Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration

Energies

Quoc T. Tran¹  Dominique Grondin²  Michel Benne²  Christophe Le Loup³  Maël Riou³  Florian Dupriez-Robin⁴ 

[1] CEA Tech, 44340 Nantes, France;ENERGY Lab—LE2P (FRH2 CNRS), 97744 Saint-Denis, France;Entech Smart Energies, 29000 Quimper, France;France Energies Marines, 29280 Plouzané, France;

关键词: microgrid;    off-grid;    reliability;    sizing;    genetic algorithm;   

DOI  :  10.3390/en14154466

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown