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DTSTAMP:20211217T045434Z
UID:86307E40-7AAA-40D9-9F80-5D1C6A364E7A
DTSTART;TZID=America/Denver:20211216T190000
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DESCRIPTION:When the power grid is disrupted – by an outage\, a cyberatta
 ck\, a natural disaster\, or an unexpected imbalance of supply and demand 
 – grid operators utilize Remedial Action Schemes (RAS) as the last line 
 of defense to maintain grid reliability and prevent broader\, cascading ev
 ents. RAS represents one of the core resilience components of the electric
  power system and is also one unique example of the IT/OT technology fusio
 n in grid modernization and digitalization.\n\nIn partnership with PacifiC
 orp and Idaho Power\, a Pacific Northwest National Laboratory (PNNL) resea
 rch team led by Dr. Xiaoyuan Fan has developed [Transformative Remedial Ac
 tion Scheme Tool (TRAST)](https://www.pnnl.gov/available-technologies/tras
 t-preventative-measures-real-world-reliability). The patented technology a
 utomates the process of identifying and evaluating RAS used by electric ut
 ilities to plan for specific contingencies and emergencies. TRAST uses a n
 ovel approach to automatically generate use cases\, bringing in advanced s
 tatistical data analysis tools\, and using machine learning algorithms to 
 analyze\, validate\, and help create RAS plans. PNNL’s parallel computin
 g platform and Microsoft cloud environment are utilized for steady state a
 nd dynamic simulations under massive contingencies and operating condition
 s. More realistic settings of RAS systems in the U.S. Western Interconnect
 ion can make the grid more reliable and resilient.\n\nContact Chris Gunnin
 g\, cgunning@ieee.org\, Boise Computer Society chapter chair\, if you have
  a section\, chapter\, or student branch that would like to be a co-host f
 or this event.\n\nSpeaker(s): Dr. Xiaoyuan Fan\, \n\nVirtual: https://even
 ts.vtools.ieee.org/m/292422
LOCATION:Virtual: https://events.vtools.ieee.org/m/292422
ORGANIZER:cgunning@ieee.org
SEQUENCE:11
SUMMARY:TRAST\, Preventive Measures for Real-World Reliability
URL;VALUE=URI:https://events.vtools.ieee.org/m/292422
X-ALT-DESC:Description: <br /><p>When the power grid is disrupted &ndash\; 
 by an outage\, a cyberattack\, a natural disaster\, or an unexpected imbal
 ance of supply and demand &ndash\; grid operators utilize Remedial Action 
 Schemes (RAS) as the last line of defense to maintain grid reliability and
  prevent broader\, cascading events. RAS represents one of the core resili
 ence components of the electric power system and is also one unique exampl
 e of the IT/OT technology fusion in grid modernization and digitalization.
 </p>\n<p>In partnership with PacifiCorp and Idaho Power\, a Pacific Northw
 est National Laboratory (PNNL) research team led by Dr. Xiaoyuan Fan has d
 eveloped <a href="https://www.pnnl.gov/available-technologies/trast-preven
 tative-measures-real-world-reliability">Transformative Remedial Action Sch
 eme Tool (TRAST)</a>. The patented technology automates the process of ide
 ntifying and evaluating RAS used by electric utilities to plan for specifi
 c contingencies and emergencies. TRAST uses a novel approach to automatica
 lly generate use cases\, bringing in advanced statistical data analysis to
 ols\, and using machine learning algorithms to analyze\, validate\, and he
 lp create RAS plans. PNNL&rsquo\;s parallel computing platform and Microso
 ft cloud environment are utilized for steady state and dynamic simulations
  under massive contingencies and operating conditions. More realistic sett
 ings of RAS systems in the U.S. Western Interconnection can make the grid 
 more reliable and resilient.</p>\n<p>Contact Chris Gunning\, cgunning@ieee
 .org\, Boise Computer Society chapter chair\, if you have a section\, chap
 ter\, or student branch that would like to be a co-host for this event.</p
 >
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