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

机译:组合简化的萤火虫和改进的P&o算法,实现局部遮阳条件下光伏系统的最大功率点跟踪

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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).
机译:本文提出了Firefly和P&O算法的组合来获得其效益。简化萤火虫算法用于逸出由于部分着色条件(PSC)引起的部分着色多峰状况。当它尚未收敛时,所使用的算法被切换到更快的改进的P&O算法。该提出的算法是在三个阴影条件下获得光伏(PV)系统的最大功率点跟踪(MPPT)的最佳解决方案。将仿真结果与传统的扰动和观察(P&O)进行比较,简化萤火虫算法(SFA),以验证所提出的方法性能。与其先前的萤火虫算法(SFA)的先前方法相比,所提出的算法的主要优点是更快的收敛和跟踪速度。

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