Hybrid Optimization Algorithms for Maximum Power Point Tracking based Incremental Conductance Techniques with Solar Cell

Abstract

Nowadays, the modern world has more concern about increasing population as well as environmental changes. Hence using the Renewable Energy Sources (RES), power generation systems have actively developed in many countries. One of the main sources of RES is solar energy. In solar energy system, emitted energy from the sun is directly converted to electricity in Photovoltaic (PV) system. This research focuses on the advanced techniques based Maximum Power Point Tracking (MPPT) on grid connected and standalone solar PV applications. In this presents the MPPT of standalone solar PV system with Luo converter. Here, to authenticate the performance of the MPPT system with Luo converter, an incremental conductance technique of SPWM and SVM are used. The comparison of maximum power point tracking of integrated PV system with Sinusoidal Pulse-Width Modulation (SPWM) and Space Vector Pulse Width Modulation (SVPWM) techniques. The SVM performance is greater than the SPWM technique and also SVM technique provides better result than the SPWM. Here, Man of League Algorithm (MLA) is presented for the purpose of preserving the dc voltage of the system.