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    Performance Enhancement Of Maximum Power …
    (Publisher COMSATS University Islambad Lahore Campus, 2023) Muhammad Saqib Ashraf,; SP17-REE-022; Dr, Muhammad Yaqoob Javeed, Assistant Profesor [Supervisor]; LHR TP 6442
    The demand for electricity has been increased tremendously in the last decade due to the rapid increase in population and exponential growth. The main source of electricity is the conventional energy sources i.e., coal, petroleum and natural gas, etc. However, these non renewable energy sources are getting depleted quickly and putting adverse effects on the environment by the emission of greenhouse gases. Moreover, the current conventional energy system is also facing difficulties in fulfilling the electricity demands, due to increasing power outages, coal prices, and the amount of electricity wastage during transmission through the grids. Therefore, renewable energy sources i.e., solar energy, wind power, and hydroelectricity have been getting immense popularity in the world and they have very little effect on the environment. However, solar energy has numerous advantages over others. Therefore, researchers have been investigating various techniques to convert solar energy to electricity with maximum efficiency. One of the critical problems is the complex partial shading, this occurs when the clouds or any other object stops the light from hitting the panels and this results in two or more peaks that globalize the MPP and it becomes a nonlinear problem. To solve this problem, in this research work a hybrid technique based on Perturb and Observe (P&O) and Dragonfly Algorithm (DA) has been implemented to track maximum power point under both partial shading and complex partial shading scenarios. The simulations are done on Simulink MATLAB and different techniques i.e., P&O, DA, Particle Swarm Optimization (PSO), and Cuckoo Search Algorithm (CSA) are compared with the purposed hybrid technique under four different irradiances i.e., uniform irradiance, partial shading 1, partial shading 2 and complex partial shading. In all cases, the results have been compared and it shows that the developed technique is superior to the compared techniques in terms of transient and power loss. Similarly, GMPP is tracked faster than any method compared with, because the P&O which works before DA reduces the search space and time to achieve GMPP as well.