
A Novel Current Sensor less MPPT based Approach for PV Applications Using PSO Technique
Author(s) -
V.V. Ravi Kumar,
T. N. Sreedhar Kumar,
K T Prajwal
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 - 10.1088/1742-6596/2070/1/012123
Subject(s) - maximum power point tracking , photovoltaic system , matlab , microcontroller , particle swarm optimization , maximum power principle , renewable energy , computer science , power (physics) , current sensor , voltage , solar energy , electronic engineering , control theory (sociology) , engineering , electrical engineering , inverter , algorithm , computer hardware , artificial intelligence , physics , control (management) , quantum mechanics , operating system
As an increased demand in power resources and to reduce global warming, Renewable Energy Sources (RES) are preferred over the conventional sources. Among various available RES, solar energy is the effective and efficient one. The solar energy is also clean and free energy. The use of Maximum Power Point Tracking (MPPT) is the one of the techniques to get maximized output power from the Photo Voltaic (PV) system. The proposed method uses a voltage sensor by eliminating the need of current sensor based on selected technique using Partial Swarm Optimization (PSO) technique interfaced with DC-DC boost converter. PSO technique is one of the methods which has high conflux speed, to precisely track the maximum power. The result of the planned methodology is studied with the assistance of an acceptable simulation applied in MATLAB/Simulink setting for experiment to valid of microcontroller which is employed. The result obtained from the simulations studies showed that current sensor less methodology using PSO technique can extract the maximize power from PV systems.