Manuscript Number : GISRRJ19265
Maximum Power Point Tracking Method for Solar PV Cells by Using Flower Pollination Algorithm
Authors(2) :-Dr. T. Srinivas Sirish, M. Solomon Solar technology is emerging as one of the main power source. Photovoltaic is a strategy for creating electrical power by changing solar radiation into direct current (dc). The performance of solar PV cell is effected by both temperature and irradiation. Power generation from solar PV has considerable attention of regular availability, Pollution free and eco-friendly nature. The mainproblem is vested with the solar is partial shading (i.e different irradiations) on the panels. In order to get the Maximum Power Point from the PV cells, So many Conventional and soft computing techniques are incorporated. One of the most popular and well known method is Particle Swarm Optimization (PSO). PSO is used to track the Maximum Power Point from the solar PV in uniform irradiation conditions. The PSO is miserably failed to track the MPP under partial shading conditions. The new natural based optimization method of Flower Pollination Algorithm is proposed. The Flower Pollination Algorithm is inspired by the natural pollination process in flowers. The FPA is good in tracking of MPP under uniform and partial shading conditions. In this work the FPA algorithm is applied to three cases of partial shading conditions, such as (i) Zero shaded condition, (ii) Weak Shaded condition and (iii) Strong Shaded condition. Flower Pollination Algorithm is done by two processes i.e, Global pollination and local pollination. The FPA technique has better advantages over PSO especially good tracking of MPP and less convergence time. The simulation results are proved FPA is better in good tracking and high efficiency compared to Particle Swarm Optimization.
Dr. T. Srinivas Sirish Particle Swarm Optimization, FPA , MPP Publication Details Published in : Volume 2 | Issue 6 | November-December 2019 Article Preview
Professor, Department of Electrical and Electronics Engineering, GVP College of Engineering and Technology, Visakhapatnam, Andhra Pradesh, India
M. Solomon
Power Systems and Control Automation, GVP College of Engineering and Technology, Visakhapatnam, Andhra Pradesh, India
Date of Publication : 2019-12-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 48-62
Manuscript Number : GISRRJ19265
Publisher : Technoscience Academy
URL : https://gisrrj.com/GISRRJ19265