Parameter Extraction of PV Module using CamWOA Technique

B. Prasad, Nutan Saha, G. Panda
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Abstract

In this work, a novel parameter extraction technique for Photo Voltaic module known as Cosine Adapted Modified Whale Optmisation Algorithm is presented. For correct mathematical modeling and for further analysis, correct parameter estimation is necessary. Many parameter extraction techniques have been reported in literature. Still many more techniques that are capable of extracting global optimized parameter during varying weather states are required to explore in varying weather conditions. Cam WOA technique is the modified form of Whale Optimisation Technique. In this work a novel parameter extraction technique based on CamWOA is proposed for parameter extraction. The proposed Hybrid BESAS Technique is tested on PV module and also in different weather condition. The effect of these extracted parameter on PV module performance is also discussed. From the analysis of simulation results it is found that the proposed Cam Woabased parameter extraction scheme is more accurate as compared to WOA technique.
基于CamWOA技术的光伏组件参数提取
在这项工作中,提出了一种新的光伏模块参数提取技术,即余弦适应修正鲸鱼优化算法。为了正确的数学建模和进一步的分析,正确的参数估计是必要的。文献中报道了许多参数提取技术。在不同的天气条件下,还需要探索更多能够在不同天气状态下提取全局优化参数的技术。Cam WOA技术是鲸鱼优化技术的改进形式。本文提出了一种基于CamWOA的参数提取技术。本文提出的混合BESAS技术在光伏组件和不同天气条件下进行了测试。讨论了这些提取参数对光伏组件性能的影响。仿真结果分析表明,与WOA技术相比,本文提出的基于Cam WOA的参数提取方案更加精确。
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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