Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems

✍ Scribed by O. Dzobo; C.T. Gaunt; R. Herman

• Book ID: 113644772
• Publisher: Elsevier Science
• Year: 2012
• Tongue: English
• Weight: 450 KB
• Volume: 37
• Category: Article
• ISSN: 0142-0615
• DOI: 10.1016/j.ijepes.2011.12.013

✦ Synopsis

The use of probability distribution functions to describe reliability-worth input parameters is fairly new compared to using average values. Reliability-worth indices of power systems are frequently calculated as average values and convey little information about risk. In this paper beta probability distribution function was used to model time-dependent customer interruption costs as an input parameter to reliability-worth analyses of power systems. Time-sequential Monte-Carlo simulation technique that can handle time dependence of the input parameters was employed in the analysis. The results revealed that more information can be derived from the reliability-worth indices when probability distributions are used to describe the reliability-worth input and output parameters.