基于萤火虫群算法的光伏模型辨识

2017 International Young Engineers Forum (YEF-ECE) Pub Date : 2017-05-01 DOI:10.1109/YEF-ECE.2017.7935641

Hugo Nunes, J. Pombo, J. Fermeiro, S. Mariano, M. Calado

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引用次数: 3

摘要

本文提出了一种利用萤火虫群优化算法求解光伏板特征参数的新算法。该算法具有简单、灵活、精确的特点，能够在不依赖初始条件的情况下精确定位全局最优点或多个全局最优点。本文采用的方法允许在当前文献中的几个现有模型中使用该算法来表征光伏板。

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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Glowworm Swarm Optimization for photovoltaic model identification

This paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization of the algorithm in several existing models to characterize a photovoltaic panel in the current literature.

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来源期刊

2017 International Young Engineers Forum (YEF-ECE)

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