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Electrical parameter computation of various photovoltaic models using an enhanced jumping spider optimization with chaotic drifts

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Abstract

When it comes to identifying the industrial solutions of solar photovoltaic (PV) systems, one of the difficult tasks is predicting the effectiveness of a PV system since the P–V, and I–V features of a PV system are nonlinear in nature. It is important to evidence that most manufacturers’ specification sheets do not include comprehensive data about the equivalent circuit variables of PV models, which is essential to simulate an accurate solar module. Contrasted to other methods of extracting parameters from solar PV cells/modules, global research methodologies, and metaheuristic optimization algorithms are highly suitable as the main substitute for parameter extraction. Accordingly, this study proposes a new optimization approach for extracting the characteristics of solar PV cells/modules of various models, such as single-diode, double-diode, and module models, while accurately depicting the I–V and P–V curves. This is accomplished by using a chaotic generator in conjunction with the recently reported jumping spider optimization algorithm (JSOA) to obtain PV parameters from the optimization process. Comparative performance analysis reveals that the suggested optimization method, called CJSOA using a chaotic-based search sequence, performs better than many state-of-the-art optimization algorithms in terms of precision and reliability when identifying the PV parameters, as demonstrated in this paper. With the average Friedman’s ranking test value of 1.397, the proposed CJSOA stood first among all selected algorithms.

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  1. Department of Electrical and Electronics Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India

    Lakshmanan Muthuramalingam

  2. Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India

    Kumar Chandrasekaran

  3. Department of Electrical and Electronics Engineering, Bethlehem Institute of Engineering, Karungal, Kanniyakumari, Tamil Nadu, India

    Felix Joseph Xavier

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Muthuramalingam, L., Chandrasekaran, K. & Xavier, F.J. Electrical parameter computation of various photovoltaic models using an enhanced jumping spider optimization with chaotic drifts. J Comput Electron 21, 905–941 (2022). https://doi.org/10.1007/s10825-022-01891-z

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