Optimal Operation of Solar Battery Chargers via Mixed-Integer Linear Programming

This paper considers an islanded system consisting of a photovoltaic source connected to a battery storage through power converters, subject to a time varying load. An innovative charging architecture composed of two DC-DC converters and a super-capacitor is considered, and a novel modeling and optimal control framework is proposed with the aim of optimizing battery charge/discharge cycles while satisfying given generation and load profiles. Nonlinearities and nonconvex constraints arising from the electrical models are suitably treated in order to devise an optimal control problem involving linear dynamics that can be solved to the global optimum via mixed-integer linear programming. Numerical simulations based on a real data set show the effectiveness of the proposed approach as well as its computational feasibility.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3573333
Citations
2
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
1.37
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article

Optimal Operation of Solar Battery Chargers via Mixed-Integer Linear Programming

Gabriele Maria Lozito, Marco Casini, Antonino Laudani, Gianni Bianchini
2 citations
IEEE Control Systems Letters
Advanced Battery Technologies Research
1.37
article

Optimal Operation of Solar Battery Chargers via Mixed-Integer Linear Programming

Gabriele Maria Lozito, Marco Casini, Antonino Laudani, Gianni Bianchini
article en
2 citations

Abstract

This paper considers an islanded system consisting of a photovoltaic source connected to a battery storage through power converters, subject to a time varying load. An innovative charging architecture composed of two DC-DC converters and a super-capacitor is considered, and a novel modeling and optimal control framework is proposed with the aim of optimizing battery charge/discharge cycles while satisfying given generation and load profiles. Nonlinearities and nonconvex constraints arising from the electrical models are suitably treated in order to devise an optimal control problem involving linear dynamics that can be solved to the global optimum via mixed-integer linear programming. Numerical simulations based on a real data set show the effectiveness of the proposed approach as well as its computational feasibility.

IEEE Control Systems LettersVol. 9
University of Siena (IT), University of Catania (IT), University of Florence (IT)
Affordable and clean energy
Openalex Percentile: Top 19%
Advanced Battery Technologies Research
1.37
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Optimal Operation of Solar Battery Chargers via Mixed-Integer Linear Programming — Gabriele Maria Lozito, Marco Casini, et al. · IEEE Control Systems Letters (2025) | TGRS Research Map | TGRS