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VERSION:2.0
PRODID:IEEE vTools.Events//EN
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TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20181027T103119Z
UID:50A3572C-5F38-4EC6-98BC-3CBAF8AAC887
DTSTART;TZID=Asia/Kolkata:20180115T143000
DTEND;TZID=Asia/Kolkata:20180115T153000
DESCRIPTION:Combinatorial optimization problems arise in many applications 
 in various\nforms in seemingly unrelated areas such as data compression\, 
 pattern\nrecognition\, image segmentation\, resource allocation\, routing\
 , and\nscheduling\, graph aggregation\, and graph partition problems. Thes
 e\noptimization problems are largely non convex\, computationally complex 
 and\nsuffer from multiple local minima that riddle the cost surface. In ou
 r\nwork\, we are motivated by solutions that are employed by nature to sim
 ilar\ncombinatorial optimization problems\; well described in terms of law
 s such\nas minimum free energy principle in statistical physics literature
 . The\nresulting approach is independent of initialization\, fast and resu
 lts in\nhigh-quality solutions.\nIn the second half of my talk\, I'll disc
 uss innovative hardware and\nsoftware solutions to integrate and coordinat
 e generation\, transmission\,\nand end-use energy systems at various point
 s on the electric grid. In this\ncontext\, microgrids are hypothesized as 
 viable alternatives to the\ntraditional electric grid. Microgrids support 
 a flexible and efficient\nelectric grid by enabling the integration of gro
 wing deployments of\ndistributed energy resources such as renewables like 
 solar and wind. We\nhave devised a novel robust and optimal control archit
 ecture to address\nchallenges in decentralized control of microgrids. Thes
 e control systems\nwill enable real-time coordination between distributed 
 generation\, such as\nrooftop and community solar assets and bulk power ge
 neration\, while\nproactively shaping electric load.\n\nSpeaker(s): Mr. Ma
 yank Baranwal\, \n\nBldg: ACES\, DA 229\, IIT KANPUR\, KANPUR\, Uttar Prad
 esh\, India\, 208016
LOCATION:Bldg: ACES\, DA 229\, IIT KANPUR\, KANPUR\, Uttar Pradesh\, India\
 , 208016
ORGANIZER:kvs@iitk.ac.in
SEQUENCE:0
SUMMARY:Statistical-Physics inspired approaches for combinatorial optimizat
 ion\; and enabling the grid of the future
URL;VALUE=URI:https://events.vtools.ieee.org/m/180058
X-ALT-DESC:Description: <br /><p>Combinatorial optimization problems arise 
 in many applications in various<br />forms in seemingly unrelated areas su
 ch as data compression\, pattern<br />recognition\, image segmentation\, r
 esource allocation\, routing\, and<br />scheduling\, graph aggregation\, a
 nd graph partition problems. These<br />optimization problems are largely 
 non convex\, computationally complex and<br />suffer from multiple local m
 inima that riddle the cost surface. In our<br />work\, we are motivated by
  solutions that are employed by nature to similar<br />combinatorial optim
 ization problems\; well described in terms of laws such<br />as minimum fr
 ee energy principle in statistical physics literature. The<br />resulting 
 approach is independent of initialization\, fast and results in<br />high-
 quality solutions.<br />In the second half of my talk\, I'll discuss innov
 ative hardware and<br />software solutions to integrate and coordinate gen
 eration\, transmission\,<br />and end-use energy systems at various points
  on the electric grid. In this<br />context\, microgrids are hypothesized 
 as viable alternatives to the<br />traditional electric grid. Microgrids s
 upport a flexible and efficient<br />electric grid by enabling the integra
 tion of growing deployments of<br />distributed energy resources such as r
 enewables like solar and wind.&nbsp\; We<br />have devised a novel robust 
 and optimal control architecture to address<br />challenges in decentraliz
 ed control of microgrids. These control systems<br />will enable real-time
  coordination between distributed generation\, such as<br />rooftop and co
 mmunity solar assets and bulk power generation\, while<br />proactively sh
 aping electric load.</p>
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