Optimal design of PV and hybrid storage based microgrids for healthcare and government facilities connected to highly intermittent utility grids. (1st April 2023)

• Record Type: Journal Article
• Authors: León, L.M.; Romero-Quete, D.; Merchán, N.; Cortés, C.A.
• Is Part Of: Applied energy. Volume 335(2023)
• Publication Date: 2023-04-01
• Subjects: 62P30; Critical loads -- Generation unavailability -- Mixed Integer Linear Programming -- Non-interconnected areas -- Optimal sizing -- Small-scale microgrid; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2023.120709
• Languages: English
• ISSNs: 0306-2619

Abstract

Abstract: This paper proposes an improved methodology for the optimal sizing of small-scale microgrids conformed by photovoltaic (PV) generation systems and hybrid energy storage systems (batteries + supercapacitors). The methodology is based on a Mixed-Integer Linear Programming (MILP) formulation and includes a new way to take advantage of the aging model of the batteries to determine when these storage assets should be replaced. Moreover, the proposed sizing tool offers the possibility of including supercapacitors (SCs) in a microgrid's design to reduce battery degradation. The tool was put to test by sizing the microgrids for a hospital and a government building in Puerto Carreño, a non-interconnected area in Colombia. A comparison between the proposed methodology and another without considering battery degradation, along with a sensitivity analysis of the storage-acquisition cost parameter in this tool, revealed its usefulness for this kind of microgrid design. Highlights: Battery aging model used to estimate replacement costs across microgrid's lifetime. Cost of energy not supplied and energy exportation benefits weighted in optimization. Supercapacitors included to account with battery lifetime improvement.