Hybrid Grey Wolf Optimizer Sine Cosine Algorithm based Maximum Power Point Tracking Control of PV Systems under Uniform Irradiance and Partial Shading Condition

Non-uniform irradiance levels, and drastically changing weather and climate conditions cause PV systems to fall in partial shading (PS) category. Under uniform irradiance conditions, conventional MPPT techniques provide a viable solution, however under PS conditions, such techniques fail to perform. Many bio-inspired MPPT control techniques are presented in literature but drawbacks observed in these techniques are high tracking time, oscillations at global maxima (GM) and falling in local maxima (LM) trap under PS. A novel hybrid grey wolf optimizer sine cosine algorithm (HGWOSCA) based MPPT control technique is presented in this paper. Enhancement in performance of PV systems, less convergence time, little or no oscillations around global maxima (GM) are improvements observed in the proposed technique during comparative analysis with other bio inspired techniques. These enhancements are also validated with experimental setup by implementing proposed technique on low cost microcontroller. Comparison also shows the tracking of GM of proposed technique with high efficiency greater than 99.9%, 10-40% less tracking time and less than 0.5 W oscillations at GM under PS conditions. Superiority of proposed technique in terms of sensitivity, solidity and cogency is presented using statistical analysis.