Optimization of Isolated Hybrid Microgrids with Renewable Energy Based on Different Battery Models and Technologies
Yimy E. García-Vera,
Rodolfo Dufo-López and
José L. Bernal-Agustín
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Yimy E. García-Vera: Electronic Engineering Department, San Buenaventura University, Carrera 8H # 172-20 Bogota, Colombia
Rodolfo Dufo-López: Electrical Engineering Department, University of Zaragoza, Calle María de Luna 3, 50018 Zaragoza, Spain
José L. Bernal-Agustín: Electrical Engineering Department, University of Zaragoza, Calle María de Luna 3, 50018 Zaragoza, Spain
Energies, 2020, vol. 13, issue 3, 1-17
Abstract:
Energy supply in remote areas (mainly in developing countries such as Colombia) has become a challenge. Hybrid microgrids are local and reliable sources of energy for these areas where access to the power grid is generally limited or unavailable. These systems generally include a diesel generator, solar modules, wind turbines, and storage devices such as batteries. Battery life estimation is an essential factor in the optimization of a hybrid microgrid since it determines the system’s final costs, including future battery replacements. This article presents a comparison of different technologies and battery models in a hybrid microgrid. The optimization is achieved using the iHOGA software, based on data from a real microgrid in Colombia. The simulation results allowed the comparison of prediction models for lifespan calculation for both lead–acid and lithium batteries in a hybrid microgrid, showing that the most accurate models are more realistic in predicting battery life by closely estimating real lifespans that are shorter, unlike other simplified methods that obtain much longer and unrealistic lifetimes.
Keywords: lead–acid batteries; lithium batteries; aging models; optimization; hybrid microgrids (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
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:3:p:581-:d:313322
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