Work

Performance Analysis of Modified Pv System Configuration Using Grey Wolf Optimization Algorithm

Year: 2025

Type: article

Abstract: The power-voltage characteristic curves of a PV array are nonlinear and have multiple peaks under mismatch conditions. This project proposes a novel maximum power point tracking (MPPT) method for a PV system with reduced steady-state oscillation based on a Grey Wolf Optimizer (GWO) algorithm. An adaptive speed factor is also introduced into the improved GWO to further enhance its convergence speed. Test results show that the proposed method converges in less than half the time taken by the conventional GWO method and the power is improved by under the worst mismatch conditions, which confirms the superiority of the proposed method over the standard GWO algorithm in terms of tracking speed and steady-state oscillations under different mismatch conditions

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14890683

Author: M.Priyadarshini , G.Gopika

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6968092057

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