对PV单二极管模型各关键点的计算方法进行了比较,其中包括最大功率点的新算法

IF 2 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Optimization and Engineering Pub Date : 2023-09-28 DOI:10.1007/s11081-023-09850-8
F. Javier Toledo, Vicente Galiano, Victoria Herranz, Jose M. Blanes, Efstratios Batzelis
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引用次数: 0

摘要

摘要本文对光伏单二极管模型各关键点的计算方法进行了描述和比较。这些点包括短路点、开路点、最大功率点、平均斜率点、最大曲率点和颠簸点。本文的主要贡献是在简化求解单变量方程的计算量的基础上,提出了一种获取最大功率点的新算法。它的唯一解通过使用最近的单二极管模型电流-电压曲线的参数化导致点的显式表达。在前一方程的数值解析中,我们将使用已被证明接近最大功率点的平均斜率点作为起点。在此之前,我们将首次在文献中提供平均斜率点的精确而明确的表达式。提出的新算法达到了最著名的数值方法的精度,但速度快得多,几乎达到显式公式的执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A comparison of methods for the calculation of all the key points of the PV single-diode model including a new algorithm for the maximum power point
Abstract In this paper we describe and compare the methods for the calculation of all the key points of the photovoltaic single-diode model. These include the short-circuit point, the open-circuit point, the maximum power point, the mean slope point, the maximum curvature point, and the jerk point. The main contribution of this paper is a new algorithm to obtain the maximum power point which is based on reducing its computation to solve a single-variable equation. Its unique solution leads to an explicit expression of the point by using a recent parametrization of the single-diode model current–voltage curve. In the numerical resolution of the previous equation, we will use as starting point the mean slope point which has been proved to be close to the maximum power point. Previously, we will provide for the first time in the literature an exact and explicit expression of the mean slope point. The new algorithm proposed reaches the accuracy of the best known numerical methods, but it is much faster, almost reaching the execution times of explicit formulas.
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来源期刊
Optimization and Engineering
Optimization and Engineering 工程技术-工程:综合
CiteScore
4.80
自引率
14.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Optimization and Engineering is a multidisciplinary journal; its primary goal is to promote the application of optimization methods in the general area of engineering sciences. We expect submissions to OPTE not only to make a significant optimization contribution but also to impact a specific engineering application. Topics of Interest: -Optimization: All methods and algorithms of mathematical optimization, including blackbox and derivative-free optimization, continuous optimization, discrete optimization, global optimization, linear and conic optimization, multiobjective optimization, PDE-constrained optimization & control, and stochastic optimization. Numerical and implementation issues, optimization software, benchmarking, and case studies. -Engineering Sciences: Aerospace engineering, biomedical engineering, chemical & process engineering, civil, environmental, & architectural engineering, electrical engineering, financial engineering, geosciences, healthcare engineering, industrial & systems engineering, mechanical engineering & MDO, and robotics.
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