PSO Based Design and Analysis of Hybrid Optimization Technique using DC-DC converter with MPPT Technique

C. Nagarajan; Kaliselvi M.; Dhanush M.; Manoj M.; Saravanakumar J.

Abstract

The power voltage trademark curve of photovoltaic (PV) exhibits has several tops under fractional circumstances; The PV model worked at most extreme power gives more effectiveness. With the goal that the MPPT is used. The current Greatest Limit Point Following (MPPT) control strategies might neglect to work. However, the particle swarm optimization (PA) algorithm is more suitable for solving many serious optimization problems. Then this paper proposes a new algorithm search method PSODE to track the maximum output power of photovoltaic arrays. A Particle Swarm Optimization (PSO) algorithm for the proposed method is also presented to control the power delivery between the solar PV, converter, and IoT, which simultaneously provides maximum power point tracking (MPPT) operation for the solar PV. The effectiveness of the proposed Fuzzy Logic Algorithm methodology is investigated to monitoring and controlling the different levels of solar irradiation based on IoT. The proposed method and topology is further validated using an experimental setup in the MATLAB simulation.