DocumentCode :
41914
Title :
Accelerated State Evaluation and Latin Hypercube Sequential Sampling for Composite System Reliability Assessment
Author :
Zhen Shu ; Jirutitijaroen, Panida ; da Silva, Armando M. Leite ; Singh, Chaman
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Volume :
29
Issue :
4
fYear :
2014
fDate :
Jul-14
Firstpage :
1692
Lastpage :
1700
Abstract :
This paper proposes improvements in the sequential Monte Carlo (MC) simulation based approaches for reliability evaluation of composite generation and transmission systems. The main idea is to compute a threshold load level to facilitate the process of state evaluation, which is very time-consuming mainly due to optimal power flow computations. Two main sampling techniques namely random sampling (RS) and Latin Hypercube sampling (LHS) are applied to the proposed sequential MC simulation technique. Their performances in terms of simulation time as well as solution accuracy are compared. Case studies using the IEEE Reliability Test System (IEEE RTS) are utilized to demonstrate the performance of the proposed approach. Reliability indices including loss of load probability, expected unserved energy, loss of load frequency and duration are estimated. It is shown that the proposed approach considerably reduces the computational requirements during state evaluation, and that the application of LHS can further decrease the simulation time and required sample size to reach convergence.
Keywords :
Monte Carlo methods; convergence; load flow; power generation reliability; power transmission reliability; sampling methods; IEEE RTS; IEEE reliability test system; LHS; Latin hypercube sequential sampling; MC simulation; RS; accelerated state evaluation; composite generation systems; composite system reliability assessment; convergence; expected unserved energy; load duration; load frequency; load probability; optimal power flow computations; random sampling; reliability indices; sequential Monte Carlo simulation based approaches; threshold load level; transmission systems; Computational modeling; Indexes; Interconnected systems; Load modeling; Power system reliability; Reliability; Vectors; Composite system reliability evaluation; Latin hypercube sampling; Monte Carlo simulation; power system reliability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2013.2295113
Filename :
6695795
Link To Document :
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