On June 11 2019, Dr. Yuzhang Lin from University of Massachusetts Lowell, invited by Dr. Yu Liu, gave a SIST seminar about his research on state and parameter estimation in smart grids. The title of the seminar is 'Reliable and Efficient Real-time Monitoring and Model Calibration for Smart Grids'. During the talk, Dr. Yuzhang Lin talked about three subtopics, including (a) power system modeling: a new framework for model parameter error identification & correction; (b) power system monitoring: unified robust state estimation approach & efficient bad data processing; and (c) cyber-physical security; identification of security vulnerabilities in power system models.
After the seminar, Dr. Lin visited PSPAL. Dr. Yu Liu introduced the ongoing research about power system fault diagnosis and power electronics system condition monitoring. The power system power hardware-in-the-loop simulation platform in the group is demonstrated with several events. Afterward, Dr. Lin and Dr. Liu discussed possible future collaborations.
Dr. Yuzhang Lin is currently an assistant professor in the Department of Electrical and Computer Engineering at the University of Massachusetts, Lowell, MA, USA. He received his bachelor and master’s degrees in electrical engineering from Tsinghua University, Beijing, China, and his PhD degree in electrical engineering from Northeastern University, Boston, MA, USA. His completed his PhD dissertation under the supervision of Prof. Ali Abur, a domain expert in power system state estimation. He is a recipient of the prestigious Outstanding Graduate Student Research Award at Northeastern University, Boston, MA, USA. His current research interests include modeling, monitoring, data analysis, and cyber-physical security of smart grids. He has published 26 scholarly articles indexed by SCI/EI in the domain of smart grids, including 7 first-authored articles in IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid. He is a reviewer for 10 international journals, a panelist for U.S. NSF Energy, Power, Control, and Networks (EPCN) program, and serves on several working groups and task forces in IEEE Power & Energy Society. The algorithms he developed for identification and correction of parameter and measurement errors has been applied and operated at ISO New England, and filed a US provisional patent.
The abstract of this talk is as follows.
The talk addresses several key problems for reliable and efficient modeling and monitoring of smart grids. For model calibration, a new framework for identification and correction of model parameter errors is presented. The Largest Normalized Lagrange Multiplier (LNLM) test is introduced, and approaches for enhancing the reliability and computational efficiency of model error identification are presented. Real-world case studies on the ISO New England system are demonstrated. For system monitoring, a unified robust state estimation approach against measurement and parameter errors is introduced. A fast and parallel implementation of bad data processing methods is also presented. Finally, the cyber-security issues in the modeling of smart grids are discussed. A security vulnerability regarding model databases which may affect the operation of electricity markets is identified, and possible countermeasures are discussed.