SM Dubey
Also known as: Salil M Dubey, Salil Madhav Dubey, Dubey, Salil Madhav
Larsen & Toubro (India), Indian Institute of Technology Bombay, Sardar Vallabhbhai National Institute of Technology
About
Salil Madhav Dubey obtained his B. Tech in Electrical Engineering from Sardar Vallabhbhai National Institute of Technology, Surat (SVNIT, Surat). He completed his Masters's degree in Industrial Systems & Drives (ISD) specialization from the Electrical Engineering Department, Madhav Institute of Technology and Science, Gwalior (MITS Gwalior) in 2020. Currently, he is pursuing a Ph.D. from the Department of Energy Science and Engineering, IIT Bombay. His research areas include microgrid operation,
the study of NI algorithms, its applications in power systems, microgrid control, and
integration of renewables.
Employment
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Larsen & Toubro (India) Senior Engineer2015 - 2016
Education
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Indian Institute of Technology Bombay PhD2020 - Present
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Sardar Vallabhbhai National Institute of Technology Bachelor of technology2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Non-linear virtual impedance shaping strategy for predominantly resistive islanded power networks Save
- Non-Linear Virtual Impedance Shaping Strategy for Predominantly Resistive Islanded Power Networks Save
- Variable Structure Control of a Virtual Synchronous Generator for LVRT in presence of Local Load Save
- A Non-linear Adaptive Virtual Impedance (NLAVI) based Approach for Sharing Asymmetrical Currents Save
- Modified Quasi-Opposition-Based Grey Wolf Optimization for Mathematical and Electrical Benchmark Problems Save
- Optimal Generation Scheduling of Hybrid Systems using Manta Ray Foraging Optimizer Save
- Multiobjective Scheduling of Hybrid Renewable Energy System Using Equilibrium Optimization Save
- Incentive-based demand response in grid-connected microgrid using quasi-opposed grey wolf optimizer Save
- Combined Economic Emission Dispatch of Hybrid Thermal PV System Using Artificial Bee Colony Optimization Save
- Dynamic Scheduling of Energy Resources in Microgrid Using Grey Wolf Optimization Save