Please use this identifier to cite or link to this item:
|Title:||Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization||Authors:||Wang, L.
|Issue Date:||2007||Citation:||Wang, L., Singh, C., Tan, K.C. (2007). Reliability evaluation of power-generating systems including time-dependent sources based on binary particle swarm optimization. 2007 IEEE Congress on Evolutionary Computation, CEC 2007 : 3346-3352. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2007.4424904||Abstract:||Reliability evaluation of power generation systems using probabilistic methods has drawn much attention due to their capacity to account for system uncertainties. However, because of the large number of possible failure states involved in the power system, it is normally not viable to exhaustively enumerate and evaluate all the states which may contribute to system failure. Meanwhile, time-dependent sources such as wind turbine generators are being more significantly integrated into the traditional power grid for cleaner power generation. The intermittency of wind power sources further complicates the reliability evaluation process. In this paper, a binary particle swarm optimization (BPSO) is adopted to derive a set of meaningful system states, which significantly affects the adequacy indices of generation system including loss of load expectation (LOLE), loss of load frequency (LOLF), and expected energy not supplied (EENS). A numerical example is used to verify the applicability and validity of the proposed population-based intelligent search (PIS) based evaluation procedure. Especially, a comparative study in relation to the exact method and Monte Carlo simulation (MCS) is carried out. © 2007 IEEE.||Source Title:||2007 IEEE Congress on Evolutionary Computation, CEC 2007||URI:||http://scholarbank.nus.edu.sg/handle/10635/84133||ISBN:||1424413400||DOI:||10.1109/CEC.2007.4424904|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 4, 2021
WEB OF SCIENCETM
checked on Mar 4, 2021
checked on Feb 28, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.