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Modelling a Solar Module and Tracing Maximum Power Point Under Variant Ambient Conditions

机译:在变体环境条件下建模太阳能模块和追踪最大功率点

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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.
机译:本文提出了光伏模块的数学建模,并解决了跟踪和识别与电压值相关的最大功率点(MPP)的技术。通过使用扰动和观察算法,然后通过蚁群优化技术来解决MPP。模拟在Matlab平台上完成。模拟结果证明了更好的建模结果对数据表上指定的值的较小错误以及在文献中已报告的结果。本文讨论的蚁群优化算法与算法对算法进行了较小的修改,以适应已经报告的当前情况。即使在环境温度变化的不利情况下,该算法也提供了更快的收敛性和稳定的输出,即使在通过云或落树分支导致的局部阴影条件下,太阳能缺失水平的变化,也是如此。

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