DocumentCode :
2550106
Title :
A power system risk assessment using bootstrap technique
Author :
Kasim, Siti Rohani ; Othman, Muhammad Murtadha ; Ghani, Nor Fadhilawati Abd ; Musirin, Ismail
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents the risk assessment of power system that takes into account the system failure indices and uncertainty of unavailable load variations estimated by using the bootstrap technique. The risk of the system is measured by using the expected energy not supplied (EENS) index as well as the probability of load curtailment (PLC). The bootstrap technique is a tool which provides simplest way to perform risk assessment of a power system. Furthermore, it also requires very little assumptions to carry-out the risk analysis and it is imperative for a small size of available information. The application of bootstrap technique is important to assess the risk indices at every level of system uncertainty. The IEEE 24-bus Reliability Test System (RTS) is used as a case study in the analysis of system risk severity based EENS and PLC. Comparative studies have been made on the risk assessment of the power system determined by using the bootstrap technique and fuzzy set.
Keywords :
fuzzy set theory; power system management; power system reliability; risk analysis; IEEE 24 bus reliability test system; bootstrap technique; expected energy not supplied index; fuzzy set; load curtailment probability; load variation; risk analysis; risk assessment; system failure; system uncertainty; Distribution functions; Equations; Mathematical model; Power transmission lines; Risk management; Uncertainty; Bootstrap technique; expected energy not supplied; probability of load curtailment; risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2010 International Conference on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-6623-8
Type :
conf
DOI :
10.1109/ICIAS.2010.5716135
Filename :
5716135
Link To Document :
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