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Implementation of a New Hybrid Boost Converter for High Gain Enhancement of SOFC System

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Artificial Intelligence and Sustainable Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

In the view of increasing demand for electrical energy and rapid depletion of conventional sources, the need to depend on renewable energy sources is increasing. The awareness and the utilization of renewable energy systems are increasing in the present decade with the aid of development in power electronics-based systems to power systems for medium and high power applications. The biggest concern with the fluctuating natured renewable energy sources is: grid integration, maintaining the power quality of the system, cost issues, etc. In these days, integration of renewable energy sources and maximum utilization become the centre of attraction for the researchers across the globe. Most of the renewable energy sources provides a certain voltage and current limits. A converter plays a major role in conversion, extracting maximum power, control of power of renewable energy systems. In this work, a new hybrid boosting converter having the properties of voltage regulation and gain enhancement is modelled and implemented for the application of solid oxide fuel cell system using MATLAB/simulation. The obtained simulation results shown the effective operation of the hybrid boost converter.

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Correspondence to CH. Siva Kumar .

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Siva Kumar, C., Mallesham, G. (2022). Implementation of a New Hybrid Boost Converter for High Gain Enhancement of SOFC System. In: Pandit, M., Gaur, M.K., Rana, P.S., Tiwari, A. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1653-3_49

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