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@article{163873,
        author = {Nilam S. Jarande and Dr. P. V. Paratwar and Prof. Madina Tamboli and Prof. Balaji N. Bedre},
        title = {A FLYING SQUIRREL SEARCH OPTIMIZATION FOR MPPT UNDER PARTIAL SHADED PHOTOVOLTAIC SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2519-2523},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163873},
        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.},
        keywords = {Flying squirrel search optimization (FSSO), maximum electricity point tracking (MPPT), partial shaded situations (PSS), photovoltaic (PV) device},
        month = {},
        }