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Maximum Power Point Tracking (MPPT) is an essential task when the solar photovoltaic (PV) system faces abrupt changes in light power or Partial Shading Condition (PSC). This paper proposes two distinctive optimization techniques, namely Particle Swarm Optimization (PSO) and Cuckoo Search (CS) for MPPT under PSC. Both techniques are tested under three different PSC patterns in MATLAB Simulink. Tracking efficiency of 99.86% and response time of 1.71ms were noted for PSO-based MPPT. Similarly, tracking efficiency of 99.84% and response time of 0.68ms were noted for CS-based MPPT. The proposed algorithms are experimentally validated concerning tracking speed, efficiency, complexity, and oscillations around Global MPP (GMPP). PSO method achieves 118.51% and 114.28% improvement in efficiency compared to P&amp;O and IC, respectively. Similarly, the CS method achieves 118.53% and 114.29% improvement in efficiency compared to P&amp;O and IC, respectively.

Optimization-based maximum power extraction from solar photovoltaic system under non-uniform irradiance