DocumentCode
2610923
Title
Monte Carlo based Maintenance Resource Allocation Considering Vulnerability
Author
Sheng, Su ; Li, K.K. ; Chan, W.L. ; Xiangjun, Zeng ; Xianzhong, Duan
Author_Institution
Dept. of Electr. Eng., Changsha Univ. of Sci. & Technol.
fYear
2005
fDate
2005
Firstpage
1
Lastpage
5
Abstract
In complex interconnected electrical power grids, there are some minor incident may trigger cascading collapse and blackout of large portions of the grid. Component and hidden failure have been proved to play an important role in the cascading collapse. Adequate maintenance of power units may lower the probability of mis-operation and component failure of protection system and prevent the propagation of the fault to develop into a cascading collapse. In this paper, a simple cascading collapse model is proposed to allocate vulnerable portion of the protection system and optimize allocation of maintenance resource using Monte Carlo simulation. Numerical examples on Huazhong power networks are given to illustrate how the model can be used for maintenance resource allocation and protection system enhancements to reduce vulnerabilities
Keywords
Monte Carlo methods; maintenance engineering; power grids; power system faults; power system interconnection; power system protection; power system reliability; Huazhong power networks; Monte Carlo simulation; cascading collapse model; complex interconnected electrical power grids; component failure; fault propagation prevention; hidden failure; maintenance resource allocation; protection system; reliability analysis; vulnerability; Councils; Monte Carlo methods; Power grids; Power system faults; Power system modeling; Power system protection; Power system relaying; Protective relaying; Relays; Resource management; Maintenance; Monte Carlo Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location
Dalian
Print_ISBN
0-7803-9114-4
Type
conf
DOI
10.1109/TDC.2005.1546781
Filename
1546781
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