DocumentCode :
1795489
Title :
Dynamic maintenance scheduling for power systems incorporating hurricane effects
Author :
Arab, Ali ; Tekin, Eylem ; Khodaei, Amin ; Khator, Suresh K. ; Zhu Han
Author_Institution :
Dept. of Ind. Eng., Univ. of Houston, Houston, TX, USA
fYear :
2014
fDate :
3-6 Nov. 2014
Firstpage :
85
Lastpage :
90
Abstract :
An effective preventive maintenance program plays a critical role in improving the reliability of electric power systems. In this paper, the impact of potential damage due to hurricane is incorporated in the power system maintenance scheduling problem. The proposed model considers component deterioration, as well as two competing and independent failure modes, i.e., failure due to loss of reliability and failure due to hurricane damages. Furthermore, the interrelationship between the component, the grid, and the associated downtime cost dynamics are incorporated in the problem. The downtime cost of the power system due to component outage is formulated using mixed-integer programming. The obtained downtime cost is used in a stochastic dynamic programming model to derive the optimal maintenance policy for the component.
Keywords :
disasters; electrical maintenance; integer programming; power system reliability; preventive maintenance; stochastic programming; storms; component outage; downtime cost; dynamic maintenance scheduling; hurricane effects; independent failure modes; mixed integer programming; optimal maintenance policy; power system maintenance scheduling; power system reliability; preventive maintenance program; stochastic dynamic programming; Equations; Hurricanes; Mathematical model; Power transmission lines; Preventive maintenance; Asset management; grid resiliency; hurricane planning; power infrastructure; preventive maintenance; stochastic dynamic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
Conference_Location :
Venice
Type :
conf
DOI :
10.1109/SmartGridComm.2014.7007627
Filename :
7007627
Link To Document :
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