Bayesian Algorithms for Calculating Symbolic Rates of the Unreliability and Reliability of the Electric Supply
The report presents the use of Bayesian networks in the calculation of symbolic indicators of reliability and unreliability of the electric power supplying load point. The calculation of indicators of reliability is determined by the analytical dependencies. These dependencies are used to estimate:...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ENERGA SA
2013-12-01
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| Series: | Acta Energetica |
| Subjects: | |
| Online Access: | http://actaenergetica.org/en/articles/acta-energetica-no-042013/bayesian-algorithms-for-calculating-symbolic-rates-of-the-unreliability-and-reliability-of-the-electric-supply/ |
| Summary: | The report presents the use of Bayesian networks in the calculation of symbolic indicators of reliability and unreliability of the electric power supplying load point. The calculation of indicators of reliability is determined by the analytical dependencies. These dependencies are used to estimate: probability of up or down state of power system components supplying the load point; total probability distribution; conditional probabilities of the state power or lack of power appearance; the intensity of current interruptions and the average time of their duration; contributions of individual power system components in the service reliability. This report describes how to obtain these analytical dependencies, using the ultimate application for symbolic computations
Mathematica (ver. 8). In this paper we will discuss the results of the symbolic computations
for selected supply power system and methods for reducing the duration of
symbolic computations of indicators for multiple-compound electrical power systems. |
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| ISSN: | 2300-3022 |