Swati Sharma | Microgrids | Best Researcher Award

Ms. Swati Sharma | Microgrids | Best Researcher Award

Research Scholar at Jamia Millia Islamia New Delhi, India

Ms. Swati Sharma is a dedicated researcher and academic with over eight years of experience in teaching, research, and industry. She is currently pursuing her Ph.D. in Smart Grids (Electrical Engineering) at Jamia Millia Islamia, New Delhi, with her thesis submission expected in November 2024. Ms. Sharma holds an M.Tech. in Control and Instrumentation Engineering from Delhi Technological University and a B.Tech. in Electrical and Electronics Engineering from Maharshi Dayanand University, Rohtak. Throughout her career, she has gained significant experience, working as a Research Assistant, Assistant Professor, and Guest Faculty. Her research interests include smart grids, renewable energy integration, and power systems optimization, and she has received several accolades, including the Best Research Paper award at Jamia Millia Islamia in 2023. Ms. Sharma has also contributed to various research projects, supervised M.Tech and B.Tech thesis work, and published in international journals and conferences. She is an active member of professional organizations like IEEE and IETE, demonstrating her commitment to advancing knowledge in her field.

Education:

Ms. Swati Sharma is currently pursuing her Ph.D. in Smart Grids (Electrical Engineering) at Jamia Millia Islamia, Central University, New Delhi, with her thesis submission expected by November 2024. She holds an M.Tech. in Control and Instrumentation Engineering from Delhi Technological University, New Delhi, where she graduated in 2018 with a CGPA of 7.68. Prior to this, she completed her B.Tech. in Electrical and Electronics Engineering from Maharshi Dayanand University, Rohtak, Haryana, in 2016, securing 81.90%. Ms. Sharma’s early education includes her XII Class from Blue Bells Model School, Gurugram, Haryana, with 76.80% in 2012, and X Class from Air Force School, Gurugram, where she scored an 8.6 CGPA in 2010.

Professional Experience:

Ms. Swati Sharma has amassed over eight years of professional experience across academia, research, and industry. Currently, she serves as a Research Assistant in the Department of Electrical Engineering at Jamia Millia Islamia, New Delhi, a role she has held since October 2021. Prior to this, she worked as an Assistant Professor in the Department of Electrical and Electronics Engineering at Dronacharya College of Engineering, Farrukhnagar, from July 2018 to December 2019. During her M.Tech studies, Ms. Sharma gained teaching experience as a Guest Faculty at Delhi Technological University from December 2016 to June 2018. Additionally, she worked as a Graduate Engineer Trainee in the Research and Development and Administration Department at Sunbeam Auto Pvt. Ltd., Gurugram, from January 2016 to June 2016. Her diverse roles across teaching, research, and industry have contributed to her expertise in smart grids, renewable energy, and power systems.

Research Interests:

Ms. Swati Sharma’s research interests are centered around smart grids, renewable energy systems, and control and instrumentation engineering. Her work focuses on optimizing electric vehicle charging and discharging with sporadic renewable energy sources, as well as exploring demand response mechanisms in user-centric markets integrated with electric vehicles. She has also contributed to research on photovoltaic systems, particularly in grid-tied solar power plants and maximum power point tracking algorithms for efficient energy management. Ms. Sharma is passionate about exploring advanced control techniques, such as adaptive control using algorithms like the Jaya Algorithm, and their applications in real-time digital simulations for sustainable energy solutions.

Skills:

Ms. Swati Sharma possesses a diverse set of technical and personal skills that enhance her research and professional capabilities. Her technical skills include proficiency in MATLAB simulation and programming, basic knowledge of AutoCAD for electrical designing, and expertise in deep learning (DL)-based programming. She is also skilled in C programming, Python, Microsoft Office, RSCAD software-based simulation, and has a foundational understanding of LABVIEW simulation. On a personal level, Ms. Sharma has strong leadership qualities, adaptability to changing work environments, and the ability to manage multiple tasks efficiently under pressure. These skills have been integral to her successful contributions in teaching, research, and industrial projects.

Conclusion:

Ms. Swati Sharma’s comprehensive academic, research, and professional profile, combined with her technical expertise and numerous accolades, makes her a suitable candidate for the Research for Best Researcher Award. Her work in smart grids, renewable energy, and electric vehicle technologies positions her at the forefront of cutting-edge research in electrical engineering.

Publication Top Noted:

Demand Response Mechanism in User-Centric Markets Integrated with Electric Vehicles

Optimized Electric vehicle Charging and discharging with sporadic Renewable energy source

  • Authors: S. Sharma, I. Ali
  • Conference: 2023 International Conference on Power, Instrumentation, Energy and Control
  • Year: 2023
  • Cited by: 3
  • DOI: 10.1109/PIECO58666.2023.10084151

Design and Implementation of Energy Efficiency Augmentation Using Renewable Energy Source for Small-Scaled Residential Micro-grid

  • Authors: I. Ali, S. Sharma
  • Book Chapter: Advances in Energy Technology: Select Proceedings of EMSME 2020
  • Year: 2022
  • Cited by: 1
  • Pages: 693-702
  • DOI: 10.1007/978-981-16-0058-9_69

Dynamic pricing strategy for efficient electric vehicle charging and discharging in microgrids using multi-objective jaya algorithm

  • Authors: S. Sharma, I. Ali
  • Journal: Engineering Research Express
  • Year: 2024
  • Volume: 6, Issue 3, Article 035315
  • DOI: 10.1088/2631-8695/ac9bf7

Efficient Energy Management and Cost Optimization Using Grey Wolf Optimization for EV Charging and Discharging in Microgrid

  • Authors: S. Sharma, I. Ali
  • Platform: SSRN preprint
  • Year: N/A
  • DOI: SSRN:4684289