Improved parameter estimation of triple-diode photovoltaic systems

IF 2.5 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Computational Electronics Pub Date : 2025-09-13 DOI:10.1007/s10825-025-02405-3

Oluwasegun Ajetunmobi, Talha Ali Khan, Syed Arslan Abbas Rizvi, Raja Hashim Ali

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引用次数: 0

Abstract

Accurately modeling solar photovoltaic (PV) systems requires extracting a set of unknown parameters, it is a complex, nonlinear optimization problem involving multiple variables. This study introduces six targeted modifications to the improved whale optimization algorithm (IWOA), designed to enhance its efficiency and reliability. By incorporating a blend of algebraic and transcendental functions, these modifications improve the algorithm’s ability to balance exploration and exploitation. Performance was evaluated through ten benchmark functions, with results analyzed statistically. The enhanced algorithm was then applied to estimate nine unknown parameters in the three-diode PV model, known for its high accuracy in simulating real PV behavior. Validation against real-world data from commercial PV modules, such as the KC200GT and MSX-60, demonstrated that the modified IWOA can generate highly precise models. The results confirm the algorithm’s potential as a practical and robust tool for PV system modeling.

Abstract Image

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改进的三二极管光伏系统参数估计

太阳能光伏（PV）系统的精确建模需要提取一组未知参数，这是一个涉及多变量的复杂非线性优化问题。本研究对改进的鲸鱼优化算法（IWOA）进行了六项有针对性的修改，旨在提高其效率和可靠性。通过结合代数和超越函数的混合，这些修改提高了算法平衡探索和利用的能力。通过十个基准函数评估性能，并对结果进行统计分析。然后，将改进算法应用于估计三二极管PV模型中的9个未知参数，该模型以其模拟真实PV行为的高精度而闻名。商用光伏组件（如KC200GT和MSX-60）的实际数据验证表明，改进的IWOA可以生成高度精确的模型。结果证实了该算法作为光伏系统建模实用且稳健的工具的潜力。

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来源期刊

Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED

CiteScore

4.50

自引率

4.80%

发文量

142

审稿时长

>12 weeks

期刊介绍： he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.