利用基于多源引导的教学优化,优化光伏电池和模块的等效电路模型

IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Ain Shams Engineering Journal Pub Date : 2024-11-01 DOI:10.1016/j.asej.2024.102988
Yasha Li , Guojiang Xiong , Seyedali Mirjalili , Ali Wagdy Mohamed
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引用次数: 0

摘要

光伏电池和组件等效电路模型的复杂性给参数提取方法带来了困难。基于教学的优化(TLBO)是一种有效的基于元启发式的参数提取方法,但它存在精度不够和可靠性低的问题。本研究通过改进 TLBO 的两个优化阶段,提出了一种多源引导 TLBO。在教师阶段,设计了一种多源引导方法,采用一对一和分步教学策略来引导不同的学习者。此外,还针对不同知识储备的学习者引入了基于多个学习者的不同策略,以加强信息交流。通过这些改进,降低了出现局部最优的可能性,从而加快了全局收敛的速度。我们在单二极管模型、双二极管模型和三个附加模块上验证了所产生的方法。结果表明,该方法在精度和可靠性方面获得了更好的解决方案,在众多算法中脱颖而出。
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Optimal equivalent circuit models for photovoltaic cells and modules using multi-source guided teaching–learning-based optimization
The complexity of equivalent circuit models of photovoltaic cells and modules poses a difficult task to the parameter extraction methods. Teaching-learning-based optimization (TLBO) is a potent metaheuristic-based parameter extraction method, but it suffers from insufficient precision and low dependability. This study presented a multi-source guided TLBO through improving its two optimization phases. A multi-source guided approach with one-to-one and step-by-step teaching strategies was designed to guide different learners in the teacher phase. Besides, different strategies based on multiple learners were introduced for learners with different knowledge reserves to strengthen information exchanging. With the improvements, it is advantageous to lessen the likelihood of hitting a local optimum and thereby the global convergence can be accelerated. The resultant method was verified on single diode model, double diode model, and three additional modules. The findings demonstrate that it obtained better solutions in precision and dependability, and stood out from the crowd of algorithms.
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来源期刊
Ain Shams Engineering Journal
Ain Shams Engineering Journal Engineering-General Engineering
CiteScore
10.80
自引率
13.30%
发文量
441
审稿时长
49 weeks
期刊介绍: in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.
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