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Improved INC-MPPT Strategy Based on New Small-Signal Design Model for Solar System Using Frequency Data Extracted Through Graphical Interface of Plecs® Software

  • Research Article-Electrical Engineering
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Abstract

Several existing research studies on the modeling of photovoltaic (PV) systems feeding a resistive load through a DC-DC converter have proven that the use of the small-signal approach using analytical or graphical methods for the design of a linear model is failing. This is due to the fact that the simplified linear model, usually presented by a transfer function, is unable to reveal all the existing information about the actual solar system behavior when subjected to the Standard Test Conditions (STC). Since it does not take into account: (i) the nonlinearity of the current–voltage (I-V) characteristic of the solar panel, (ii) the presence of elementary components in both the solar panel and the DC-DC converter, which are often unmodeled and cannot be easily considered in the modeling, (iii) the existence of extra components in the DC-DC converter and more dynamics that must be neglected at high frequencies, for example those describing the thermal energies dissipated in the IGBT part of the DC-DC boost converter, the presence of cross-coupling between some electrical quantities occurring either in the DC-DC boost converter or in the solar panel, etc. For these reasons, this paper proposes a new design of a small-signal linear model to accurately describe the actual solar system behavior operating at STC. This is achieved by considering its internal functioning as a black box where only its input–output measurements are available in the form of frequency response data (FRD), generated by running a free stand-alone Plecs® software package. As this software has the ability to perfectly model the behavior of boost DC-DC converters, previously connected by variable resistive loads, it is possible thanks to the existence of equivalent electrical circuits, available in its own library. Unfortunately, this library lacks an equivalent circuit for the KC200GT photovoltaic panel where its design is needed through evaluating its current–voltage characteristics. The resulting global model is then simulated in the modified Plecs® software, providing the desired FRDs. These are used to estimate the parameters of the proposed linear model, which then used for tuning the PID controller. Here, this controller is combined with the standard Maximum Power Point Tracking (MPPT) strategy based on the direct implementation of the Incremental Conductance (INC) algorithm, highlighting therefore the proposed improved INC-MPPT strategy. It perfectly overcomes the ripple problems encountered in some electrical components of the solar system when controlled by the standard INC-MPPT strategy. As the proposed improvements depend on the model accuracy, the main contribution of this paper lies therefore on the necessary steps to design this proposed small-signal model.

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Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Automatics and Electroomechanics, Faculty of Science and Technology, University of Ghardaia, 47000, Ghardaia, Algeria

    Mohcene Bechouat

  2. Laboratoire des Télécommunications LT, University 8 Mai 1945, Guelma, Algeria

    Mohcene Bechouat, Moussa Sedraoui & Siham Aissani

Authors
  1. Mohcene Bechouat
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  2. Moussa Sedraoui
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  3. Siham Aissani
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Contributions

BM, SM and AS have contributed equally in the preparation of this manuscript.

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Correspondence to Mohcene Bechouat.

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Appendix

Appendix

See Figs.

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KC200GT panel implemented in Matlab/Simulink®

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INC-MPPT algorithm implemented in Matlab/Simulink®

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Electrical circuit describing an ideal DC-DC boost converter implemented in Matlab/Simpower®

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Electrical circuit describing the variable resistive load

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Bechouat, M., Sedraoui, M. & Aissani, S. Improved INC-MPPT Strategy Based on New Small-Signal Design Model for Solar System Using Frequency Data Extracted Through Graphical Interface of Plecs® Software. Arab J Sci Eng 49, 7113–7126 (2024). https://doi.org/10.1007/s13369-023-08661-4

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  • DOI: https://doi.org/10.1007/s13369-023-08661-4

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