Advanced Techniques Based Maximum Power Point Tracking On Solar Pv Applications

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 dissertation focuses on the advanced techniques based Maximum Power Point Tracking (MPPT) on grid connected and standalone solar PV applications. The first chapter explains the introduction about MPPT of grid connected system with various renewable energy sources. Second chapter is describes the elaborate literature review about the MPPT of grid connected system with hybrid renewable energy sources. Third chapter 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 techniques of SPWM and SVM are used. Fourth chapter describes 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 proposed Space Vector newline newline newline newlineModulation (SVM) and SPWM method outcomes are compared and analyzed. The SVM performance is greater than the SPWM technique and also SVM technique provides better result than the SPWM. Fifth chapter presents the maximum power point tracking of PV system utilizing man based space vector modulated inverter. Here, Man of League Algorithm (MLA) is presented for the purpose of preserving the dc voltage of the system. Sixth chapter describes the MPPT of solar PV system with multi level inverter. Here, the proposed approach is the combination of improved dolphin echolocation algorithm (IDEA) and gradient boosting decision trees (GBDT), hence known as IDE-GBDT approach. The objective of the proposed method with multilevel inverter is to minimize