不同环境条件下太阳能组件建模与最大功率点跟踪

A. Shukla, Jasdeep Kour
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引用次数: 3

摘要

本文提出了光伏组件的数学模型,并研究了跟踪和识别与电压值相关的最大功率点(MPP)的技术。首先采用扰动和观察算法求解MPP,然后采用蚁群优化技术求解MPP。仿真是在MATLAB平台上完成的。仿真结果证明了较好的建模结果,与数据表上指定的值和文献中已报道的结果误差较小。本文讨论的蚁群优化算法与元启发式技术非常一致,并且对算法进行了较少的修改以适应已有报道的现状。即使在环境温度变化、太阳日照水平变化等不利情况下,甚至在由于云层或树枝掉落造成的部分遮阳条件下,该算法也能提供更快的收敛速度和稳定的输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling a Solar Module and Tracing Maximum Power Point Under Variant Ambient Conditions
This paper proposes the mathematical modelling of a photovoltaic module and works out on techniques for tracking and identifying the Maximum Power Point (MPP) related to a voltage value. The MPP is worked out by using a Perturb and Observe algorithm and then by Ant Colony optimization technique. The simulation is done on MATLAB platform. The simulation outcomes prove better modelling results with lesser error to the values specified on the datasheet and to the results already reported in literature. Ant Colony optimization algorithm discussed in the paper is quite consistent with the metaheuristic techniques and lesser modification is done to the algorithm to suit the current situation as already reported. This algorithm provides faster convergence and a steady output even under adverse situations like change in ambient temperature, change in solar insolation levels and even under partial shading conditions caused due to passing clouds or falling tree branches.
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