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DTSTAMP:20241214T050549Z
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DESCRIPTION:[]\n\nOver the past decade\, with the introduction of microgrid
 s\, a distributed architecture comprising small localized grids\, has emer
 ged as a concept aimed at integrating Distributed Energy Resources (DERs) 
 while maintaining or enhancing system resiliency and reliability\, while l
 everaging inverter-based resources (IBRs)\, such as solar photovoltaic (PV
 ) systems. Nevertheless\, the adoption of new grid architectures poses cha
 llenges\, as implementing novel engineering concepts must consider the fun
 damental principles governing the operation of the existing grid to avoid 
 potential disruptions. The risk associated with testing unproven ideas emp
 hasizes the importance of modeling\, particularly for dynamic simulation a
 nd control\, to understand the interaction between the existing grid struc
 ture and microgrids.\n\nIn this context\, Modelica\, an open-access modeli
 ng language\, offers unique features and tremendous potential for modeling
  and analyzing microgrids. This work utilizes Modelica to model microgrid 
 components and systems. Beginning with the goal of leveraging DERs in micr
 ogrids\, the work starts by developing renewable energy source models in t
 he phasor domain capable of representing photovoltaic\, wind\, and battery
  energy storage systems. With these component models in place\, whole micr
 ogrid models are constructed\, including real-world university campus micr
 ogrids and a proof-of-concept microgrid model. Finally\, these microgrid m
 odels are employed to test advanced control architectures\, aiming to enha
 nce resiliency and optimize microgrid operations to meet established perfo
 rmance requirements for microgrids. The results of this work provide descr
 iption and validation of the aforementioned models\, as well as a proof of
  concept of utilizing Model Predictive Control to increase microgrid resil
 iency and achieve optimal autonomous operation and re-synchronization with
  the main grid.\n\nAbout the Speaker:\n\n[]\n\nLuigi Vanfretti is currentl
 y a Full Professor at Rensselaer Polytechnic Institute\, since July 2022\,
  where he was a tenured Associate Professor from 2017-6/2022-6. At RPI\, h
 e leads research projects in his laboratory and with his research team\, A
 LSETLab\, in the domains of electrical power systems and aircraft electrif
 ication.\n\nIn addition to his academic duties\, through Vanfretti Consult
 ing LLC\, Dr. Vanfretti serves as a consultant for utilities and research 
 institutions\, including Dominion Energy in Virginia\, USA\, the New York 
 Power Authority\, New York\, USA\, the SuperGrid Institute in Lyon\, Franc
 e\, and CENACE (the power system operator of Ecuador)\, Quito\, Ecuador\, 
 to name a few.\n\nJoining in Person at UCI-Applied Innovation Center:\n\nF
 or those people who will joining the event in-person from UCI Applied Inno
 vation Center\, please proceed to the conference room on level 2. Parking 
 is free around the Innovation Center.\n\nBldg: 5270 California Avenue \, A
 pplied Innovation Conference Room\, Irvine\, California\, United States\, 
 92697\, Virtual: https://events.vtools.ieee.org/m/447980
LOCATION:Bldg: 5270 California Avenue \, Applied Innovation Conference Room
 \, Irvine\, California\, United States\, 92697\, Virtual: https://events.v
 tools.ieee.org/m/447980
ORGANIZER:srazanaq@uwo.ca
SEQUENCE:38
SUMMARY:IEEE PES/PELS Lecture: Dynamic Modeling for Autonomous Microgrid Co
 ntrol and Resilient Operation using Modelica and the OpenIPSL
URL;VALUE=URI:https://events.vtools.ieee.org/m/447980
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;br&gt;&lt;img style=&quot;display: block\; margin-le
 ft: auto\; margin-right: auto\;&quot; src=&quot;https://events.vtools.ieee.org/vtool
 s_ui/media/display/06e0bce6-c310-46f1-b63a-22d828ed4fda&quot; alt=&quot;&quot; width=&quot;756
 &quot; height=&quot;86&quot;&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justify\;&quot;&gt;&lt;sp
 an lang=&quot;EN&quot; style=&quot;font-size: 12pt\; font-family: arial\, helvetica\, san
 s-serif\;&quot;&gt;Over the past decade\, with the introduction of microgrids\, a 
 distributed architecture comprising small localized grids\, has emerged as
