Battery Energy Storage Systems in Microgrids: Modeling and Design Criteria

Matteo Moncecchi, Claudio Brivio, Stefano Mandelli and Marco Merlo
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Matteo Moncecchi: Department of Energy, Politecnico di Milano, Via Lambruschini, 4, 20156 Milano, Italy
Claudio Brivio: CSEM SA - Swiss Center for Electronics and Microtechnology, 2002 Neuchâtel, Switzerland
Stefano Mandelli: CESI S.p.A., Via Raffaele Rubattino, 54, 20134 Milano Italy
Marco Merlo: Politecnico di Milano, Department of Energy, Via Lambruschini, 4, 20156 Milano, Italy

Energies, 2020, vol. 13, issue 8, 1-18

Abstract: Off-grid power systems based on photovoltaic and battery energy storage systems are becoming a solution of great interest for rural electrification. The storage system is one of the most crucial components since inappropriate design can affect reliability and final costs. Therefore, it is necessary to adopt reliable models able to realistically reproduce the working condition of the application. In this paper, different models of lithium-ion battery are considered in the design process of a microgrid. Two modeling approaches (analytical and electrical) are developed based on experimental measurements. The derived models have been integrated in a methodology for the robust design of off-grid electric power systems which has been implemented in a MATLAB-based computational tool named Poli.NRG (POLItecnico di Milano—Network Robust desiGn). The procedure has been applied to a real-life case study to compare the different battery energy storage system models and to show how they impact on the microgrid design.

Keywords: energy storage; battery models; microgrids; rural electrification; developing countries; optimization (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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