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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Phoenix
BEGIN:STANDARD
DTSTART:19671029T010000
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
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BEGIN:VEVENT
DTSTAMP:20241030T180521Z
UID:B338110B-D3CB-4ED2-A5C3-679B96B4407D
DTSTART;TZID=America/Phoenix:20241030T100000
DTEND;TZID=America/Phoenix:20241030T110000
DESCRIPTION:As a critical infrastructure\, the electric energy system is un
 dergoing an unprecedented transition towards sustainability. While the int
 egration of renewables\, responsive “smart” loads\, and remote control
  techniques improves economics and sustainability\, it also poses signific
 ant challenges to grid stability and dynamics. The traditional approach of
  using differential-algebraic equations to model power system components f
 aces challenges due to the high complexity of renewable models and the het
 erogeneity of smart devices. To tackle this complexity\, ANDES\, a compute
 r-assisted symbolic-numeric framework is presented. It enables rapid proto
 typing of complex grid models for large-scale studies and has been develop
 ed open-source for research and education. The second part of the talk wil
 l focus on generalizing the simulation models and solution methods for mul
 ti-timescale dynamic simulations\, including electromagnetic transients an
 d stability\, for a general-purpose solver.\n\nSpeaker(s): Hantao\n\nVirtu
 al: https://events.vtools.ieee.org/m/437489
LOCATION:Virtual: https://events.vtools.ieee.org/m/437489
ORGANIZER:Anamitra.Pal@asu.edu
SEQUENCE:6
SUMMARY:The Pursuit for a Generalized Simulation Framework for Power System
  Transients and Stability
URL;VALUE=URI:https://events.vtools.ieee.org/m/437489
X-ALT-DESC:Description: <br /><p><span style="font-size: 11.0pt\; font-fami
 ly: 'Calibri'\,sans-serif\; mso-fareast-font-family: Calibri\; mso-fareast
 -theme-font: minor-latin\; color: black\; mso-ansi-language: EN-US\; mso-f
 areast-language: EN-US\; mso-bidi-language: AR-SA\;">As a critical infrast
 ructure\, the electric energy system is undergoing an unprecedented transi
 tion towards sustainability. While the integration of renewables\, respons
 ive &ldquo\;smart&rdquo\; loads\, and remote control techniques improves e
 conomics and sustainability\, it also poses significant challenges to grid
  stability and dynamics. The traditional approach of using differential-al
 gebraic equations to model power system components faces challenges due to
  the high complexity of renewable models and the heterogeneity of smart de
 vices. To tackle this complexity\, ANDES\, a computer-assisted symbolic-nu
 meric framework is presented. It enables rapid prototyping of complex grid
  models for large-scale studies and has been developed open-source for res
 earch and education. The second part of the talk will focus on generalizin
 g the simulation models and solution methods for multi-timescale dynamic s
 imulations\, including electromagnetic transients and stability\, for a ge
 neral-purpose solver.</span></p>
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