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DESCRIPTION:DTU Wind invites you to an MSc/PhD short course at DTU\, taught
  by Prof. Marija Ilić (MIT)\, focusing on advanced modelling\, simulation
 \, and control of modern electric power systems. The course is offered fre
 e of charge\, and participants may optionally obtain 5 ECTS credits.\n\nTh
 e course addresses key challenges in the transition of power systems\, inc
 luding integration of renewable energy\, electrification\, and increasing 
 system complexity. It introduces a unified dynamic modelling framework and
  explores methods for system analysis\, optimization\, sensing\, and contr
 ol\, with applications to reliable\, efficient\, and resilient electricity
  services.\n\nParticipants will gain insights into next‑generation power
  system operation\, including distributed control\, energy system dynamics
 \, and emerging concepts such as advanced SCADA and digital twins. The cou
 rse combines lectures with interactive sessions and real‑world case stud
 ies.\n\nPlease register for the course by sending an e-mail to Prof. G. Ya
 ng: [gyyan@dtu.dk](mailto:gyyan@dtu.dk?subject=Registration%20course%20Pro
 f%20Ilic)\n\nCo-sponsored by: DTU Wind and Energy Systems\n\nSpeaker(s): M
 arija Ilic\n\nAgenda: \nList of topics:\n\n- Course motivation\, objective
 s and overview\; examples of electric power systems\; performance objectiv
 es\; Engineering IT-Enabled Electricity Services (discussion using Azores 
 Islands electric power systems)\n- Physical grids\; Main Components\; Stat
 e Space Modelling for Electric Energy Systems\; Intro to Energy Conversion
  Dynamics\; Synchronous Machine and its Dynamical Model\; Solar PVs\, Wind
  Power\, Storage Modelling\n- From components to systems: Objectives\, mod
 elling\, control and simulations\n- Tertiary level control\; optimization 
 for feedforward\; scheduling\; Model predictive economic dispatch-Dynamic 
 Monitoring and Decision Systems (DyMonDS) (generation dispatch\, adaptive 
 load management (ALM)\; EVs and storage management\n- Power delivery probl
 em formulations: a) DC power flow and AC power flow (analysis)\; b) DC Opt
 imal power flow (DC OPF) and AC Optimal Power Flow (AC OPF) (decision/opti
 mization)\; (N-1) reliability and (N-k) resiliency problems\n- Tasks under
 lying today’s electricity services\; Hierarchical control and enabling a
 lgorithms\; Beyond today’s Hierarchical Control\; Relaxing assumptions\n
 - Structure-preserving modelling of area dynamics in interconnected system
 s using interaction variables\; multi-layered energy dynamics modelling an
 d control\; energy dynamics control of Grid Forming (GFM) and Grid Followi
 ng (GFL) technologies\n- Implementation of efficient and reliable electric
 ity service at value\; Distributed model predictive control and storage\; 
 Toward implementable complete markets to support innovation at value\; nex
 t generation SCADA - Dynamic Monitoring and Decision Systems (DyMonDS)\; D
 emos using EESG DyMoNDS Digital Twin\n\nRoom: 120\, Bldg: 329A\, Elektrove
 j\, Kgs. Lyngby\, Kobenhavns Amt\, Denmark\, 2800
LOCATION:Room: 120\, Bldg: 329A\, Elektrovej\, Kgs. Lyngby\, Kobenhavns Amt
 \, Denmark\, 2800
ORGANIZER:gyyan@dtu.dk
SEQUENCE:65
SUMMARY:MSc/PhD course: Prof. M. Ilic - Principles of modelling\, simulatio
 ns and control for efficient/reliable/resilient electricity service
URL;VALUE=URI:https://events.vtools.ieee.org/m/564905
X-ALT-DESC:Description: &lt;br /&gt;&lt;div&gt;\n&lt;p&gt;&lt;strong&gt;DTU Wind&lt;/strong&gt; invites y
 ou to an MSc/PhD short course at DTU\, taught by &lt;strong&gt;Prof. Marija Ili
