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DTSTAMP:20150110T045434Z
UID:F1323CD4-E5B6-11E7-833E-0050568D7F66
DTSTART;TZID=Asia/Kolkata:20150109T100000
DTEND;TZID=Asia/Kolkata:20150109T110000
DESCRIPTION:Topic: Decentralized Estimation and Control for Power Systems\n
 \nSpeaker: Dr. Abhinav Kumar Singh\, Imperial College\, London.\n\nVenue: 
 10:00 to 11:00\, 9th January\, 2015\, DA229\, ACES building\, IIT Kanpur.\
 n\nAbstract of the talk:\nSome practical limitations and problems associat
 ed with real-time centralized estimation and control for power systems are
  computational bottlenecks\, cyber threats\, issues in acquiring system-wi
 de parameters and measurements\, and packet dropouts\, random time delays 
 and packet disordering in the power system communication network.\n\nThese
  problems can be solved by a decentralized methodology which only requires
  local parameters and measurements for estimation and control of a local u
 nit in the system. The cumulative effect of control at all the units shoul
 d be such that the global oscillations and instabilities in the power syst
 em 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 filt
 ering (UKF) is applied on the decentralized system for dynamic state estim
 ation (DSE). An extended linear quadratic regulator (ELQR) has been propos
 ed for the optimal control of each local unit such that the whole power sy
 stem is stabilized and all the oscillations are adequately damped. ELQR re
 quires DSE as a prerequisite. The applicability of integrated system for d
 ynamic estimation and control has also been demonstrated on a model 16-mac
 hine 68-bus benchmark system.\n\nSpeaker biography:\n\nDr. Abhinav Kumar S
 ingh received B.Tech. degree from Indian Institute of Technology\, New Del
 hi\, India\, in 2010 in Electrical Engineering (Power). He has recently co
 mpleted his PhD degree in Electrical Engineering from Imperial College Lon
 don\, 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-d
 octoral fellow for a year at Imperial College. His research interests incl
 ude state estimation\, decentralized control and communication aspects of 
 power systems.\n\nKanpur\, Uttar Pradesh\, India
LOCATION:Kanpur\, Uttar Pradesh\, India
ORGANIZER:saikatc@iitk.ac.in
SEQUENCE:0
SUMMARY:[Legacy Report] Seminar on Decentralized Estimation and Control for
  Power Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/110937
X-ALT-DESC:Description: <br /><p>Topic: <strong>Decentralized Estimation an
 d Control for Power Systems</strong><br /> <br /> Speaker: Dr. Abhinav Kum
 ar Singh\, Imperial College\, London.<br /> <br /> Venue: 10:00 to 11:00\,
  9th January\, 2015\, DA229\, ACES building\, IIT Kanpur.<br /> <br /> Abs
 tract of the talk:<br /> Some practical limitations and problems associate
 d with real-time centralized estimation and control for power systems are 
 computational bottlenecks\, cyber threats\, issues in acquiring system-wid
 e parameters and measurements\, and packet dropouts\, random time delays a
 nd packet disordering in the power system communication network.<br /> <br
  /> 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 un
 its should be such that the global oscillations and instabilities in the p
 ower system are controlled. Such a decentralized methodology will be prese
 nted. The method for decentralization is based on a new concept of `pseudo
 -inputs' in which some of measurements are treated as inputs. Unscented Ka
 lman filtering (UKF) is applied on the decentralized system for dynamic st
 ate estimation (DSE). An extended linear quadratic regulator (ELQR) has be
 en 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 sys
 tem for dynamic estimation and control has also been demonstrated on a mod
 el 16-machine 68-bus benchmark system.<br /> <br /> <br /> Speaker biograp
 hy:</p>\n<p>Dr. Abhinav Kumar Singh received B.Tech. degree from Indian In
 stitute of Technology\, New Delhi\, India\, in 2010 in Electrical Engineer
 ing (Power).&nbsp\; He has recently completed his PhD degree in Electrical
  Engineering from Imperial College London\, U.K. He has received EPSRC Fel
 lowship Prize for the work done during his PhD\, and as a part of this pri
 ze he is currently working as a post-doctoral fellow for a year at Imperia
 l College. His research interests include state estimation\, decentralized
  control and communication aspects of power systems.</p>
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