DocumentCode :
3446910
Title :
Cascade mitigation in energy hub networks
Author :
Almassalkhi, Mads ; Hiskens, Ian
Author_Institution :
Dept. of Electr. Eng.: Syst., Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
2181
Lastpage :
2188
Abstract :
The paper establishes a formulation for energy hub networks that is consistent with mixed-integer quadratic programming problems. Line outages and cascading failures can be considered within this framework. Power flows across transmission lines and pipelines are compared with flow bounds, and tripped when violations occur. The outaging of lines is achieved using a mixed-integer disjunctive model. A model predictive control (MPC) strategy is developed to mitigate cascading failures, and prevent propagation of outages from one energy-carrier network to another. The MPC strategy seeks to alleviate overloads by adjusting generation and storage schedules, subject to ramp-rate limits and governor action. If overloads cannot be eliminated by rescheduling alone, MPC determines the minimum amount of load that must be shed to restore system integrity. The MPC strategy is illustrated using a small 12 hub network and a much larger network that includes 132 energy hubs.
Keywords :
integer programming; load flow control; pipelines; power generation scheduling; power system reliability; power transmission lines; predictive control; quadratic programming; MPC strategy; cascade mitigation; cascading failures; energy hub networks; energy-carrier network; flow bounds; generation schedules; governor action; line outages; minimum amount; mixed-integer disjunctive model; mixed-integer quadratic programming problems; model predictive control strategy; outage propagation prevention; pipelines; power flows; ramp-rate limits; storage schedules; system integrity; transmission lines; Generators; Load modeling; Natural gas; Power system faults; Real time systems; Resistance heating; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6161484
Filename :
6161484
Link To Document :
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