Technical Skills

• Software: MATLAB Simulink, Python, MS Office, Latex, RT-Lab

• Hardware: dSPACE1104, MicroLab Box, Opal-RT (RTDS), HIL Systems

• Prototyping: Development of experimental setups for renewable energy integration and microgrid systems

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RESEARCH PROJECT WORKS:

Postdoc and LEO Lecturer (March 2023- till date): I engage in multifaceted research activities encompassing government and industry projects. My responsibilities include conducting research, presenting weekly updates, and generating quarterly reports. I actively contribute to the academic community by writing research papers and crafting project proposals for collaboration with industry and government partners. Additionally, I support final-year student projects, participate in competitions, and undertake assigned teaching responsibilities. My dynamic role involves hands-on research, project management, and educational engagement like taking Lectures.

Research Associate (Jan’2022-Fab’2023): As a Research Associate, my focus revolves around research initiatives, with a significant emphasis on developing a DC Microgrid experimental prototype within an RTDS/Microgrid lab. I am actively involved in conducting research, delivering two weekly presentations, and generating half and yearly reports. A crucial aspect of my role is the authoring of research papers and contributing to the academic discourse. I also play a pivotal role in project proposal writing and purchasing research and development equipment and components. Additionally, I support master's student projects and fulfill assigned research duties, creating a comprehensive and impactful research-oriented environment.

PhD (July'2015 – 2022): Enhancement of Wind Energy Penetration Levels In Rural Grid By Power Quality Mitigation Using DSTATCOM Controlled by Adaptive Algorithms: Wind Energy (WE) penetration levels in rural grids are limited due to the Power Quality (PQ) issues, wind speed inconsistency and low short circuit ratios. This is further aggravated due to the increase in non-linear loads. This work proposes a methodology to enhance WE penetration levels by mitigating PQ issues using a distribution static compensator (DSTATCOM) controlled by the Adaptive control algorithms. The proposed adaptive controls estimate load currents' active and reactive weight components by adapting the changes in wind generation, DC-link, and grid voltage. These weights are used to generate reference current signals to switch the DSTATCOM to mitigate PQ disturbances. The proposed method has been implemented to enhance WE penetration in the rural grid under the non-linear load. The results obtained by simulation in MATLAB studies have been validated using experimental studies. These studies established the effectiveness of the proposed method for enhancing WE penetration levels in rural grids by up to 30%.

MTech (July 11-June'13): Battery Energy Storage System for Power Conditioning of Distributed Energy System: Design and development of indirect current theory controlled DSTATCOM-BESS configuration for power conditioning in a distribution system considering balanced and unbalanced linear, nonlinear, and induction motor loads. The proposed approach has solved the challenges associated with the loading conditions of the distribution network.

BTech (Jun' 05-July '08): Isolated Hybrid System of Wind & Hydro Power Plant: The laboratory-based working model has been developed for the understating of the concept of hybrid electrical power.