The Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm in solar Photovoltaics (PV) is popular owing to its simplicity. However, its drawbacks, (i) operating point divergence and (ii) tradeoff between fast convergence and balanced state oscillations decelerate the usage. Most of the developments in the literature to overcome these drawbacks increase complexity. To retain simplicity and also to improve tracking efficiency, this paper proposes a Coarse and fine control algorithm. This proposal has distinct aspects, having three control modes. Mode 1 and 2 enhance fast convergence and mode 3 controls stable state oscillations. The comparative analysis from simulation proves that the proposed technique has fast convergence, reduced balanced state oscillations, better tracking efficiency, and minimum transient power loss than the other techniques.

太阳能光伏 (PV) 中的扰动和观察 (P&O) 最大功率点跟踪 (MPPT) 算法因其简单性而广受欢迎。然而，它的缺点，（i）工作点发散和（ii）快速收敛和平衡状态振荡之间的权衡减慢了使用速度。克服这些缺点的文献中的大多数发展都增加了复杂性。为了保持简单性并提高跟踪效率，本文提出了一种粗细控制算法。该提案具有不同的方面，具有三种控制模式。模式 1 和 2 增强了快速收敛，模式 3 控制稳定状态振荡。仿真对比分析证明，所提技术收敛速度快，平衡态振荡小，跟踪效率好，