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A Novel Honey Badger Optimization MPPT Control for a High Gain Non-Isolated DC–DC Converter for PV Applications

Rishikesh Sripathi, Narayana Rao Kolagani, Naresh Patnana

Abstract


The Pulse-width modulation (PWM), a technique used by DC-DC power converters, is currently a hot topic in a variety of applications, including those utilising renewable energy sources. Thus, A novel, The development of a very effective non-isolated converter. To extract the maximum PV system power. In varying weather conditions, maximum power is used to control PV system loading. The maximum power of a PV system is controlled using a fractional order proportional-integral-derivative (FOPID). However, the MPPT is less efficient as partial shading increases. The Honey Badger Optimization (HBO) algorithm is introduced to improve the efficiency and convergence of MMPT. The inspiration for this HBO model is the superior foraging behaviour of honey badgers. This HBO model is utilized to provide the optimal solution for GMPP tracking and speed convergence. The proposed converter has several benefits, including high output and gain voltages. This proposed converter operates in two modes. The converter and controller proposed are used to extract the most power. The proposed system is created with the aid of MATLAB/Simulink, and its performance is measured using PV and converter parameter metrics. The proposed approach is examined under two operating situations, namely, constant, and variable irradiance. The Flower Pollination Algorithm (FPA), Gravitational Search Algorithm (GSA), and Particle Swarm Optimization (PSO), respectively, are used to compare the new method to the conventional methods.

 


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References


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