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DTSTAMP:20240306T123601Z
UID:6F6D7ACE-69EC-46CD-AEFB-D5361550E575
DTSTART;TZID=Europe/Copenhagen:20240305T140000
DTEND;TZID=Europe/Copenhagen:20240305T170000
DESCRIPTION:Have you ever considered the broader implications of installing
  a PV-battery in your home or using an electric vehicle for daily commutes
 ? While these changes might save on your monthly bills\, they also have pr
 ofound effects on our power systems. Electric vehicles\, PVs\, heat pumps\
 , and other elements collectively form what we term as distributed energy 
 resources (DER). But is the surge in DER integration a boon or bane for th
 e power network? The answer is: both. Without strategic integration\, DERs
  can lead to excessive consumption or generation\, resulting in network co
 ngestion. However\, when DERs are controlled and coordinated\, they can en
 hance the system&#39;s flexibility. From a market standpoint\, DERs supply fle
 xibility services\, and the distribution system operator (DSO) compensates
  for this service to mitigate congestion.\n\nThis research aims to aid the
  DSO in navigating challenges related to network congestion. The work delv
 es into estimating the network state for nodes lacking measurements\, pinp
 ointing available system flexibility\, and evaluating the impacts of flexi
 bility services on network states. The study not only enhances estimation 
 accuracy in networks with limited observability but also introduces a nove
 l tool for DSOs to identify system flexibility at the substation level. Ad
 ditionally\, the research formulates a framework to understand the effects
  of capacity limitation services. The interaction between DER and DSO is p
 ivotal\, especially when the efficacy of flexibility services is occasiona
 lly constrained by DER availability or capacity\, failing to meet DSO&#39;s ex
 pectations.\n\nWith the rising wave of digitization and DER integration\, 
 this research explores the ingenious utilization of DER to maintain power 
 system security within the energy sector. Backed by real-world datasets an
 d industrial network models\, simulation results authenticate the findings
 .\n\nThe presented thesis is intended for both academic and industry audie
 nces. Academics can derive insights from the cross-disciplinary literature
  analysis and the practical application of power system modeling analysis.
  Meanwhile\, industry professionals can contemplate the significance of fl
 exibility services during network congestion and gauge the implications of
  system flexibility amid the evolution of power systems.\n\nSpeaker(s): Zh
 e Chen\n\nVirtual: https://events.vtools.ieee.org/m/409535
LOCATION:Virtual: https://events.vtools.ieee.org/m/409535
ORGANIZER:tweck@dtu.dk
SEQUENCE:3
SUMMARY:PhD Defense - Zhe Chen - Integration of cost-based active managemen
 t in distribution networks planning and operation
URL;VALUE=URI:https://events.vtools.ieee.org/m/409535
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Have you ever considered the broader impli
 cations of installing a PV-battery in your home or using an electric vehic
 le for daily commutes? While these changes might save on your monthly bill
 s\, they also have profound effects on our power systems. Electric vehicle
 s\, PVs\, heat pumps\, and other elements collectively form what we term a
 s distributed energy resources (DER). But is the surge in DER integration 
 a boon or bane for the power network? The answer is: both. Without strateg
 ic integration\, DERs can lead to excessive consumption or generation\, re
 sulting in network congestion. However\, when DERs are controlled and coor
 dinated\, they can enhance the system&#39;s flexibility. From a market standpo
 int\, DERs supply flexibility services\, and the distribution system opera
 tor (DSO) compensates for this service to mitigate congestion.&lt;/p&gt;\n&lt;p&gt;&lt;br
 &gt;This research aims to aid the DSO in navigating challenges related to net
 work congestion. The work delves into estimating the network state for nod
 es lacking measurements\, pinpointing available system flexibility\, and e
 valuating the impacts of flexibility services on network states. The study
  not only enhances estimation accuracy in networks with limited observabil
 ity but also introduces a novel tool for DSOs to identify system flexibili
 ty at the substation level. Additionally\, the research formulates a frame
 work to understand the effects of capacity limitation services. The intera
 ction between DER and DSO is pivotal\, especially when the efficacy of fle
 xibility services is occasionally constrained by DER availability or capac
 ity\, failing to meet DSO&#39;s expectations.&lt;/p&gt;\n&lt;p&gt;With the rising wave of 
 digitization and DER integration\, this research explores the ingenious ut
 ilization of DER to maintain power system security within the energy secto
 r. Backed by real-world datasets and industrial network models\, simulatio
 n results authenticate the findings.&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;The presented thesis is i
 ntended for both academic and industry audiences. Academics can derive ins
 ights from the cross-disciplinary literature analysis and the practical ap
 plication of power system modeling analysis. Meanwhile\, industry professi
 onals can contemplate the significance of flexibility services during netw
 ork congestion and gauge the implications of system flexibility amid the e
 volution of power systems.&lt;/p&gt;
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