Open AccessEvaluation and Implementation of Particle Swarm Optimization Maximumpower Point Tracking Technique for Photo Voltaic System
Author(s) -
Pamula Raja Kumari,
Polaiah Bojja,
B. Pragathi,
T. Prasanth kumar reddy,
P. V. Anantha Lakshmi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1804/1/012188
Subject(s) - maximum power point tracking , particle swarm optimization , duty cycle , control theory (sociology) , photovoltaic system , matlab , power (physics) , maximum power principle , tracking (education) , computer science , voltage , point (geometry) , engineering , electronic engineering , algorithm , mathematics , inverter , physics , electrical engineering , artificial intelligence , psychology , pedagogy , geometry , control (management) , quantum mechanics , operating system
The power generated from the solar PV panels by photovoltaic effect is varying on the particular day. To extract the peak power from the solar panels maximum power point tracking (MPPT) techniques are developed. The demerits of conventional MPPT techniques are slow tracking of the peak point and inaccurate setting of the peak operating voltage point VMPP. The paper proposes the various MPPT techniques and the particle swarm optimization (PSO) MPPT technique. The proposed PSO-MPPT technique improves the productivityand performance of the system. The comparison of various MPPT algorithms based on the performance characteristics are discussed in the paper. The proposed particle swarm optimization MPPT algorithm is efficient, simple and accurate which increases the panel power, by controlling the duty cycle of the switching pulse in the DC converter section under varying weather conditions. The proposed particle swarm optimization MPPT technique is simulated in MATLAB/SIMULINK.