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|Title:||Battery lifetime extension in a stand-alone microgrid with flexible power point tracking of photovoltaic system||Authors:||Yan, Hein Wai
Farivar, Glen G.
Tafti, Hossein Dehghani
|Keywords:||Engineering::Electrical and electronic engineering::Power electronics
Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
|Issue Date:||2022||Source:||Yan, H. W., Farivar, G. G., Beniwal, N., Tafti, H. D., Ceballos, S., Pou, J. & Konstantinou, G. (2022). Battery lifetime extension in a stand-alone microgrid with flexible power point tracking of photovoltaic system. IEEE Journal of Emerging and Selected Topics in Power Electronics. https://dx.doi.org/10.1109/JESTPE.2022.3212702||Project:||N62909-19-1-2081||Journal:||IEEE Journal of Emerging and Selected Topics in Power Electronics||Abstract:||In stand-alone dc microgrids, battery energy storage systems (BESSs) are conventionally used for regulating the dc-link voltage, causing a continuous battery operation. Though operating the photovoltaic (PV) system at its maximum power point yields minimum battery discharge current, the opposite is true for battery charging current. Therefore, reducing the battery charging current based on its state-of-charge (SoC) and the amount of available PV surplus power (which can be treated as virtually stored energy) is an opportunity for improving the battery life. The main objective of the control strategy proposed in this paper is to prolong the battery lifetime by reducing the charging current and keeping the battery SoC at lower values if the PV power is enough to supply the loads. Additionally, the PV system is used as the primary asset to regulate the microgrid voltage. The dynamic performance of the proposed control strategy is validated with experimental tests under various operating conditions. Furthermore, its effectiveness in prolonging the battery lifetime is evaluated using an aging model of a Li-ion battery (without loss of generality) by simulated case studies.||URI:||https://hdl.handle.net/10356/162534||ISSN:||2168-6777||DOI:||10.1109/JESTPE.2022.3212702||Rights:||© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/JESTPE.2022.3212702.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Journal Articles|
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Updated on Nov 26, 2022
Updated on Nov 26, 2022
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