Title :
Composite system reliability analysis using an accelerated state evaluation considering bus load correlation
Author :
Zhen Shu ; Jirutitijaroen, Panida
Author_Institution :
Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
This paper presents an accelerated state evaluation (ASE) in sequential simulation for composite system reliability analysis, with the consideration of bus load correlation. The ASE computes a threshold load level at each sampled component state and uses it to identify load-loss states efficiently. As such, the number of load curtailment computations involving optimal power flow can be greatly reduced to achieve higher simulation efficiency. The ASE is developed for systems with and without correlated bus loads. Case studies are performed to demonstrate its performances, where reliability indices - loss of load probability, expected unserved energy, loss of load frequency and duration are obtained. Results on IEEE Reliability Test System (IEEE RTS) show that compared to conventional approach, ASE leads to considerably higher computing efficiency while achieving solutions of similar quality. It is also found from an extreme case that if system loads exhibit independency, the applicability of ASE might be restricted for some intensively stressed systems.
Keywords :
load flow; power system reliability; probability; ASE; IEEE RTS; IEEE reliability test system; accelerated state evaluation; bus load correlation; composite system reliability analysis; load curtailment computations; load frequency loss; load probability loss; load-loss states; optimal power flow; reliability indices; sampled component state; sequential simulation; Computational modeling; Indexes; Interconnected systems; Load flow; Load modeling; Reliability; Vectors; Monte Carlo simulation; Power system reliability analysis; composite systems; correlation; sequential sampling;
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
DOI :
10.1109/PMAPS.2014.6960624