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SUMMARY:IEM special seminar series in energy storage systems: Decision-mak
 ing with Reliability Guarantees under Renewable Energy Uncertainty
DTSTART:20220323T140000
DTEND:20220323T150000
DTSTAMP:20260920T164829Z
UID:d7c71553de99df6730a534d1c485d845b91c513b9941c123b5f2a889
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Maria Vrakopoulou (Lecturer\, The University of Melbourne\
 , Australia)\nAbstract: Renewable Energy Sources (RES) offer environmental
 ly friendly\, sustainable\, and cheap energy. However\, RES power generati
 on (such as wind and solar power) is characterized by high variability and
  uncertainty that may negatively impact power system reliability. Installa
 tions of energy storage systems (ESSs)\, such as batteries\, fuel cells an
 d thermal energy storage\, can play a significant role in RES integration 
 as their fast response and flexible consumption/generation over time could
  alleviate the aforementioned challenge. Given the massive growth of RES i
 nstallations\, there is a need to determine the most appropriate reinforce
 ment and operational decisions for economic and reliable power systems. Se
 veral decision-making methodologies incorporate uncertainty in a robust wa
 y\, using assumptions on the uncertainty probability distribution or heuri
 stically chosen sets of uncertainty scenarios. However\, such methodologie
 s may result in conservative and unreliable solutions.\n\nThis talk will p
 resent a framework for chance-constrained reformulation of grid planning a
 nd operation problems to account for RES uncertainty. The chance-constrain
 ed problem is solved by utilizing data-based optimization techniques that 
 provide solutions with probabilistic guarantees without relying on underly
 ing distributions of the uncertainty. The proposed framework offers soluti
 ons with reliability guarantees and a tunable tradeoff between operational
  cost and reliability levels. A key aspect is the utilization of control p
 olicies that take the form of piecewise affine functions of the uncertaint
 y and represent an adaptive control of flexible resources. The latter achi
 eves both lower operational cost and higher allowable RES penetration. Ene
 rgy and reserve scheduling reformulations will be discussed with examples 
 that consider a variety of flexible components\, including thermostaticall
 y controlled loads with battery-type dynamics. The talk will also consider
  an optimal capacity design problem for islanded multi-energy hubs that in
 clude various types of ESS and RES. The presentation will conclude with a 
 discussion of extensions that enable future decision-making schemes for di
 stribution systems that are rich in distributed energy resources such as s
 olar power and ESS.\n\nBio: Maria Vrakopoulou is a Lecturer in the Power a
 nd Energy System group at the Department of Electrical and Electronic Engi
 neering at the University of Melbourne. She received her diploma in Electr
 ical and Computer Engineering from the University of Patras\, Greece in Ma
 y 2008\, and her Ph.D. degree from the Department of Electrical Engineerin
 g and Information Technology\, at ETH Zurich\, Switzerland in June 2014. D
 r. Vrakopoulou pursued her research as a post-doc in the University of Mic
 higan\, Ann Arbor\, MI\, USA for a year\, and then she earned a 3-year Mar
 ie Curie fellowship award to continue her post-doctoral research in the Un
 iversity of California\, Berkeley\, CA\, USA\, and ETH Zurich\, Switzerlan
 d. Her research interests concentrate on the optimization and analysis of 
 planning and operation problems for power systems under renewable generati
 on uncertainty.\n 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202 https://epfl.zoom.u
 s/j/67478164794
STATUS:CONFIRMED
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