S. Nuthalapati - Power System Grid Operation Using Synchrophasor Technology

Power System Grid Operation Using Synchrophasor Technology (Power Electronics and Power Systems) 1st ed. 2019 Edition
by Sarma (NDR) Nuthalapati

Product details
Publisher ‏ : ‎ Springer; 1st ed. 2019 edition (June 11, 2018)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 520 pages
ISBN-13 ‏ : ‎ 978-3319893778





This book brings together successful stories of deployment of synchrophasor technology in managing the power grid. The authors discuss experiences with large scale deployment of Phasor Measurement Units (PMUs) in power systems across the world, enabling readers to take this technology into control center operations and develop good operational procedures to manage the grid better, with wide area visualization tools using PMU data.

· Provides a single-source reference to the practical applications of Synchrophasor technology in operating the power grid;
· Includes real case studies from utilities that have deployed the technology;
· Offers an international perspective on the use of data obtained from phasor measurement units, in order to manage power grids.

Table of contents
Importance of Synchrophasor Technology in Managing the Grid
Jeff Dagle Pages 1-11
Impact of Phasor Measurement Data Quality in Grid Operations
Kenneth Martin, Kevin Chen Pages 13-40
Testing and Validation of Synchrophasor Devices and Applications
P. Banerjee, S. Pandey, A. K. Srivastava, D. Lee Pages 41-75
Synchrophasor Technology at BPA
Dmitry Kosterev Pages 77-127
Use of Synchrophasor Measurement Technology in China
Shi Bonian Pages 129-167
Identification of Signature Oscillatory Modes in ERCOT by Mining of Synchrophasor Data
Prashant C. Palayam, Sidharth Rajagopalan, Bill Blevins, Sarma Nuthalapati Pages 169-185
Oscillation Detection in Real-Time Operations at ERCOT
Sidharth Rajagopalan, Patrick Gravois, Bill Blevins, Wei Liu, Sarma Nuthalapati Pages 187-194
Oscillation Detection and Mitigation Using Synchrophasor Technology in the Indian Power Grid
P. K. Agarwal, Chandan Kumar Pages 195-216
Experiences of Oscillation Detection and Mitigation in Grid Operations at PEAK Reliability
Hongming Zhang Pages 217-256
Online Oscillations Management at ISO New England
Slava Maslennikov, Eugene Litvinov Pages 257-283
Operational Use of Synchrophasor Technology for Power System Oscillations Monitoring at California ISO
Jim Hiebert, Aftab Alam, Veera Raju Vinnakota, Dede Subakti Pages 285-296
Operational Use of Synchrophasor Technology for Wide-Area Power System Phase Angle Monitoring at California ISO
Jim Hiebert, Dede Subakti, Veera Raju Vinnakota, Aftab Alam Pages 297-305
Synchrophasor-Based Linear State Estimation Techniques and Applications
Kevin D. Jones, Alireza Rouhani Pages 307-333
Implementation of Synchrophasor-Based Linear State Estimator for Real-Time Operations
Lin Zhang, Heng Chen, Anthony Faris, Megan Vutsinas, Tim Bradberry, Evan Phillips et al. Pages 335-362
Post-event Analysis in the ERCOT System Using Synchrophasor Data
Sidharth Rajagopalan, Patrick Gravois, Bill Blevins, Sarma Nuthalapati Pages 363-383
Validation and Tuning of Remedial Action Schemes in Indian Grid Operations Using Synchrophasor Technology
P. K. Agarwal, Chandan Kumar Pages 385-401
Indian Power System Operation Utilizing Multiple HVDCs and WAMS
Rahul Shukla, Rahul Chakrabarti, S. R. Narasimhan, S. K. Soonee Pages 403-432
Model Validation Using Synchrophasor Technology
Brian Thomas, Slaven Kincic Pages 433-447
A Software Suite for Power System Stability Monitoring Based on Synchrophasor Measurements
Jian Ma, “Mani” Vaithianathan Venkatasubramanian, Scott Feuerborn, Clifton Black, Mark Halpin, Shih-Min Hsu Pages 449-476

About the Author
Sarma Nuthalapati is currently working as Principal EMS Network Applications Engineer for Peak Reliability (Peak) in Vancouver, WA, USA. Peak’s Reliability Coordinator Area includes all or parts of 14 western states, British Columbia, and the northern portion of Baja California, Mexico. Sarma supports Energy Management Systems (EMS) network applications such as State Estimation, Real-time Contingency Analysis, Remedial Action Schemes, Forced Outage Detection, and others that are critical to providing wide area situational awareness in control center operations. He is also an Adjunct Professor in the Department of Electrical Engineering at Texas A&M University, College Station, TX, USA. He has been with Electric Reliability Council of Texas, Inc. (ERCOT), USA, in the Advanced Network Applications Group of the Operations Support Department from August 2007 to March 2016 and was involved in the area of network applications and involved in a Synchrophasor Project funded by the US Department of Energy (DOE) under the Smart Grid Initiatives Grants. He is currently the Chair of the IEEE Task Force on Real Time Contingency Analysis. He also actively participates in the North American SynchroPhasor Initiative (NASPI) Working Group meetings and was given NASPI Control Room Solutions Task Team Most Valuable Player (MVP) Award for ‘being a leading organizer and contributor to the Control Room Solutions Task Team (CRSTT) and the NERC Synchronized Measurement Subcommittee and a public champion for Synchrophasor Technology’. He is a senior member of IEEE and a member of IEEE Power and Energy Society (PES). He is also a distinguished lecturer in the IEEE PES Distinguished Lecturer Program. He received BTech (Electrical Engineering) and MTech (Power Systems Engineering) degrees from National Institute of Technology, Warangal, (formerly called as Regional Engineering College, Warangal), India, in 1983 and 1986 respectively. He obtained his PhD degree from Indian Institute of Technology, Delhi, India, in 1995. He carried out his PhD work in the area of `Network Reconfiguration in Distribution Systems` under the supervision of the late Dr. K.S. Prakasa Rao. The research 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 very useful in the context of Smart Grids and Distribution Automation.