Optimal Power Scheduling for an Islanded Hybrid Microgrid

Adriana Carolina Luna Hernández, Nelson Leonardo Diaz Aldana, Mehdi Savaghebi, Juan Carlos Vasquez Quintero, Josep M. Guerrero

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)
483 Downloads (Pure)

Abstract

A microgrid is a system that integrates energy generation, energy storage, and loads and it is able to operate either in interconnected or islanded mode. Energy resources
should be scheduled to supply the load properly in order to coordinate optimally the power exchange within the microgrid according to a defined objective function. In this paper, an optimal power scheduling for generation and demand side is presented to manage an islanded hybrid PV-wind-battery microgrid implemented in Shanghai-China. The optimization is addressed through a Mixed-Integer Linear Programming (MILP) mathematical model, wherein the disconnection of the load and not charging the battery when there is surplus of energy are penalized while physical constraints and requirements for a feasible deployment in the real system are considered. The proposed scheduling scheme is tested using a real-time control platform (dSPACE1006) in which a scaled down model of this microgrid is emulated.
Original languageEnglish
Title of host publicationProceedings of 2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia)
Number of pages7
PublisherIEEE
Publication dateMay 2016
Pages1787 - 1792
ISBN (Print)978-1-5090-1210-7
DOIs
Publication statusPublished - May 2016
Event2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia) - Hefei, China
Duration: 22 May 201625 May 2016

Conference

Conference2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia)
Country/TerritoryChina
CityHefei
Period22/05/201625/05/2016

Keywords

  • Power scheduling
  • Islanded Microgrid
  • Integer programming
  • Energy management

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