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Modified normative fish swarm algorithm for optimizing power extraction in photovoltaic systems

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Abstract

Background: According to ASEAN Centre of Energy 2020 report, electrification rates in certain ASEAN countries are considerably low. The energy sector faces issues of unreliable supply, undersupply and high electricity rates. As power supply is an important source of daily requirement, this research work aims to improve the efficiency of solar power generation efficiency. In line with the aim, we proposed a modified Normative Fish Swarm Algorithm (mNFSA) and applied it to Maximum Power Point Tracking (MPPT) process in Photovoltaic (PV) application systems. Significant modifications have been made to the original NFSA, including the removal of unnecessary features, the formulation of modified behaviors, the refinement of adaptive parameters as well as settings, and the implementation of the MPPT architecture. Results: A complete PV system model is constructed for simulation, in which 10 PV arrays with different shading levels are connected in series in the PV panel. For a consistent evaluation, 10 sets of data on maximum extracted power were collected during MPPT simulation process. The statistical data were recorded for comprehensive performance checks. Overall, mNFSA was compared with 6 other optimization algorithms, including 5 state-of-the-art algorithms and 1 related evolutionary algorithm. Conclusions: The results demonstrate that mNFSA outperforms other compared algorithms in terms of maximum extracted power and relative percentage error, demonstrating higher compatibility and effectiveness of mNFSA for MPPT. The statistical results support that mNFSA is one of the most robust algorithms and best suited for MPPT applications.

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Acknowledgements

This research is supported by the Ministry of Higher Education (MOHE) Malaysia under the Fundamental Research Grant Scheme (Grant no. FRGS/1/2021/TK0/USM/02/14).

Funding

This work is financially funded by the Ministry of Higher Education (MOHE) Malaysia under the Fundamental Research Grant Scheme (Grant no. FRGS/1/2021/TK0/USM/02/14).

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Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, 11430, Penang, Malaysia

    Weng-Hooi Tan & Junita Mohamad-Saleh

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  1. Weng-Hooi Tan
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  2. Junita Mohamad-Saleh
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Contributions

W-HT conceived, developed and tested the formulated algorithm, collected and analyzed the data, and wrote this manuscript. JM-S validated the analytical methods and supervised the findings of this work. Both authors revised and approved the final manuscript.

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Correspondence to Junita Mohamad-Saleh.

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Tan, WH., Mohamad-Saleh, J. Modified normative fish swarm algorithm for optimizing power extraction in photovoltaic systems. Evol. Intel. 16, 1135–1154 (2023). https://doi.org/10.1007/s12065-022-00724-z

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