  a concept aimed at integrating Distributed Energy Resources (DERs) while 
 maintaining or enhancing system resiliency and reliability\, while leverag
 ing inverter-based resources (IBRs)\, such as solar photovoltaic (PV) syst
 ems. Nevertheless\, the adoption of new grid architectures poses challenge
 s\, as implementing novel engineering concepts must consider the fundament
 al principles governing the operation of the existing grid to avoid potent
 ial disruptions. The risk associated with testing unproven ideas emphasize
 s the importance of modeling\, particularly for dynamic simulation and con
 trol\, to understand the interaction between the existing grid structure a
 nd microgrids.&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;&lt;span s
 tyle=&quot;font-size: 12pt\; line-height: 115%\; font-family: arial\, helvetica
 \, sans-serif\;&quot;&gt;&lt;span lang=&quot;EN&quot; style=&quot;line-height: 115%\;&quot;&gt;In this conte
 xt\, Modelica\, an open-access modeling language\, offers unique features 
 and tremendous potential for modeling and analyzing microgrids. This work 
 utilizes Modelica to model microgrid components and systems. Beginning wit
 h the goal of leveraging DERs in microgrids\, the work starts by developin
 g renewable energy source models in the phasor domain capable of represent
 ing photovoltaic\, wind\, and battery energy storage systems. With these c
 omponent models in place\, whole microgrid models are constructed\, includ
 ing real-world university campus microgrids and a proof-of-concept microgr
 id model. Finally\, these microgrid models are employed to test advanced c
 ontrol architectures\, aiming to enhance resiliency and optimize microgrid
  operations to meet established performance requirements for microgrids. T
 he results of this work provide description and validation of the aforemen
 tioned models\, as well as a proof of concept of utilizing Model Predictiv
 e Control to increase microgrid resiliency and achieve optimal autonomous 
 operation and re-synchronization with the main grid.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p
 &gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-decoration: underline\; font-size: 12pt
 \;&quot;&gt;&lt;span style=&quot;color: rgb(0\, 0\, 0)\; text-decoration: underline\;&quot;&gt;&lt;st
 rong&gt;About the Speaker:&lt;/strong&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;img src=&quot;https://e
 vents.vtools.ieee.org/vtools_ui/media/display/6b43c561-5f38-4efe-bda9-4263
 443d9e2e&quot; alt=&quot;&quot; width=&quot;316&quot; height=&quot;210&quot;&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style
 =&quot;text-align: justify\;&quot;&gt;&lt;span lang=&quot;EN&quot; style=&quot;font-size: 12pt\; font-fam
 ily: arial\, helvetica\, sans-serif\;&quot;&gt;&lt;strong&gt;Luigi Vanfretti&lt;/strong&gt; is
  currently a Full Professor at Rensselaer Polytechnic Institute\, since Ju
 ly 2022\, where he was a tenured Associate Professor from 2017-6/2022-6. A
 t RPI\, he leads research projects in his laboratory and with his research
  team\, ALSETLab\, in the domains of electrical power systems and aircraft
  electrification. &lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: jus
 tify\;&quot;&gt;&lt;span lang=&quot;EN&quot; style=&quot;font-size: 12pt\; font-family: arial\, helv
 etica\, sans-serif\;&quot;&gt;In addition to his academic duties\, through Vanfret
 ti Consulting LLC\, Dr. Vanfretti serves as a consultant for utilities and
  research institutions\, including Dominion Energy in Virginia\, USA\, the
  New York Power Authority\, New York\, USA\, the SuperGrid Institute in Ly
 on\, France\, and CENACE (the power system operator of Ecuador)\, Quito\, 
 Ecuador\, to name a few.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-alig
 n: justify\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;
 p style=&quot;text-align: justify\;&quot;&gt;&lt;span style=&quot;text-decoration: underline\;&quot;
 &gt;&lt;strong&gt;Joining in Person at UCI-Applied Innovation Center:&lt;/strong&gt;&lt;/spa
 n&gt;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;For those people who will joining
  the event in-person from UCI Applied Innovation Center\, please proceed t
 o the conference room on level 2. Parking is free around the Innovation Ce
 nter.&amp;nbsp\;&lt;/p&gt;
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