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UID:3D378773-495C-4C9C-A28C-80C0B7A85C73
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DESCRIPTION:The replacement of directly connected synchronous generators wi
 th power electronics interfaced generation has led to a decrease in system
 ’s inertia posing a significant challenge on frequency dynamics. In isol
 ated systems with reduced inertia the role of storage becomes crucial. Ind
 icative abstracts from the CIGRE WG C6.43 and results from studies in isla
 nd systems will be overviewed. Moreover\, predefined limits for renewable 
 penetration and primary reserves are frequently set for dynamic security p
 urposes. This approach might not ensure dynamic security or can prove cons
 ervative in certain conditions. Furthermore\, these approaches rarely cons
 ider the capabilities of inverter based renewable generation to provide fr
 equency services. In this presentation\, a data driven approach\, based on
  optimal classification trees is described to extract\, from a detailed dy
 namic model of the system\, the constraints for a frequency dynamic unit c
 ommitment formulation. Hence\, both dynamic security and optimal exploitat
 ion of renewable and conventional units for power production and frequency
  support can be achieved. The advantages of the proposed method compared t
 o conventional and state of the art approaches in frequency security are v
 alidated through dynamic simulations on a realistic model of Rhodes island
 . Its economic performance\, computational overhead and modelling complexi
 ty is compared to alternative approaches.\n\nDespite the benefits however\
 , system operators may be reluctant to embrace AI solutions\, as the model
 s may be challenging to interpret\, perceived as black boxes. Additional c
 oncerns may arise regarding the adequacy of testing under realistic condit
 ions. In the presentation these concerns are addressed by introducing a di
 gital twin designed for the realistic testing of dynamic security assessme
 nt applications in the system of Rhodes. The developed digital twin incorp
 orates two options for the virtual model of the island: an interface with 
 a commercial RMS/EMT software and a real time simulator together with an i
 ndustrial under frequency load shedding protection equipment. The settings
  of the actual field devices on the island are tested through a hardware i
 n the loop interface.\n\nCo-sponsored by: University of California\, River
 side\n\nSpeaker(s): Dr. Nikolas Hatziargyriou\, \n\nAgenda: \n- Welcome an
 d Speaker Introduction – 3 minutes\n- Presentation – Approximately 45 
 minutes\n- Q&amp;A Session – Approximately 10 minutes\n- Future Webinar Anno
 uncement and Closing Remarks – 2 minutes\n\nVirtual: https://events.vtoo
 ls.ieee.org/m/444890
LOCATION:Virtual: https://events.vtools.ieee.org/m/444890
ORGANIZER:mail@maxcherubin.com
SEQUENCE:24
SUMMARY:Data-Driven Frequency Dynamic Unit Commitment for Island Systems wi
 th High RES Penetration
URL;VALUE=URI:https://events.vtools.ieee.org/m/444890
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;IETPaperTitle&quot; style=&quot;text-align: j
 ustify\;&quot;&gt;&lt;span lang=&quot;EN-AU&quot; style=&quot;font-size: 14pt\; font-family: Aptos\,
  sans-serif\; font-weight: normal\;&quot;&gt;The replacement of directly connected
  synchronous generators with power electronics interfaced generation has l
 ed to a decrease in system&amp;rsquo\;s inertia posing a significant challenge
  on frequency dynamics. In isolated systems with reduced inertia the role 
 of storage becomes crucial. Indicative abstracts from the CIGRE WG C6.43 a
 nd results from studies in island systems will be overviewed. Moreover\, p
 redefined limits for renewable penetration and primary reserves are freque
 ntly set for dynamic security purposes. This approach might not ensure dyn
 amic security or can prove conservative in certain conditions. Furthermore
 \, these approaches rarely consider the capabilities of inverter based ren
 ewable generation to provide frequency services. In this presentation\, a 
 data driven approach\, based on optimal classification trees is described 
 to extract\, from a detailed dynamic model of the system\, the constraints
  for a frequency dynamic unit commitment formulation. Hence\, both dynamic
  security and optimal exploitation of renewable and conventional units for
  power production and frequency support can be achieved. The advantages of
  the proposed method compared to conventional and state of the art approac
 hes in frequency security are validated through dynamic simulations on a r
 ealistic model of Rhodes island. Its economic performance\, computational 
 overhead and modelling complexity is compared to alternative approaches.&lt;/
 span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 14pt\; line-height: 107%\; font-fami
 ly: Aptos\, sans-serif\;&quot;&gt;Despite the benefits however\, system operators 
 may be reluctant to embrace AI solutions\, as the models may be challengin
 g to interpret\, perceived as black boxes. Additional concerns may arise r
 egarding the adequacy of testing under realistic conditions. In the presen
 tation these concerns are addressed by introducing a digital twin designed
  for the realistic testing of dynamic security assessment applications in 
 the system of Rhodes. The developed digital twin incorporates two options 
 for the virtual model of the island: an interface with a commercial RMS/EM
 T software and a real time simulator together with an industrial under fre
 quency load shedding protection equipment. The settings of the actual fiel
 d devices on the island are tested through a hardware in the loop interfac
 e.&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;ul&gt;\n&lt;li&gt;&lt;strong&gt;Welcome and Speak
 er Introduction&lt;/strong&gt; &amp;ndash\; 3 minutes&lt;/li&gt;\n&lt;li&gt;&lt;strong&gt;Presentation
 &lt;/strong&gt; &amp;ndash\; Approximately 45 minutes&lt;/li&gt;\n&lt;li&gt;&lt;strong&gt;Q&amp;amp\;A Ses
 sion&lt;/strong&gt; &amp;ndash\; Approximately 10 minutes&lt;/li&gt;\n&lt;li&gt;&lt;strong&gt;Future W
 ebinar Announcement and Closing Remarks&lt;/strong&gt; &amp;ndash\; 2 minutes&lt;/li&gt;\n
 &lt;/ul&gt;
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