Application of clustering technique to generating capacity state model for reliability evaluation
Nourbakhsh, Ghavameddin, Billinton, Roy, Khan, Easin, & Shannon, G. F. (1993) Application of clustering technique to generating capacity state model for reliability evaluation. In IPEC '93, Singapore.
Capacity probability models of generating units are commonly used in many power system reliability studies, at hierarchical level one (HLI). Analytical modelling of a generating system with many units or generating units with many derated states in a system, can result in an extensive number of states in the capacity model. Limitations on available memory and computational time of present computer facilities can pose difficulties for assessment of such systems in many studies. A cluster procedure using the nearest centroid sorting method was used for IEEE-RTS load model. The application proved to be very effective in producing a highly similar model with substantially fewer states. This paper presents an extended application of the clustering method to include capacity probability representation. A series of sensitivity studies are illustrated using IEEE-RTS generating system and load models. The loss of load and energy expectations (LOLE, LOEE), are used as indicators to evaluate the application
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|Item Type:||Conference Paper|
power system analysis computing
loss of load expectation
loss of energy expectation
generating capacity state model
power system reliability
hierarchical level one
nearest centroid sorting method
|Keywords:||power generation, planning, power system, probability, Clustering, Reliability|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Electrical and Electronic Engineering not elsewhere classified (090699)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||11 Feb 2013 04:40|
|Last Modified:||11 Feb 2013 04:40|
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