Title: Protection of Synchronous Generators and Induction Machines
Dr. Sakis Meliopoulos, ECE, Chair , Advisor
Dr. Maryam Saeedifard, ECE
Dr. Thomas Habetler, ECE
Dr. Santiago Grijalva, ECE
Dr. Shijie Deng, ISyE
The objective of this research is to develop a novel protective function, which is named EBP (dynamic state Estimation Based Protection) that can protect the synchronous generators and induction machines securely and dependably when they have internal faults. Specifically, the EBP function monitors the consistency between the machine measurements and the machine dynamic model via dynamic state estimation. Any mismatch between the measurements and the model indicates machine internal abnormalities and the EBP function would trip the machine when the internal fault occurs. Compared to legacy machine protective functions, the proposed EBP requires very few settings and no coordination with other relays, which greatly reduces the possibility of relay mis-operations caused by the wrong setting and coordination complexity. In addition, the proposed dynamic state estimation based protection scheme is implemented in an object-oriented way so that it can be easily applied to all kinds of machines. Furthermore, a machine parameter estimation algorithm is proposed which utilizes the state estimation to estimate the machine actual parameters. The machine model with accurate parameters then can be used in machine protection and many other applications.