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PRODID:IEEE vTools.Events//EN
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TZID:Australia/Melbourne
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DTSTART:20251005T030000
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BEGIN:VEVENT
DTSTAMP:20250722T063536Z
UID:8DD46A6B-A887-466E-9F31-0610D7F16C1B
DTSTART;TZID=Australia/Melbourne:20250722T150000
DTEND;TZID=Australia/Melbourne:20250722T160000
DESCRIPTION:This presentation explores the validation of AEMO’s dynamic m
 odels for Distributed Photovoltaics (DPV) and Composite Load (CMLD)\, usin
 g major real-world power system disturbances from early 2024 as reference 
 points. It presents an evaluation of the DERAEMO1 and CMLD models within P
 SS®E\, focusing on their ability to replicate load shake-off\, transient 
 responses\, and operational demand swings following disturbances and durin
 g periods of high DPV penetration. Through comparisons with traditional ZI
 P load models\, the presentation highlights significant improvements in bo
 th transient and steady-state accuracy. Key topics covered include model v
 alidation\, impact of DPV penetration on operational demand swings\, and t
 he role of these models in strengthening power system planning and operati
 onal assessments.\n\nVirtual: https://events.vtools.ieee.org/m/492043
LOCATION:Virtual: https://events.vtools.ieee.org/m/492043
ORGANIZER:lin.guo@aemo.com.au
SEQUENCE:340
SUMMARY:The validation of dynamic power system models for Distributed Photo
 voltaics (DPV) and Composite Load (CMLD)
URL;VALUE=URI:https://events.vtools.ieee.org/m/492043
X-ALT-DESC:Description: <br /><p class="m-7949566167547853334m6746849377366
 853195xmsonormal"><span style="color: blue\;">This presentation explores t
 he validation of AEMO&rsquo\;s dynamic models for Distributed Photovoltaic
 s (DPV) and Composite Load (CMLD)\, using major real-world power system di
 sturbances from early 2024 as reference points. It presents an evaluation 
 of the DERAEMO1 and CMLD models within PSS&reg\;E\, focusing on their abil
 ity to replicate load shake-off\, transient responses\, and operational de
 mand swings following disturbances and during periods of high DPV penetrat
 ion. Through comparisons with traditional ZIP load models\, the presentati
 on highlights significant improvements in both transient and steady-state 
 accuracy. Key topics covered include model validation\, impact of DPV pene
 tration on operational demand swings\, and the role of these models in str
 engthening power system planning and operational assessments.</span></p>
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