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VOL. 10, ISSUE 1 (2024)
Microgrid integration and control of SRM drive for EVS using Matlab
Authors
Ashwini Ambarish Deshpande, Dr Vijayalaxmi Biradar, Dr Manoj Ramesh Tarambale
Abstract
One potential option to create energy systems
that are sustainable, efficient, and dependable is to combine microgrids with
electric vehicle (EV) technology. With MATLAB/Simulink as the modeling and
simulation platform, this study delves into the integration and control of a
microgrid with a Switched Reluctance Motor (SRM) drive for electric vehicle
applications. While SRM drives are ideal for electric vehicle propulsion
because to their fault tolerance, high torque density, and resilience, they
still necessitate sophisticated control systems to mitigate noise and torque
ripple. To provide bidirectional power flow for both charging and
vehicle-to-grid (V2G) operations, the proposed system design integrates EV SRM
drives with a hybrid microgrid that includes renewable energy sources, energy
storage systems, and grid interfaces. Load variations, renewable intermittency,
and dynamic drive cycles are just a few of the operational situations that may
be thoroughly studied with the use of MATLAB-based models. Power management
algorithms make the most of the microgrid's resources, and an improved current
profile and speed regulation system improve efficiency and reduce torque
ripple. The findings of the simulation show that the energy efficiency,
charging times, driving performance, and grid support capabilities can all be
improved. Through smart SRM drive control in microgrids, this study helps to
advance smart mobility solutions, promote renewable integration, and enable
transportation systems that are robust and low carbon.
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Pages:69-75
How to cite this article:
Ashwini Ambarish Deshpande, Dr Vijayalaxmi Biradar, Dr Manoj Ramesh Tarambale "Microgrid integration and control of SRM drive for EVS using Matlab". International Journal of Research in Advanced Engineering and Technology, Vol 10, Issue 1, 2024, Pages 69-75
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