 ć (MIT)&lt;/strong&gt;\, focusing on advanced modelling\, simulation\, and cont
 rol of modern electric power systems. The course is &lt;strong&gt;offered free o
 f charge&lt;/strong&gt;\, and participants may &lt;strong&gt;optionally obtain 5 ECTS 
 credits&lt;/strong&gt;.&lt;/p&gt;\n&lt;p&gt;The course addresses &lt;strong&gt;key challenges in t
 he transition of power systems\, including integration of renewable energy
 \, electrification\, and increasing system complexity&lt;/strong&gt;. It introdu
 ces a unified dynamic modelling framework and explores methods for system 
 analysis\, optimization\, sensing\, and control\, with applications to rel
 iable\, efficient\, and resilient electricity services.&lt;/p&gt;\n&lt;p&gt;Participan
 ts will gain insights into next‑generation power system operation\, incl
 uding distributed control\, energy system dynamics\, and emerging concepts
  such as advanced SCADA and digital twins. The course combines lectures wi
 th interactive sessions and real‑world case studies.&lt;/p&gt;\n&lt;/div&gt;\n&lt;p&gt;Ple
 ase register for the course by sending an e-mail to Prof. G. Yang: &lt;a href
 =&quot;mailto:gyyan@dtu.dk?subject=Registration%20course%20Prof%20Ilic&quot; target=
 &quot;_blank&quot; rel=&quot;noopener&quot;&gt;gyyan@dtu.dk&lt;/a&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&lt;
 img style=&quot;display: block\; margin-left: auto\; margin-right: auto\;&quot; src=
 &quot;https://events.vtools.ieee.org/vtools_ui/media/display/5fd46f1c-5fe8-4212
 -b2a9-d2a139e8107f&quot; width=&quot;951&quot; height=&quot;252&quot;&gt;&lt;/p&gt;\n&lt;p&gt;List of topics:&lt;/p&gt;\
 n&lt;ol&gt;\n&lt;li&gt;Course motivation\, objectives and overview\; examples of elect
 ric power systems\; performance objectives\; Engineering IT-Enabled Electr
 icity Services (discussion using Azores Islands electric power systems)&lt;/l
 i&gt;\n&lt;li&gt;Physical grids\; Main Components\; State Space Modelling for Elect
 ric Energy Systems\; Intro to Energy Conversion Dynamics\; Synchronous Mac
 hine and its Dynamical Model\; Solar PVs\, Wind Power\, Storage Modelling&lt;
 /li&gt;\n&lt;li&gt;From components to systems: Objectives\, modelling\, control and
  simulations&lt;/li&gt;\n&lt;li&gt;Tertiary level control\; optimization for feedforwa
 rd\; scheduling\; Model predictive economic dispatch-Dynamic Monitoring an
 d Decision Systems (DyMonDS) (generation dispatch\, adaptive load manageme
 nt (ALM)\; EVs and storage management&lt;/li&gt;\n&lt;li&gt;Power delivery problem for
 mulations: a) DC power flow and AC power flow (analysis)\; b) DC Optimal p
 ower flow (DC OPF) and AC Optimal Power Flow (AC OPF) (decision/optimizati
 on)\; (N-1) reliability and (N-k) resiliency problems&lt;/li&gt;\n&lt;li&gt;Tasks unde
 rlying today&amp;rsquo\;s electricity services\; Hierarchical control and enab
 ling algorithms\; Beyond today&amp;rsquo\;s Hierarchical Control\; Relaxing as
 sumptions&lt;/li&gt;\n&lt;li&gt;Structure-preserving modelling of area dynamics in int
 erconnected systems using interaction variables\; multi-layered energy dyn
 amics modelling and control\; energy dynamics control of Grid Forming (GFM
 ) and Grid Following (GFL) technologies&lt;/li&gt;\n&lt;li&gt;Implementation of effici
 ent and reliable electricity service at value\; Distributed model predicti
 ve control and storage\; Toward implementable complete markets to support 
 innovation at value\; next generation SCADA - Dynamic Monitoring and Decis
 ion Systems (DyMonDS)\; Demos using EESG DyMoNDS Digital Twin&lt;/li&gt;\n&lt;/ol&gt;
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