Abstract
This paper presents a new linear model design including the KC200GT photovoltaic generator GPV panel, DC-DC boost converter, and resistive load. The small-signal principle is indeed applied to the configuration connecting these three devices that are previously developed graphically using the \(Matlab^{\circledR }/Simulink\) software package. This new model design is established through a set of proposed steps, providing the first contribution of this paper. A new voltage proportional-integral-derivative (PID) controller is synthesized based on the previous linear small-signal model. The controller parameters are computed by proposing a reference open-loop system and using the frequency identification approach, providing the second contribution of this paper. The resulting PID controller is combined with the classical perturb and observe (P &O) algorithm where its fill factor (FF) and its reference tracking dynamic are significantly improved. Improving these two performances for a sudden change of both climatic conditions, i.e., absolute temperature and solar irradiance, constitutes another contribution of this paper. Given improving the previous two performances, the maximum power point tracking (MPPT) scheme with oscillation free tracking of the desired MPP is established for conventional and improved P &O algorithms using \(Simpower^{\circledR }\) system libraries of the \(Matlab^{\circledR }/Simulink\) environment. The given simulation tests confirm the effectiveness of the proposed P &O-MPPT control strategy in terms of reference tracking accuracy, rise and settling times, and solving the ripple issue that occurred in the DC-DC boost converter output current.
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Siham Aissani, Sami Kahla, Mohcene Bechouat, Toufik Amieur and Moussa Sedraoui have contributed equally in the preparation of this manuscript.
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Aissani, S., Kahla, S., Bechouat, M. et al. A Voltage PID Controller Synthesis Based on a New Small-Signal Linear Model to Enhance the Performance of the Standard P &O Algorithm Employed in Photovoltaic Panels. Arab J Sci Eng 48, 6615–6630 (2023). https://doi.org/10.1007/s13369-022-07494-x
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DOI: https://doi.org/10.1007/s13369-022-07494-x