Ms. Sharmistha Nandi | Power system | Research Excellence Award

Research Scholar | KIIT Deemed to be University | India

Ms. Sharmistha Nandi is a dedicated research scholar in electrical engineering whose work focuses on developing intelligent, sustainable, and resilient energy solutions for modern power systems. Her research spans the coordinated planning, optimization, and operation of renewable-integrated distribution networks, with special emphasis on incorporating photovoltaic systems, green hydrogen storage, battery systems, and electric vehicle charging infrastructure. She specializes in modelling complex networks and optimizing techno-economic performance using advanced computational tools, artificial intelligence, and soft computing techniques. Her studies contribute to improved grid stability, enhanced reliability, and efficient integration of distributed energy resources through multi-scenario frameworks, strategic deployment methods, and non-iterative analytical techniques. Her work includes reliability-based planning of EV-supported networks, optimal siting and sizing of ultra-fast charging stations, and designing intelligent operational frameworks for hydrogen-battery-powered EV charging ecosystems. She has experience in developing forecasting models, time-series analysis, and machine-learning-based decision strategies for real-world power system problems. She is proficient in simulation environments, mathematical modelling, optimization algorithms, and geospatial analysis for energy system planning. Her publications in recognized international journals highlight her contributions to sustainable energy transitions, while her involvement in conferences, workshops, and professional engagements reflects strong academic commitment and collaborative capability. She also serves as a reviewer for multiple international journals, demonstrating her expertise and active role in the scientific community. Her work collectively aims at addressing emerging challenges in smart grids, renewable penetration, EV integration, and decentralized energy systems through innovative, data-driven, and system-oriented solutions.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Nandi, S.; Ghatak, S. R.; Sannigrahi, S.; Acharjee, P. (2024). Coordinated planning and operation of PV-hydrogen integrated distribution network incorporating daily-seasonal green hydrogen storage and EV charging station. International Journal of Hydrogen Energy, 90, 134–158. https://doi.org/10.1016/j.ijhydene.2024.09.402 (Citation: 14)

Nandi, S., Ghatak, S. R., Acharjee, P., & Lopes, F. (2023). Non-Iterative, Unique, and Logical Formula-Based Technique to Determine Maximum Load Multiplier and Practical Load Multiplier for Both Transmission and Distribution Systems. Energies, 16(12), 4724. https://doi.org/10.3390/en16124724  (Citation: 6)

Tripathy, S., Nandi, S., Ghatak, S. R., Acharjee, P., & Sinha, P. (2023). Optimized planning framework of solar photovoltaic based generation with EV charging station in a rural distribution network considering uncertainties. Applied Chemical Engineering, 6(3). https://doi.org/10.24294/ace.v6i3.2564 (Citation: 2)

Nandi, S., Ghatak, S. R., Acharjee, P., & Lopes, F. (2024). Multi-Scenario-Based Strategic Deployment of Electric Vehicle Ultra-Fast Charging Stations in a Radial Distribution Network. Energies, 17(17), 4204. https://doi.org/10.3390/en17174204 (Citation:3)