Energy management in a standalone DC prosumer-only microgrid

Uyikumhe Damisa, Nnamdi I. Nwulu, Saheed Lekan Gbadamosi

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

Abstract

The continuous adoption of renewable energy sources has led to the influx of prosumers who intermittently feed electricity back to the grid. This contributes additional uncertainty to grid planning and management. In this paper an energy management model for a prosumer microgrid is proposed and tested on a six-bus DC microgrid that interconnects prosumers. Particularly, the model determines the optimal schedules for power to be sourced from or sent to willing customers. Gekko-an optimization tool embedded in Python was used to solve the proposed model. Results from analyses suggest that for grids interconnecting prosumers with similar import/export profiles, wide-spread distribution of grid resources like batteries and flexible loads makes for lower voltage drops across the buses of the grid.

Original languageEnglish
Title of host publicationICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728140827
DOIs
Publication statusPublished - Dec 2019
Event6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019 - Kuala Lumpur, Malaysia
Duration: 20 Dec 201921 Dec 2019

Publication series

NameICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences

Conference

Conference6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period20/12/1921/12/19

Keywords

  • DC microgrid
  • Gekko
  • optimization
  • prosumer

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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