Researcher | Bajaj Institute of Technology | India
Dr. Rahul Somalwar is a distinguished researcher specializing in Microgrid systems, Islanding detection, and advanced power electronics, widely recognized for his contributions to distributed generation and resilient smart-grid operations. His research focuses on developing robust methodologies for transformer fault diagnosis, enhancing microgrid stability, and designing intelligent active and passive islanding detection systems, while his emerging interests include renewable-energy optimization, harmonic-based detection frameworks, and frequency-estimation algorithms to strengthen next-generation smart-grid reliability. Over the course of his professional journey, he has served in key academic and research roles contributing to microgrid modeling, grid-connected system analysis, and performance evaluation of power-electronic converters. Dr. Somalwar has produced influential research, including seminal works such as “Incipient Fault Diagnosis of Transformer by DGA Using Fuzzy Logic”, pioneering advancements in interleaved DC–DC converter control techniques, and innovative studies on FACTS-based transient-stability enhancement, each of which has shaped contemporary practices in power-system engineering. His notable contributions also include developing advanced active islanding methods using recursive least squares, designing enhanced passive detection methods leveraging harmonic distortion analysis, and conducting comparative investigations of multi-DG microgrid performance to improve fault detection accuracy, voltage control, and real-time synchronization. His work extends to the integration of photovoltaic systems, dynamic voltage restoration, and power-quality enhancement through ripple-based techniques, driving meaningful technical improvements across utility-connected and stand-alone renewable systems. Dr. Somalwar’s body of research, comprising multiple high-impact publications, conference papers, and applied engineering studies, continues to influence ongoing developments in grid modernization, distributed-energy security, and sustainable power-generation systems. His impact vision centers on advancing safe, self-healing, and highly efficient microgrids by empowering renewable-energy networks with adaptive control strategies and intelligent fault-diagnosis mechanisms, thereby strengthening the resilience of electrical infrastructure for both industry and society. Through his continued work, he aims to bridge innovation with practical implementation, promoting global progress in smart-grid stability, energy security, and scalable clean-energy technologies.
Featured Publications
1. Apte, S., Somalwar, R., & Wajirabadkar, A. (2018). Incipient fault diagnosis of transformer by DGA using fuzzy logic. 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems.
2. Nikhar, A. R., Apte, S. M., & Somalwar, R. (2016). Review of various control techniques for DC-DC interleaved boost converters. International Conference on Global Trends in Signal Processing, Information Computing and Communication.
3. Somalwar, R., & Khemariya, M. (2012). A review of enhancement of transient stability by FACTS devices. International Journal of Emerging Technologies in Sciences and Engineering, 5.
4. Somalwar, R., Kadwane, S. G., & Mohanta, D. K. (2017). Harmonics-based enhanced passive islanding method for grid-connected system. Electric Power Components and Systems, 45(14), 1554–1563.
5. Somalwar, R. S., Kadwane, S. G., & Shaw, R. N. (2020). Frequency estimation by recursive least square in active islanding method for microgrid. 2020 IEEE International Conference on Computing, Power and Communication Technologies.
