Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 110-116 |
| Number of pages | 7 |
| Journal | International Journal of Electrical Power and Energy Systems |
| Volume | 37 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - May 2012 |
| Externally published | Yes |
Keywords
- Business customers
- Customer interruption costs
- Probability distribution function
- Reliability-worth
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering