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Research Scholar, Department of Electrical Engineering, Annamalai University, Tamil Nadu, India
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Associate Professor, Department of Electrical Engineering, Annamalai University, Tamil Nadu, India
Professor, Department of Electrical and Electronics Engineering, R.V.R.& J.C. College of Engineering, Guntur, Andhra Pradesh, India
Incorporation of renewable energy resources in contemporary electricity generation systems has led to major difficulties in attaining effective energy harnessing, constant voltage regulation, and efficient power management amid varying environments. Traditional Maximum Power Point Tracking (MPPT) strategies, like the Perturb & Observe (P&O) and Incremental Conductance (INC), frequently encounter drawbacks such as slow convergence rates, steady-state oscillations, and poor tracking efficiency in PV and wind-based energy systems. In light of these issues, the present work suggests a new model known as the Hybrid Intelligent Power Management and Conversion System (HIPMCS). It uses the combination
of a multi-input DC-DC converter along with the intelligent Particle Swarm Optimization (PSO)-based MPPT control mechanism. This system ensures the simultaneous extraction of maximum energy from the PV and wind-based energy sources. The algorithm was tested and analyzed in MATLAB/Simulink considering various levels of solar insolation, wind speed, and loads. The performance evaluation of the system was done based on various parameters such as accuracy of the tracker, energy conversion efficiency, convergence time, and tracker error rate. It was found that the PSO-MPPT-based scheme resulted in an accuracy of 97.6%, energy conversion efficiency of 92.4%, convergence time of 0.46 seconds, and the least tracking error of 0.31%, which is superior compared to the conventional P&O, INC, GA-MPPT, and GWO-MPPT systems regarding system stability and dynamic response. Moreover, the suggested HIPMCS-based model improved the production of renewable energy by about 12% to 18%, while decreasing steady-state oscillations and improving voltage stabilization at DC buses.
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