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DTSTART:20251102T010000
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DESCRIPTION:Title: Research challenges and opportunities in microgrid contr
 ol and optimization: Industrial perspectives\n\nPresenter: Dr. Satish Vedu
 la\n\nDate and Time: Monday 11/24/2025\, 2-3PM\n\nRoom: CAPS 120 (2000 Lev
 y Avenue\, Tallahassee\, FL 32310\, Building A)\n\nAbstract: In this talk\
 , I will discuss emerging challenges in the control of microgrids incorpor
 ating energy storage systems\, the associated research opportunities\, and
  the strategies needed to prepare for these opportunities. The rapid advan
 cement of artificial intelligence technologies\, coupled with the growing 
 emphasis on resilient and high-availability data centers\, is driving a si
 gnificant shift in power system requirements. Modern facilities increasing
 ly impose stochastic\, high-load\, and high ramp-rate demands\, creating u
 nprecedented engineering and operational complexities.\n\nMeeting these de
 mands requires innovative microgrid architectures and advanced control met
 hodologies capable of ensuring reliability\, stability\, and resilience un
 der both normal operating conditions and extreme event scenarios. This pre
 sentation will examine how industry stakeholders are currently addressing 
 these challenges\, including the deployment of advanced storage technologi
 es\, predictive control algorithms\, and grid-interactive operational fram
 eworks.\n\nFinally\, I will highlight key research directions with the pot
 ential to support this rapidly evolving energy ecosystem. These include ne
 w methods for real-time optimization\, resilience-oriented system design\,
  AI-enabled control\, and robust integration of distributed energy resourc
 es. Together\, these developments represent a critical opportunity to buil
 d next-generation power systems capable of sustaining the accelerating com
 putational and infrastructural demands of the future.\n\nSpeaker(s): Dr Ve
 dula\, \n\nRoom: 120\, Bldg: BLDG. A\, 2000 Levy Ave\, Tallahassee\, Flori
 da\, United States\, 32310
LOCATION:Room: 120\, Bldg: BLDG. A\, 2000 Levy Ave\, Tallahassee\, Florida\
 , United States\, 32310
ORGANIZER:ckim@caps.fsu.edu
SEQUENCE:12
SUMMARY:Research challenges and opportunities in microgrid control and opti
 mization: Industrial perspectives
URL;VALUE=URI:https://events.vtools.ieee.org/m/516731
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot; style=&quot;background: white
 \;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 11.0pt\; mso-fareast-font-family: &#39;Tim
 es New Roman&#39;\; color: black\;&quot;&gt;Title&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-siz
 e: 11.0pt\; mso-fareast-font-family: &#39;Times New Roman&#39;\; color: black\;&quot;&gt;:
  Research challenges and opportunities in microgrid control and optimizati
 on: Industrial perspectives&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;backgr
 ound: white\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 11.0pt\; mso-fareast-font-f
 amily: &#39;Times New Roman&#39;\; color: black\;&quot;&gt;Presenter&lt;/span&gt;&lt;/strong&gt;&lt;span 
 style=&quot;font-size: 11.0pt\; mso-fareast-font-family: &#39;Times New Roman&#39;\; co
 lor: black\;&quot;&gt;: Dr. Satish Vedula&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;
 background: white\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 11.0pt\; mso-fareast-
 font-family: &#39;Times New Roman&#39;\; color: black\;&quot;&gt;Date and Time&lt;/span&gt;&lt;/str
 ong&gt;&lt;span style=&quot;font-size: 11.0pt\; mso-fareast-font-family: &#39;Times New R
 oman&#39;\; color: black\;&quot;&gt;: Monday 11/24/2025\, 2-3PM&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;
 MsoNormal&quot; style=&quot;background: white\;&quot;&gt;&lt;span style=&quot;font-size: 11.0pt\; ms
 o-fareast-font-family: &#39;Times New Roman&#39;\; color: black\;&quot;&gt;&lt;strong&gt;Room&lt;/s
 trong&gt;: CAPS 120 (2000 Levy Avenue\, Tallahassee\, FL 32310\, Building A)&lt;
 /span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;background: white\;&quot;&gt;&lt;strong&gt;&lt;span
  style=&quot;font-size: 11.0pt\; mso-fareast-font-family: &#39;Times New Roman&#39;\; c
 olor: black\;&quot;&gt;Abstract&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size: 11.0pt\; ms
 o-fareast-font-family: &#39;Times New Roman&#39;\; color: black\;&quot;&gt;: In this talk\
 , I will discuss emerging challenges in the control of microgrids incorpor
 ating energy storage systems\, the associated research opportunities\, and
  the strategies needed to prepare for these opportunities. The rapid advan
 cement of artificial intelligence technologies\, coupled with the growing 
 emphasis on resilient and high-availability data centers\, is driving a si
 gnificant shift in power system requirements. Modern facilities increasing
 ly impose stochastic\, high-load\, and high ramp-rate demands\, creating u
 nprecedented engineering and operational complexities.&lt;/span&gt;&lt;/p&gt;\n&lt;p clas
 s=&quot;MsoNormal&quot; style=&quot;background: white\;&quot;&gt;&lt;span style=&quot;font-size: 11.0pt\;
  mso-fareast-font-family: &#39;Times New Roman&#39;\; color: black\;&quot;&gt;Meeting thes
 e demands requires innovative microgrid architectures and advanced control
  methodologies capable of ensuring reliability\, stability\, and resilienc
 e under both normal operating conditions and extreme event scenarios. This
  presentation will examine how industry stakeholders are currently address
 ing these challenges\, including the deployment of advanced storage techno
 logies\, predictive control algorithms\, and grid-interactive operational 
 frameworks.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;background: white\;&quot;&gt;&lt;
 span style=&quot;font-size: 11.0pt\; mso-fareast-font-family: &#39;Times New Roman&#39;
 \; color: black\;&quot;&gt;Finally\, I will highlight key research directions with
  the potential to support this rapidly evolving energy ecosystem. These in
 clude new methods for real-time optimization\, resilience-oriented system 
 design\, AI-enabled control\, and robust integration of distributed energy
  resources. Together\, these developments represent a critical opportunity
  to build next-generation power systems capable of sustaining the accelera
 ting computational and infrastructural demands of the future.&lt;/span&gt;&lt;/p&gt;
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