Open Access

ARTICLE

Intelligent Fuzzy Based High Gain Non-Isolated Converter for DC Micro-Grids

M. Bharathidasan¹, V. Indragandhi¹, Ramya Kuppusamy², Yuvaraja Teekaraman³, Shabana Urooj^4,*, Norah Alwadi⁵

1 School of Electrical Engineering, Vellore Institute of Technology, Vellore, India
2 Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore, India
3 Mobility, Logistics, and Automotive Technology Research Centre, Faculty of Engineering, ETEC, Department of Electrical Engineering and Energy Technology, Vrije Universiteit Brussel, Brussel, 1050, Belgium
4 Department of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia
5 Department of Physics, College of Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia

* Corresponding Author: Shabana Urooj. Email:

Computers, Materials & Continua 2022, 71(2), 4069-4084. https://doi.org/10.32604/cmc.2022.021846

Received 16 July 2021; Accepted 06 September 2021; Issue published 07 December 2021

Abstract

Renewable electricity options, such as fuel cells, solar photovoltaic, and batteries, are being integrated, which has made DC micro-grids famous. For DC micro-grid systems, a multi input interleaved non-isolated dc-dc converter is suggested by the use of coupled inductor techniques. Since it compensates for mismatches in photovoltaic devices and allows for separate and continuous power flow from these sources. The proposed converter has the benefits of high gain, a low ripple in the output voltage, minimal stress voltage across the power semiconductor devices, a low ripple in inductor current, high power density, and high efficiency. Soft-switching techniques are used to realize that the reverse recovery issue of the diodes is moderated, the leakage energy is reused, and no new scheme is appropriated. To reduce conduction losses, minimum voltage rating MOSFETs with a low ON-resistance can be utilized. The converter can supply the required power from the load in the absence of one or two resources. Furthermore, due to the high gain of boosting voltage, the converter works in an Adaptive Neuro-Fuzzy Inference System (ANFIS). The operation principle, steady-state analysis of the proposed converter, is given and simulated utilizing MATLAB/Simulink simulation software.

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Keywords

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