Use of Voltage Stability Assessment and Transient Stability Assessment Tools in Grid Operations / Power Electronics and Power Systems (PDF)

Sarma (NDR) Nuthalapati, PhD, is a Principal Engineer for Dominion Energy in Richmond, VA. He is also an Adjunct Professor in the Department of Electrical and Computer Engineering at Texas A&M University in College Station. In the past, he was at Electric Reliability Council of Texas, Inc. (ERCOT) with the Advanced Network Applications Group of the Operations Support Department from August 2007 to March 2016. At ERCOT, he was involved in the area of energy management system (EMS) network applications and active in a synchrophasor project funded by the US Department of Energy (DOE) under the Smart Grid Initiatives Grants. Prior to joining Dominion in August 2020, he worked with PEAK Reliability, Washington, and Lower Colorado River Authority (LCRA), Texas, as Principal Engineer and Supervisor for Energy Management Systems, respectively. He is currently the co-chair of the IEEE Task Force on Synchrophasor Applications in Power System Operation and Control. He alsoactively participates in the North American SynchroPhasor Initiative (NASPI) Working Group meetings. Dr. Nuthalapati is the editor of the book Power System Grid Operation Using Synchrophasor Technology (Springer, 2019). A senior member of the IEEE, he is also a member of the IEEE Power and Energy Society (PES), and a distinguished lecturer in the IEEE PES Distinguished Lecturer Program. He earned his BTech (Electrical Engineering) and MTech (Power Systems Engineering) degrees from National Institute of Technology Warangal, India in 1983 and 1986 respectively, and obtained his PhD from the Indian Institute of Technology (IIT) Delhi in 1995. His research was focused on Network Reconfiguration in Distribution Systems under the supervision of the late Dr. K.S. Prakasa Rao. This work involved developing new algorithms for various aspects of network reconfiguration such as reconfiguration for service restoration, load balancing, and loss minimization in distribution systems. These methods are relevant in the