[Legacy Report] Seminar on Decentralized Estimation and Control for Power Systems
Topic: Decentralized Estimation and Control for Power Systems
Speaker: Dr. Abhinav Kumar Singh, Imperial College, London.
Venue: 10:00 to 11:00, 9th January, 2015, DA229, ACES building, IIT Kanpur.
Abstract of the talk:
Some practical limitations and problems associated with real-time centralized estimation and control for power systems are computational bottlenecks, cyber threats, issues in acquiring system-wide parameters and measurements, and packet dropouts, random time delays and packet disordering in the power system communication network.
These problems can be solved by a decentralized methodology which only requires local parameters and measurements for estimation and control of a local unit in the system. The cumulative effect of control at all the units should be such that the global oscillations and instabilities in the power system are controlled. Such a decentralized methodology will be presented. The method for decentralization is based on a new concept of `pseudo-inputs' in which some of measurements are treated as inputs. Unscented Kalman filtering (UKF) is applied on the decentralized system for dynamic state estimation (DSE). An extended linear quadratic regulator (ELQR) has been proposed for the optimal control of each local unit such that the whole power system is stabilized and all the oscillations are adequately damped. ELQR requires DSE as a prerequisite. The applicability of integrated system for dynamic estimation and control has also been demonstrated on a model 16-machine 68-bus benchmark system.
Speaker biography:
Dr. Abhinav Kumar Singh received B.Tech. degree from Indian Institute of Technology, New Delhi, India, in 2010 in Electrical Engineering (Power). He has recently completed his PhD degree in Electrical Engineering from Imperial College London, U.K. He has received EPSRC Fellowship Prize for the work done during his PhD, and as a part of this prize he is currently working as a post-doctoral fellow for a year at Imperial College. His research interests include state estimation, decentralized control and communication aspects of power systems.
Date and Time
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- Date: 09 Jan 2015
- Time: 04:30 AM UTC to 05:30 AM UTC
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