Predictive-TOPSIS based MPPT for PEMFC Featuring Switching Frequency Reduction

Hazrul, Mohamed Basri and Jye Yun, Fam and Shen Yuong, Wong and Kasumawati, Lias and Mohammad Omar, Abdullah and Saad, Mekhilef (2023) Predictive-TOPSIS based MPPT for PEMFC Featuring Switching Frequency Reduction. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 11 (3). pp. 656-672. ISSN 2089-3272

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Abstract

A maximum power point tracking (MPPT) for a proton exchange membrane fuel cell (PEMFC) using a combination of conventional finite control set model predictive control (FCS-MPC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is proposed in this paper. The key idea is to maximize the power generation from a PEMFC while minimizing the switching frequency of the power converter. The FCS-MPC technique is formulated to track the maximum power of PEMFC highly affected by ever-changing internal parameters. Meanwhile, the TOPSIS algorithm is applied to overcome the potential weaknesses of insulated-gate bipolar transistor (IGBT), which can only withstand a lower switching frequency. In this project, all simulations were run using MATLAB software to display the output power of the PEMFC system. As a result, the proposed predictive-TOPSIS-based MPPT algorithm can track the MPP for various PEMFC parameters within 0.019 s with an excellent accuracy up to 99.11%. The proposed MPPT technique has fast-tracking of the MPP locus, excellent accuracy, and robustness to environmental changes.

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