become worthwhile to study prosumer direct current microgrids, considering the rise of interest in direct current microgrids coupled with the emergence of intermittent prosumers. The uncertainty introduced by prosumers affects planning and operation of prosumer grids, hence its impact is investigated in this paper. Firstly, a robust operational dispatch model which makes use of dispatchable loads to handle prosumer uncertainty is developed. The model considers power flow on lines and respects prosumer privacy. It is solved using the interior point solver in Gekko, an optimization package in Python. Then, analyses of uncertainty effects are performed. Results obtained suggest that both objective function value and power losses increase with an increase in uncertainty of prosumer power import. Hence, more accurate forecasts make for more economic operation of prosumer microgrids.

Original languageEnglish
Title of host publicationProceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-76
Number of pages4
ISBN (Electronic)9781728124407
DOIs
Publication statusPublished - Aug 2019
Event7th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2019 - Oshawa, Canada
Duration: 12 Aug 201914 Aug 2019

Publication series

NameProceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019

Conference

Conference7th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2019
Country/TerritoryCanada
CityOshawa
Period12/08/1914/08/19

Keywords

  • battery
  • microgrid
  • optimization
  • prosumer
  • robust

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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