Combining Simplified Firefly and modified P&O algorithm for Maximum Power Point Tracking of photovoltaic system under Partial Shading Condition

Y. M. Safarudin, A. Priyadi, M. Purnomo, M. Pujiantara
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引用次数: 9

Abstract

This paper proposes the combination of firefly and P&O algorithm to get both of its benefit. Simplified firefly algorithm used for escaping partial shading multi peaks condition due to Partial Shading Condition (PSC). When it goes yet to converge, the algorithm used is switched to faster modified P&O algorithm. This proposed algorithm is to obtain the optimal solution for Maximum Power-Point Tracking (MPPT) of Photovoltaic (PV) system under three shaded conditions. The simulation results are compared with traditional Perturbation and Observation (P&O) and Simplified Firefly Algorithm (SFA) to verify the proposed method performance. The main advantage of proposed algorithm is faster convergence and tracking speed compared to its previous method that is Simplified Firefly Algorithm (SFA).
结合简化萤火虫算法和改进P&O算法的部分遮阳条件下光伏系统最大功率点跟踪
本文提出将萤火虫算法与P&O算法相结合,以获得两者的优点。基于部分遮阳条件(PSC)的部分遮阳多峰条件的简化萤火虫算法。当算法尚未收敛时,将算法切换为更快的改进P&O算法。该算法针对三种阴影条件下光伏系统最大功率点跟踪(MPPT)的最优解进行求解。仿真结果与传统的扰动观测算法(P&O)和简化萤火虫算法(SFA)进行了比较,验证了该方法的性能。该算法的主要优点是收敛速度和跟踪速度比先前的简化萤火虫算法(Simplified Firefly algorithm, SFA)更快。
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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