Abstract

PANCHI, D.M.; LOZADA, C.X.; SANCHEZ, W.D.  and  JACHO, A. E.. Linear Regression for the Identification of the Maximum Power Point in Hybrid Microgrids Implemented in HYPERSIM. Revista Técnica energía [online]. 2024, vol.20, n.2, pp.34-46. ISSN 2602-8492.  https://doi.org/10.37116/revistaenergia.v20.n2.2024.618.

The present work focuses on the optimization of maximum power tracking (MPPT) in photovoltaic systems by employing a new technique based on linear regression. The main purpose is to develop an MPPT algorithm using linear regression techniques, which involves identifying and tracking the maximum power point of solar panels more accurately. The proposed algorithm is developed in MATLAB/Simulink software and validated through experimental tests. Subsequently, the application of the algorithm is extended to an electrical network modeled and simulated in HYPERSIM software, this tool allows a more detailed analysis of the instantaneous dynamics of electrical and control variables in complex systems when varying factors such as temperature and irradiation. The innovative contribution of this work is not only limited to the improvement of MPPT algorithms in photovoltaic systems. It is highlighted that, although the term MPPT is mainly associated with solar PV, the optimization of available power is also relevant for other renewable energy sources. Optimizing the conversion of solar energy into usable electricity not only increases the cost-effectiveness and sustainability of these systems, but also highlights the key role in the transition to a more sustainable electricity supply.

Keywords : MPPT; Linear Regressors; HYPERSIM; Clusters; Photovoltaic Systems..

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