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VOL. 7, ISSUE 2 (2023)
Matlab-Based Srm Drive Controlling for Evs and Microgrid Integration
Authors
Ashwini Ambarish Deshpande, Dr Vijayalaxmi Biradar, Dr Manoj Ramesh Tarambale
Abstract
The fault tolerance, high torque density, and
robustness of a MATLAB-based control method for Switched Reluctance Motor (SRM)
drives are starting to make a big splash in the electric vehicle (EV) and
microgrid integration industries. This work introduces a thorough
MATLAB/Simulink model for optimizing the control and analysis of SRM drives in
EV applications, with the goal of improving performance, efficiency, and energy
management; it also enables bidirectional power flow for microgrid support. To
regulate the system so it runs smoothly under different loads and speeds, the
suggested system uses smart controllers like fuzzy logic or model predictive
control in conjunction with current profiling, speed regulation, and torque
ripple reduction. Enhanced acceleration, efficient regenerative braking, and
battery health preservation are the primary goals of the concept in the context
of electric vehicle applications. Because of its dual role in microgrid
integration, the SRM drive may charge from renewable sources during off-peak
hours or feed stored energy back into the grid during peak demand. In spite of
dynamic grid circumstances, the system was able to achieve steady operation,
low torque ripple, and high efficiency, according to the simulation findings. By
making use of MATLAB's simulation features for optimization and design, this
study offers a cheap, efficient, and scalable solution for smart grid and
environmentally friendly transportation applications.
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Pages:39-43
How to cite this article:
Ashwini Ambarish Deshpande, Dr Vijayalaxmi Biradar, Dr Manoj Ramesh Tarambale "Matlab-Based Srm Drive Controlling for Evs and Microgrid Integration". International Journal of Advanced Engineering and Technology, Vol 7, Issue 2, 2023, Pages 39-43
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