Economic Power Dispatch of Distributed Generators in a Grid-Connected Microgrid

Adriana Carolina Luna Hernández, Nelson Leonardo Diaz Aldana, Fabio Andrade, Moises Graells, Josep M. Guerrero, Juan Carlos Vasquez

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

25 Citations (Scopus)
637 Downloads (Pure)

Abstract

Grid-connected microgrids with storage systems are reliable configurations for critical loads which can not tolerate interruptions of energy supply. In such cases, some of the energy resources should be scheduled in order to coordinate optimally the power generation according to a defined objective function. This paper defines a generationside power scheduling and economic dispatch of a gridconnected microgrid that supplies a fixed load and then, the scheduling is enhanced by including penalties in order to increase the use of the renewable energy sources and guarantee a high state of charge in the storage system for the next day. Linear models are proposed for the scheduling which are implemented in GAMS. The microgrid model is obtained deploying MATLAB/Simulink toolbox and then downloaded into dSPACE 1006 platform based on real-time simulation to test the economic dispatch. A compromise between cost and use of renewable energy is achieved.
Original languageEnglish
Title of host publicationProceedings of the 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia)
Number of pages8
PublisherIEEE Press
Publication date2015
Pages1161 - 1168
ISBN (Print)978-895708254-6
DOIs
Publication statusPublished - 2015
Event9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia 2015) - Seoul, Korea, Republic of
Duration: 1 Jun 20155 Jun 2015

Conference

Conference9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia 2015)
Country/TerritoryKorea, Republic of
CitySeoul
Period01/06/201505/06/2015

Keywords

  • Economic dispatch
  • Energy management system
  • Microgrids
  • Generation-side scheduling

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