Open To Work
Niranjan Raghunathan
West Hartford
Summary
Results-driven PhD in electrical engineering specializing in optimization and power systems. Developed methodologies and algorithms for large-scale optimization challenges, including sub-hourly and stochastic unit commitment, psystem planning planning including storage and frequency dynamics, and transmission-distribution coordination. Research strengths lie in mathematical optimization, power systems, power markets, and control systems. Ready to leverage expertise to advance organizational goals.
Overview
11
11
years of professional experience
Work History
Graduate Research Assistant
Sustainable Power and Energy Lab
Storrs
01.2023 - 08.2025
- Collaborated with ISO-NE to develop a novel transmission-distribution coordination scheme and a MATLAB-based testbed using MATPOWER’s AC-OPF architecture for evaluating feasibility across multiple scenarios
- Drafted manuscript for publication in Scientific Reports, Nature, detailing research findings (currently in review stage)
- Presented findings at 2024 IEEE PES General Meeting and FERC software conference 2023 on a novel reduced-order, area-based decomposition and coordination algorithm for Markov-based stochastic unit commitment problem
Graduate Research Assistant
Manufacturing Systems Lab
Storrs
09.2018 - 12.2022
- Developed novel reduced-order, area-based decomposition and coordination algorithm for Markov-based stochastic unit commitment problem in collaboration with Brookhaven National Laboratories, utilizing MATLAB and CPLEX
- Developed sequential and parallel algorithms leveraging soft constraints within Surrogate Lagrangian Relaxation for large-scale and sub-hourly unit commitment problems in collaboration with Hitachi Energy, utilizing MATLAB and CPLEX
- Presented the above work at the 2019 FERC software conference
- Remotely assisted in teaching electrical engineering courses by providing support to students in lectures and labs during COVID
Graduate Research Assistant
CyberLab
Storrs
09.2014 - 07.2018
- Developed a dynamic programming based algorithm for a statistically consistent extended Kalman filter for tracking the state of charge for Li-ion batteries with non-linear, time-varying models
- Designed a dynamic programming-based algorithm for piece-wise linear approximation of a non-linear SOC-OCV curve of Li-ion batteries for SOC tracking using an extended Kalman filter
- Collaborated with Fairchild Semiconductors to conduct hardware-in-the-loop testing of optimal charging algorithms for Li-ion batteries, enhancing algorithm validation process.
- Assisted in teaching electrical engineering courses by providing support to students during lectures and labs.
Education
PhD - Electrical Engineering
University of Connecticut
Storrs, CT08.2025
B.S. - Electrical Engineering, Physics
University of Connecticut
Storrs, CT05.2014
B.A. - Anthropology
University of Connecticut
Storrs, CT05.2009
Skills
- Mathematical Optimization
- Linear and Non-linear Programming
- Dynamic Programming
- Power Systems
- Control Systems
- Estimation theory
- MATLAB
- Python
- CPLEX
- MATPOWER
- LabVIEW
- Algorithm development
- Research and analysis
- Journal publication
- Problem solving
- Team collaboration
- Presentation skills
Publications
- Decentralized Optimization for Effective Coordination of Transmission and Distribution Systems with Dynamic DER Aggregation, Niranjan Raghunathan, Zongjie Wang, Bing Yan, Scientific Reports, In review stage, 2025
- Reduced-order Decomposition and Coordination Approach for Markov-based Stochastic Unit Commitment with Distributed Wind Farms, Niranjan Raghunathan, Zongjie Wang, Mikhail A. Bragin, Bing Yan, Peter B. Luh, Tianqiao Zhao, Meng Yue, IEEE Access, 13, 65403-65419, 2025
- Reduced-order Decomposition and Coordination Approach for Markov-based Stochastic Unit Commitment with Distributed Wind Farms and BESS, Niranjan Raghunathan, Zongjie Wang, Bing Yan, IEEE Power and Energy Society General Meeting, Accepted for Best Paper Session, 2024
- A scalable planning framework of energy storage systems under frequency dynamics constraints, Tianqiao Zhao, Niranjan Raghunathan, Amirthagunaraj Yogarathnam, Meng Yue, Peter B. Luh, International Journal of Electrical Power & Energy Systems, 145, 108693, 2023
- Exploiting soft constraints within decomposition and coordination methods for sub-hourly unit commitment, Niranjan Raghunathan, Mikhail A Bragin, Bing Yan, Peter B Luh, Khosrow Moslehi, Xiaoming Feng, Yaowen Yu, Chien-Ning Yu, Chia-Chun Tsai, International Journal of Electrical Power & Energy Systems, 139, 108023, 2022
- Optimal charging for general equivalent electrical battery model, and battery life management, A. Abdollahi, X. Han, N. Raghunathan, B. Pattipati, B. Balasingam, K.R. Pattipati, Y. Bar-Shalom, B. Card, Journal of Energy Storage, 9, 47-58, 2017
- Optimal battery charging, Part I: Minimizing time-to-charge, energy loss, and temperature rise for OCV-resistance battery model, A. Abdollahi, X. Han, G.V. Avvari, N. Raghunathan, B. Balasingam, K.R. Pattipati, Y. Bar-Shalom, Journal of Power Sources, 303, 388-398, 2016
Work Preference
Job Search Status
Open to workWork Type
Full TimeLocation Preference
RemoteHybridOn-SiteSalary Range
$130000/yr - $200000/yrTimeline
Graduate Research Assistant
Sustainable Power and Energy Lab
01.2023 - 08.2025
Graduate Research Assistant
Manufacturing Systems Lab
09.2018 - 12.2022
Graduate Research Assistant
CyberLab
09.2014 - 07.2018
PhD - Electrical Engineering
University of Connecticut
B.S. - Electrical Engineering, Physics
University of Connecticut
B.A. - Anthropology
University of Connecticut