Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration

Maël Riou, Florian Dupriez-Robin, Dominique Grondin, Christophe Le Loup, Michel Benne and Quoc T. Tran
Additional contact information
Maël Riou: Entech Smart Energies, 29000 Quimper, France
Florian Dupriez-Robin: France Energies Marines, 29280 Plouzané, France
Dominique Grondin: ENERGY Lab—LE2P (FRH2 CNRS), 97744 Saint-Denis, France
Christophe Le Loup: Entech Smart Energies, 29000 Quimper, France
Michel Benne: ENERGY Lab—LE2P (FRH2 CNRS), 97744 Saint-Denis, France
Quoc T. Tran: CEA Tech, 44340 Nantes, France

Energies, 2021, vol. 14, issue 15, 1-20

Abstract: Microgrids operating on renewable energy resources have potential for powering rural areas located far from existing grid infrastructures. These small power systems typically host a hybrid energy system of diverse architecture and size. An effective integration of renewable energies resources requires careful design. Sizing methodologies often lack the consideration for reliability and this aspect is limited to power adequacy. There exists an inherent trade-off between renewable integration, cost, and reliability. To bridge this gap, a sizing methodology has been developed to perform multi-objective optimization, considering the three design objectives mentioned above. This method is based on the non-dominated sorting genetic algorithm (NSGA-II) that returns the set of optimal solutions under all objectives. This method aims to identify the trade-offs between renewable integration, reliability, and cost allowing to choose the adequate architecture and sizing accordingly. As a case study, we consider an autonomous microgrid, currently being installed in a rural area in Mali. The results show that increasing system reliability can be done at the least cost if carried out in the initial design stage.

Keywords: microgrid; off-grid; reliability; sizing; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/15/4466/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/15/4466/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:15:p:4466-:d:600352

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().