Malini Ghosal
Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 375-6612
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Biography
Malini Ghosal came to the PNNL in 2018 and joined Electricity Infrastructure group in 2018. Prior to joining Electricity Infrastructure, she worked in the Texas Tech University as a PhD student. Her research interests include power systems dynamic state estimation, balancing reserve calculation under uncertainty, system theoretic approaches for anomaly detection and grid impacts study for transportation electrification.
For the past one year she has been supporting hardware in the loop implementation of the coordinative real-time sub transmission volt-var control, developing and adapting reserve calculation and day ahead ramping calculation tool for the Central America, analyzing impact of electrification of transportation on the electric grid, and machine learning application for composite load modeling, etc.
Research Interests
- Power systems data analytics and decision making under uncertainty
- Systems theoretic approaches for anomaly detection in the power systems
- Dynamic state estimation
- Transportation electrification and its impacts on grid
Education and Credentials
- PhD in Electrical Engineering, Texas Tech University, 2017
- MS in Electrical Engineering, Texas Tech University, 2015
- Bachelor of Technology in Electrical Engineering, West Bengal University of Technology, India, 2010
Affiliations and Professional Service
- IEEE
- IEEE Power & Energy Society (PES)
PNNL Publications
2020
- Etingov P.V., J.D. Follum, U. Agrawal, H. Wang, F.K. Tuffner, L. Newburn, and R. Huang, et al. 2020. Open Source Suite for Advanced Synchrophasor Analysis. PNNL-30492. Richland, WA: Pacific Northwest National Laboratory. Open Source Suite for Advanced Synchrophasor Analysis
- Liu Y., P.V. Etingov, S. Kundu, Z. Hou, Q. Huang, H. Zhou, and M. Ghosal, et al. 2020. Open-Source High-Fidelity Aggregate Composite Load Models of Emerging Load Behaviors for Large-Sale Analysis. PNNL-29592. Richland, WA: Pacific Northwest National Laboratory. Open-Source High-Fidelity Aggregate Composite Load Models of Emerging Load Behaviors for Large-Sale Analysis
2018
- Elizondo M.A., R. Fan, H. Kirkham, M. Ghosal, F. Wilches-Bernal, D. Schoenwald, and J. Lian. 2018. "Interarea Oscillation Damping Control Using High-Voltage DC Transmission: A Survey." IEEE Transactions on Power Systems 33, no. 6:6915-6923. PNNL-SA-130052. doi:10.1109/TPWRS.2018.2832227