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    • Using Hybrid Firebug Swarm Optimization and Jellyfish Search to Enhance DC-DC Converter Efficiency in Solar PV Systems

    R. Anand,S. Daison Stallon, S. Rajasekaran, R. Kannan

    Environment, Development and Sustainability（2024）

    Nehru Institute of Engineering and Technology

    Cited 0|Views0
    Abstract
    The integration of solar photovoltaic (PV) systems into power grids requires efficient energy conversion and grid stabilization. The optimization of voltage conversion and the reduction of energy loss are crucial functions of high-gain direct current to direct current (DC-DC) converters. This paper introduces the Improved Firebug Swarm Optimization (IFSO) method, an innovative hybrid optimization approach designed to improve high-gain DC-DC converters' dynamic response in solar PV applications. The IFSO method combines Jellyfish Search (JS) with Firebug Swarm Optimization (FSO) and was evaluated through MATLAB simulations. The proposed approach achieved a maximum photovoltaic power output of 444 W, surpassing the traditional methods’ output of 400 W, and significantly reduced computational time to just 10 s compared to 25 s with existing techniques. These improvements highlight the IFSO method's enhanced efficiency and responsiveness, which facilitate better energy utilization and support the effective integration of solar PV systems into power grids. The findings underscore the method's potential for commercial applications and its contribution to advancing environmental sustainability.
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    Key words
    Optimization,Solar photovoltaic,Converter efficiency,High gain DC-DC converter,Point of common coupling,Voltage source inverter,PV voltage
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