A FLYING SQUIRREL SEARCH OPTIMIZATION FOR MPPT UNDER PARTIAL SHADED PHOTOVOLTAIC SYSTEM
Author(s):
Nilam S. Jarande, Dr. P. V. Paratwar, Prof. Madina Tamboli, Prof. Balaji N. Bedre
Keywords:
Flying squirrel search optimization (FSSO), maximum electricity point tracking (MPPT), partial shaded situations (PSS), photovoltaic (PV) device
Abstract
Partial shade situations (PSS) are an unforeseen trouble for huge-scale solar photovoltaic (PV) systems. p.c may lessen the PV machine's overall performance with the aid of producing repeated peaks within the energy-voltage (P-V) characteristics. For most effective use, the PV gadget ought to be run at its global most electricity point, or GMPP. This paper proposes a machine based totally on Flying Squirrel seek Optimization (FSSO) for the monitoring of GMPP. The authentic FSSO is changed to replace the squirrel function inside the absence of a predator on the way to obtain an effective adoption with a considerably shorter convergence time. A quasi-Z-source converter is utilized in an experimental observe of the cautioned technique to extract the best power under PSS. Better tracking performance, a non-oscillatory steady state response, and fewer transients are produced by way of the counseled design, experimental and simulation. The cautioned method works higher than different we known maximum electricity factor tracking (MPPT) techniques primarily based on Perturb & examine (P&O), Particle Swarm Optimization (PSO), and gray Wolf Optimization (GWO), according to investigations conducted under numerous shading patterns.
Article Details
Unique Paper ID: 163873

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2519 - 2523
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers