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DTSTART:20251102T010000
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DTSTAMP:20250708T203230Z
UID:9757BE41-4485-4809-AFD4-3BD2CA2B9D1A
DTSTART;TZID=America/Los_Angeles:20250616T110000
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DESCRIPTION:Electrical power systems are undergoing unprecedented changes\,
  mainly driven by decarbonisation targets and climate change\, as well as 
 other technical\, economic\, and social reasons. This leads to the integra
 tion of new technologies such as renewable generation\, electric vehicles\
 , HVDC links\, etc. These devices are mostly connected via power electroni
 cs with very different dynamic behaviour\, leading to increasing complexit
 y of power system dynamics. In addition\, uncertainty is also increasing d
 ue to the intermittent nature of renewable generation\, but also because o
 f how society will use energy on the way to decarbonization (e.g.\, electr
 ification of transport or possibly heating). At the same time\, advanced m
 easurement and communication infrastructure are being integrated into mode
 rn power systems. Such technologies\, especially coupled with machine lear
 ning\, offer opportunities for advanced situational awareness\, decision s
 upport tools\, and automated control methods.\n\nThis presentation will hi
 ghlight the challenges faced in future power systems with high penetration
  of converter-connected units\, in terms of their dynamic behaviour\, and 
 discuss methods and tools to tackle them. The talk will mainly address the
  question of how we characterize the complex and uncertain dynamic behavio
 ur in power systems with high converter penetration\, and how this can be 
 affected by different control structures. Probabilistic stability assessme
 nt methods to quantify the impact and characterize new types of oscillator
 y interactions of power systems with converter-connected units will be dis
 cussed\, including the behaviour of oscillations in the sub-synchronous ra
 nge. In addition\, a view on how to define system strength associated with
  small-signal dynamics will also be discussed.\n\nCo-sponsored by: Univers
 ity of California Riverside\n\nSpeaker(s): Dr. Panagiotis Papadopoulos\, \
 n\nVirtual: https://events.vtools.ieee.org/m/486960
LOCATION:Virtual: https://events.vtools.ieee.org/m/486960
ORGANIZER:mail@maxcherubin.com
SEQUENCE:19
SUMMARY:Navigating Small-Signal Instability in Converter-Dominated Power Sy
 stems
URL;VALUE=URI:https://events.vtools.ieee.org/m/486960
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justi
 fy\;&quot;&gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 14pt\;&quot;&gt;Electrical power system
 s are undergoing unprecedented changes\, mainly driven by decarbonisation 
 targets and climate change\, as well as other technical\, economic\, and s
 ocial reasons. This leads to the integration of new technologies such as r
 enewable generation\, electric vehicles\, HVDC links\, etc. These devices 
 are mostly connected via power electronics with very different dynamic beh
 aviour\, leading to increasing complexity of power system dynamics. In add
 ition\, uncertainty is also increasing due to the intermittent nature of r
 enewable generation\, but also because of how society will use energy on t
 he way to decarbonization (e.g.\, electrification of transport or possibly
  heating). At the same time\, advanced measurement and communication infra
 structure are being integrated into modern power systems. Such technologie
 s\, especially coupled with machine learning\, offer opportunities for adv
 anced situational awareness\, decision support tools\, and automated contr
 ol methods.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justify\;&quot;
 &gt;&lt;span lang=&quot;EN-GB&quot; style=&quot;font-size: 14pt\;&quot;&gt;This presentation will highl
 ight the challenges faced in future power systems with high penetration of
  converter-connected units\, in terms of their dynamic behaviour\, and dis
 cuss methods and tools to tackle them. The talk will mainly address the qu
 estion of how we characterize the complex and uncertain dynamic behaviour 
 in power systems with high converter penetration\, and how this can be aff
 ected by different control structures. Probabilistic stability assessment 
 methods to quantify the impact and characterize new types of oscillatory i
 nteractions of power systems with converter-connected units will be discus
 sed\, including the behaviour of oscillations in the sub-synchronous range
 . In addition\, a view on how to define system strength associated with sm
 all-signal dynamics will also be discussed.&lt;/span&gt;&lt;/p&gt;
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