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PRODID:IEEE vTools.Events//EN
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TZID:Europe/Copenhagen
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DTSTART:20140330T030000
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DTSTART:20131027T020000
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BEGIN:VEVENT
DTSTAMP:20140108T125017Z
UID:F00F979D-E5B6-11E7-833E-0050568D7F66
DTSTART;TZID=Europe/Copenhagen:20131217T150000
DTEND;TZID=Europe/Copenhagen:20131217T160000
DESCRIPTION:This talk proposes a novel model-predictive control scheme for 
 transmission-level operation\, which combines both economic and security o
 bjectives to mitigate the effects of line outages in electrical power syst
 ems. A linear convex relaxation of the AC power flow is employed to model 
 transmission line losses and conductor temperatures. Then\, a receding-hor
 izon model predictive control (MPC) strategy is developed to alleviate lin
 e temperature overloads and\, through feedback\, prevents the propagation 
 of outages. The MPC strategy to alleviate temperature overloads by resched
 uling generation\, energy storage\, and other network elements\, subject t
 o ramp-rate limits and network limitations. The MPC strategy is illustrate
 d with simulations of an augmented IEEE RTS-96 network with energy storage
  and renewable generation.\n\nLyngby\, Kobenhavns Amt\, Denmark
LOCATION:Lyngby\, Kobenhavns Amt\, Denmark
ORGANIZER:
SEQUENCE:0
SUMMARY:[Legacy Report] Linear model-predictive cascade mitigation in AC el
 ectric power systems with energy storage
URL;VALUE=URI:https://events.vtools.ieee.org/m/96661
X-ALT-DESC:Description: <br />This talk proposes a novel model-predictive c
 ontrol scheme for transmission-level operation\, which combines both econo
 mic and security objectives to mitigate the effects of line outages in ele
 ctrical power systems. A linear convex relaxation of the AC power flow is 
 employed to model transmission line losses and conductor temperatures. The
 n\, a receding-horizon model predictive control (MPC) strategy is develope
 d to alleviate line temperature overloads and\, through feedback\, prevent
 s the propagation of outages. The MPC strategy to alleviate temperature ov
 erloads by rescheduling generation\, energy storage\, and other network el
 ements\, subject to ramp-rate limits and network limitations. The MPC stra
 tegy is illustrated with simulations of an augmented IEEE RTS-96 network w
 ith energy storage and renewable generation.
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