BB-BC-CG Algorithm for Operational Reliability Modeling of Hydro Generator Groups

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• 作者：Cristina Hora^a ; Dinu Călin Secui^a ; Gabriel Bendea^a ; Simona Dzitac^a ; ^b ; ^{simona@dzitac.ro" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Operational Reliability ; Optimization ; Big Bang-Big Crunch algorithm
• 刊名：Procedia Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：91
• 期：Complete
• 页码：1088-1095
• 全文大小：149 K

文摘

This article aims to identify the best distribution functions of random variables: Time Between Failures (TBF) and Time To Repair (TTR) for hydro generator groups equipped with Francis turbines. Distribution functions tested in this study are those commonly used in the energy field: the exponential distribution, Weibull distribution and normal distribution. The distributions identification is done using a hybrid algorithm (abbreviated BB-BC-CG) which results from combining Big Bang Big Crunch (BB-BC) algorithm, with Conjugate Gradient algorithm (CG) existing in the optimization tools of MathCAD software. After the distributions identification a statistic testing is performed using the Kolmogorov-Smirnov test. In the final, the paper includes a case study on parameter estimation of deemed distributions based on data collected over an operating period of ten years for hydro generator groups from a hydro power plant.

The identified distributions can be used to analyze the predictive reliability.