Performance analysis of multiple gain boost converter with hybrid maximum power point tracker for solar PV connected to grid

This paper analyses the performance of a multiple gain boost converter(MGBC)connected to a solar photovoltaic(SPV)system with a grid-tied inverter.The capacitor inductor capacitor(CLC)-based MGBC is integrated to lift the output voltage of the SPV to the required level.The voltage lifts/levels in a boost converter(BC)are based on the number of CLC cells.The suggested MGBC is compared with various conventional BCs in terms of boost factor and component count.A hybrid fuzzy logic-perturb&observe maximum power point tracker(HFL-P&O MPPT)developed is used to monitor P_(max)(maximum power)generated by the SPV.Also,a comparative analysis of the suggested MPPT with a conventional P&O and fuzzy logic-based(FLB)MPPT for a CLC-based MGBC is presented.The comparison is made in terms of rise time,voltage ripples(%),steady-state time and boost factor.The output characteristics of the developed model for different irradiation conditions are analysed using the MATLAB/Simulink tool.The MPPT simulation result exhibits minimum oscillations at MPP and a significantly better rise time of 0.015 s when compared with a conventional MPPT and FLB MPPT.The proposed CLC-MGBC gives an appreciable boost factor of 4.The generated SPV power is supplied to the grid through a conventional inverter and synchronized using a phase-locked loop system.The total harmonic distortion of 1.66%obtained in the output current of the inverter is within the permissible range of the IEEE standards.

Interleaved high-gain boost converter powered by solar energy using hybrid-based MPP tracking technique

This paper presents a solar-powered interleaved high-gain boost converter(IHGBC)that increases voltage gain with fewer ripples in the output voltage in comparison to existing DC-DC converters.The goal of this research is to develop a hybrid-based maximum power point tracking(MPPT)approach with the combination of a flower pollination(FP)algorithm assisted with a perturb&observe(P&O)MPPT approach for solar photovoltaic(SPV)systems integrated with IHGBC.To ensure effective usage of both FP and P&O algorithms,this study incorporates and validates the hybrid-based MPPT approach.The proposed solar-powered IHGBC with a hybrid-based MPPT algorithm has been computationally modelled and simulated using MATLAB®and Simulink®for both uniform and non-uniform irradiation and analysed for voltage gain,ripples in the output waveforms and convergence time.The proposed hybrid-based MPPT is based on a number of flowers that forecast the initial global peak,assisted by P&O in the last stage for faster convergence to attain the maximum power point(MPP).As a result,the hybrid-based MPPT approach alleviates the computational issues encountered in P&O and FP-based MPP approaches.The proposed hybrid MPPT is compared with conventional MPPT for SPV and the results show that the solar-powered IHGBC using a hybrid-based MPPT technique has negligible oscillations of 0.14%with a high-voltage gain of 7.992 and a fast convergence rate of 0.05 seconds compared to individual P&O-based MPPT and FP-based MPPT techniques.The simulation results of the proposed MPPT with IHGBC outperform the conventional MPPT with high-gain converters.