This article proposes an improved multiverse optimization (IMVO) assisted maximum power point tacking (MPPT) algorithm for attaining maximum global power from photovoltaic system under partial shading condition. The proposed control scheme overcomes the difficulties occurring in traditional MPPT algorithms such as difficulty in attaining global maximum power under partial shading condition and incapability of handling oscillations in power at maximum power point. The algorithm is an amalgamation of IMVO and direct duty cycle control approach. The wormhole existence probability and time distance ratio are considered to be adaptive in improved MVO so as to ensure precise exploration and exploitation. In this work multi crystal solar panel, KC130GT by M/S Kyocera, is analyzed for dynamic profiles of irradiance. Traditional P&O MPPT and improved particle swarm optimization MPPT (IPSO MPPT) are also designed for comparative analysis. The suggested IMVO MPPT proves to be superior in terms of power tracking performance, average efficiency and convergence capability as compared to other designed controllers.
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