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DTSTAMP:20250404T125806Z
UID:0D9CD9C1-48F3-4C6A-90EF-BA104A8F012B
DTSTART;TZID=America/Indiana/Indianapolis:20250327T120000
DTEND;TZID=America/Indiana/Indianapolis:20250327T130000
DESCRIPTION:The IEEE Central Indiana Joint PES/PELS/IAS Chapter is excited 
 to host Dr. Zhaoyu Wang\, a Full Professor from Iowa State University\, fo
 r a PES seminar on big data analytics in power distribution grids. Attende
 es will have the opportunity to gain valuable insights from an industry ex
 pert\, enjoy free pizza\, and earn 1 PDH. Don&#39;t miss this excellent chance
  to learn and engage in discussions with a leading professional in the fie
 ld!\n\nAbstract: Recent years have seen a dramatic growth of smart sensors
  in power distribution grids. The new sensing capabilities\, offered by sm
 art meters\, micro-phasor measurement units\, and SCADA\, have extended ut
 ilities’ visibility to grid edges. However\, the power industry faces ne
 w challenges in managing the massive amount of data and extracting useful 
 and actionable information from the measurements. This talk will present a
  few use cases of distribution grid data. The first one is using SCADA dat
 a for measurement and verification (M&amp;V) of the energy saving effect of co
 nservation voltage reduction (CVR). The work is based on a recently publis
 hed IEEE Standard P3102 CVR Data Collection and Management Procedures. The
  second one is using various outage records to quantify grid resilience an
 d provide metrics to guide planning and operation. The third one is using 
 smart meter data to develop a model-free framework for dynamic solar hosti
 ng capacity analysis.\n\nSpeaker(s): Zhaoyu\n\nAgenda: \n11:45 - 12:00 pm:
  Sign in and pick up the food\n\n12:00 - 12:55 pm: Lecture\n\n12:55 - 13:0
 0 pm: Q&amp;A\n\nRoom: Safety Room (1st floor)\, Bldg: AES Indiana Operation C
 enter\, 1230 W Morris St\, Indianapolis\, Indiana\, United States\, 46221\
 , Virtual: https://events.vtools.ieee.org/m/470303
LOCATION:Room: Safety Room (1st floor)\, Bldg: AES Indiana Operation Center
 \, 1230 W Morris St\, Indianapolis\, Indiana\, United States\, 46221\, Vir
 tual: https://events.vtools.ieee.org/m/470303
ORGANIZER:xuan.wu@aes.com
SEQUENCE:30
SUMMARY:PES Seminar: Big Data Analytics in Distribution Grids - CVR Assessm
 ent\, Resilience Quantification\, and Hosting Capacity Analysis
URL;VALUE=URI:https://events.vtools.ieee.org/m/470303
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;The IEEE Central Indiana Joint PES
 /PELS/IAS Chapter is excited to host Dr. Zhaoyu Wang\, a Full Professor fr
 om Iowa State University\, for a PES seminar on big data analytics in powe
 r distribution grids. Attendees will have the opportunity to gain valuable
  insights from an industry expert\, enjoy free pizza\, and earn 1 PDH. Don
 &#39;t miss this excellent chance to learn and engage in discussions with a le
 ading professional in the field!&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Abstract: &lt;/stro
 ng&gt;Recent years have seen a dramatic growth of smart sensors in power dist
 ribution grids. The new sensing capabilities\, offered by smart meters\, m
 icro-phasor measurement units\, and SCADA\, have extended utilities&amp;rsquo\
 ; visibility to grid edges. However\, the power industry faces new challen
 ges in managing the massive amount of data and extracting useful and actio
 nable information from the measurements. This talk will present a few use 
 cases of distribution grid data. The first one is using SCADA data for mea
 surement and verification (M&amp;amp\;V) of the energy saving effect of conser
 vation voltage reduction (CVR). The work is based on a recently published 
 IEEE Standard P3102 CVR Data Collection and Management Procedures. The sec
 ond one is using various outage records to quantify grid resilience and pr
 ovide metrics to guide planning and operation. The third one is using smar
 t meter data to develop a model-free framework for dynamic solar hosting c
 apacity analysis.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;11:45 - 12:00 pm: Sign i
 n and pick up the food&lt;/p&gt;\n&lt;p&gt;12:00 - 12:55 pm: Lecture&lt;/p&gt;\n&lt;p&gt;12:55 - 1
 3:00 pm: Q&amp;amp\;A&lt;/p&gt;
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