Imran
Quant Modeling Manager, JP Morgan and Chase
Ex- Assistant professor, Vardhaman College of Engineering, Hyderabad.
Quant Modeling Manager, JP Morgan and Chase
Ex- Assistant professor, Vardhaman College of Engineering, Hyderabad.
Profile :
Imran sharieff has completed his BE in electrical and electronics engineering from CRR College of Engineering, Eluru in 2008. He has obtained an all India GATE rank of 474 in EE stream. He completed his MTech in electrical power systems from NIT Jamshedpur, Jamshedpur in 2010. He has successfully completed his PhD pre-submission seminar and submitted his PhD thesis from IIT Ropar under the supervision of Dr Ranjana Sodhi. Imran sharieff has been awarded POSOCO Power System Award 2017 (PPSA 2017), for his research work carried out at IIT Ropar.
His research interests include synchrophasor applications in power systems, voltage stability, smart and micro grids.
Work Experience:
2010-2012: Lecturer in electrical engineering dept., Sri Aditya Engineering College, Surampalem.
2012-2016: Teaching Assistant for Basic electrical engineering lab (GEL 104), Electrical Machines lab (EEP 203) in IIT Ropar.
2017-Till date: Assistant professor in Department of Electrical engineering , Vardhaman College of Engineering, Hyderabad.
Research Work:
Present day electrical transmission systems undergo various stressed situations, owing to the increase in demand for electricity and constraints on transmission networks. Owing to the transmission and generation limits, it is a challenging task for Transmission System Operators (TSOs), to meet the demand for electricity, while maintaining system stable and reliable. Currently available Supervisory Control and Data Acquisition (SCADA) system effectively captures the system information. However, the slow scan rate of the SCADA measurements makes it unfit to track the power system dynamics in real-time. The synchrophasor measurements, on the contrary, can be calculated by the Phasor Measurement Units (PMUs) as fast as one phasor measurement per cycle of the system frequency. As a result of their high refresh rate, the synchrophasor based Wide Area Monitoring System (WAMS) is well suited to track the power system dynamics, and provides a great opportunity to enhance Situational Awareness (SA) of the power system.
Publications:
1. R. Sodhi and M. I. Sharieff, "Phasor measurement unit placement framework for enhanced wide-area situational awareness," in IET Generation, Transmission & Distribution, vol. 9, no. 2, pp. 172-182,1/29/2015. doi: 10.1049/iet-gtd.2014.0215.
2. M. I. Sharieff and R Sodhi, "Synchrophasor-Assisted Detection and Control of Emergency Voltage Instability Conditions," in The CPRI Journal, vol. 12, no. 3, September 2016.
3. I. Sharieff and R. Sodhi, " PMU Measurements based Voltage Stability Assessment," 2012 Seventeenth National Power Systems Conference (NPSC), IIT BHU Varanasi, 2012, pp. 1-6.
4. I. Sharieff, M. Prasad, K. N. Satish and R. Sodhi, "Implementation and evaluation of a labscale synchrophasor model and applications," 2014 Eighteenth National Power Systems Conference (NPSC), Guwahati, 2014, pp. 1-6.
5. Imran Sharieff and R Sodhi,"A Synchrophasor Assisted Voltage Stability Indicator", IEEE Conference on Innovative Smart Grid Technologies 2014, Kuala Lumpur.
6. Jatin Verma, Imran Sharieff and Ranjana Sodhi,"A Meticulous Approach towards Contingency Clustering in Power Systems" IEEE PIICON 2016, Bikaner, Rajasthan
7. Imran Sharieff and Ranjana Sodhi,"A simple strategic SVC placement scheme for enhanced voltage stability margins", 20th National Power System Conference (NPSC 2018).
Thesis Defended on 2nd April 2018