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DTSTART:20230312T030000
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DTSTART:20221106T010000
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DTSTAMP:20230313T194952Z
UID:8DD86436-8001-4842-9D84-7E3EED9AD505
DTSTART;TZID=America/New_York:20221111T170000
DTEND;TZID=America/New_York:20221111T180000
DESCRIPTION:Access to physics-based models for simulation studies has\nalwa
 ys been crucial to power system analysis for operation\nand planning. The 
 lack of accurate and transparent dynamic\nmodels\, particularly for conver
 ter-interfaced resources like\nSTATCOMs\, solar PV\, data centers\, and so
  on\, is one of the\nmain problems utilities like Dominion face. In terms 
 of time\nscales of dynamics\, fault current\, output uncertainty\,\nprotec
 tion\, and other phenomena\, these resources behave\nvery differently from
  well-understood synchronous\nmachines. Even worse\, control settings are 
 only revisited\nwhen a problem "grows significant enough" to cause assets\
 nto trip offline or at least trigger comfortably set alarms.\nDominion Ene
 rgy will describe its initiative to develop datadriven methods for early d
 etection of dynamic performance\nissues and comprehension of their mechani
 sm as well as the\ndifficulties involved with real-world data analysis in 
 this\npresentation using a solar PV oscillation case from their\nsystem.\n
 \nVirtual: https://events.vtools.ieee.org/m/330955
LOCATION:Virtual: https://events.vtools.ieee.org/m/330955
ORGANIZER:jointpelspes@uconn.edu
SEQUENCE:3
SUMMARY:Invited Talk: Dr. Chetan Mishra
URL;VALUE=URI:https://events.vtools.ieee.org/m/330955
X-ALT-DESC:Description: <br /><p>Access to physics-based models for simulat
 ion studies has<br />always been crucial to power system analysis for oper
 ation<br />and planning. The lack of accurate and transparent dynamic<br /
 >models\, particularly for converter-interfaced resources like<br />STATCO
 Ms\, solar PV\, data centers\, and so on\, is one of the<br />main problem
 s utilities like Dominion face. In terms of time<br />scales of dynamics\,
  fault current\, output uncertainty\,<br />protection\, and other phenomen
 a\, these resources behave<br />very differently from well-understood sync
 hronous<br />machines. Even worse\, control settings are only revisited<br
  />when a problem "grows significant enough" to cause assets<br />to trip 
 offline or at least trigger comfortably set alarms.<br />Dominion Energy w
 ill describe its initiative to develop datadriven methods for early detect
 ion of dynamic performance<br />issues and comprehension of their mechanis
 m as well as the<br />difficulties involved with real-world data analysis 
 in this<br />presentation using a solar PV oscillation case from their<br 
 />system.</p>
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