Standalone PV systems are autonomous power systems that use solar panels to generate electricity and do not rely on the grid for power. To lower the cost and boost efficiency of solar power generation in remote regions, the MPPT controllers have been employed. Design of standalone PV systems with suitable MPPT in rural areas shows better performance. Such systems performance can be further improved by using various optimization techniques. One such optimization technique is Grey Wolf Optimization (GWO). GW based optimization is used to optimize the sizing of PV panels and inverters in standalone PV systems. Apart from these, it can be used for the selection of suitable PV technology and its location for yielding enhanced performance. The proposed optimization technique is effective in finding the optimal solution in a shorter time compared to other optimization methods. GWO has been shown to achieve maximum of 2765 rpm in finding the optimal switching sequence for BLDC motor applications, leading to improved torque, power and efficiency. GWO based MPPT control of solar PV generation for BLDC motor was developed. By simulating the proposed system with MATLAB/Simulink, the appropriateness of the system for different perturbations is assessed.
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B et al. (2024) studied this question.
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