BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Zurich
BEGIN:DAYLIGHT
DTSTART:20260329T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251026T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260209T084546Z
UID:8794F6C2-EF7A-4F94-ADF5-23CC752DD7D3
DTSTART;TZID=Europe/Zurich:20251112T100000
DTEND;TZID=Europe/Zurich:20251112T110000
DESCRIPTION:Power outages and transient disturbances caused by lightning st
 rikes can lead to severe economic and operational disruptions\, particular
 ly in regions with high ground flash density. The highly stochastic nature
  of lightning\, capable of driving voltages beyond insulation withstand le
 vels within microseconds\, necessitates advanced and efficient protection 
 strategies. Conventional mitigation relies on the installation of surge ar
 resters and shield wires\; however\, identifying an optimal configuration 
 that ensures maximum protection with minimal resources remains a complex m
 ulti-objective challenge. Another issue in numerically identifying and eva
 luating this optimal location is that traditional methodologies\, such as 
 the Monte Carlo simulation combined with heuristic algorithms like the Gen
 etic Algorithm\, require a prohibitively large number of simulations to ca
 pture the random behaviour of lightning events. To overcome this limitatio
 n\, this seminar presents a novel methodology that formulates the lightnin
 g protection design as a multi-objective optimization problem and integrat
 es Design of Experiments techniques\, specifically the Taguchi method\, wi
 thin a Decision Theory framework. The proposed Taguchi Multi-Area approach
  enables the efficient generation of representative scenarios through orth
 ogonal arrays\, drastically reducing computational effort while maintainin
 g accuracy comparable to Monte Carlo simulations. The methodology provides
  balanced trade-off solutions between lightning flashover rates and the co
 st of protective devices\, offering a practical\, data-driven\, and comput
 ationally efficient framework for optimizing lightning protection strategi
 es in complex power distribution networks.\n\nCo-sponsored by: EMC Lab EPF
 L\n\nSpeaker(s): Nagananthini Ravichandran\, \n\nPPH 325\, EPFL\, Lausanne
 \, Switzerland\, Switzerland\, 1015
LOCATION:PPH 325\, EPFL\, Lausanne\, Switzerland\, Switzerland\, 1015
ORGANIZER:mohammad.azadifar@epfl.ch
SEQUENCE:14
SUMMARY:Towards Adaptive and Efficient Optimization of Lightning Protection
  Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/512687
X-ALT-DESC:Description: <br /><blockquote>\n<div>\n<div dir="ltr">\n<div>Po
 wer outages and transient disturbances caused by lightning strikes can lea
 d to severe economic and operational disruptions\, particularly in regions
  with high ground flash density. The highly stochastic nature of lightning
 \, capable of driving voltages beyond insulation withstand levels within m
 icroseconds\, necessitates advanced and efficient protection strategies. C
 onventional mitigation relies on the installation of surge arresters and s
 hield wires\; however\, identifying an optimal configuration that ensures 
 maximum protection with minimal resources remains a complex multi-objectiv
 e challenge. Another issue in numerically identifying and evaluating this 
 optimal location is that traditional methodologies\, such as the Monte Car
 lo simulation combined with heuristic algorithms like the Genetic Algorith
 m\, require a prohibitively large number of simulations to capture the ran
 dom behaviour of lightning events. To overcome this limitation\, this semi
 nar presents a novel methodology that formulates the lightning protection 
 design as a multi-objective optimization problem and integrates Design of 
 Experiments techniques\, specifically the Taguchi method\, within a Decisi
 on Theory framework. The proposed Taguchi Multi-Area approach enables the 
 efficient generation of representative scenarios through orthogonal arrays
 \, drastically reducing computational effort while maintaining accuracy co
 mparable to Monte Carlo simulations. The methodology provides balanced tra
 de-off solutions between lightning flashover rates and the cost of protect
 ive devices\, offering a practical\, data-driven\, and computationally eff
 icient framework for optimizing lightning protection strategies in complex
  power distribution networks.</div>\n</div>\n</div>\n</blockquote>
END:VEVENT
END:VCALENDAR