پديد آورنده :
دائمي، طاهره
عنوان :
استفاده از شبكه بيزي جهت ارزيابي قابليت اطمينان و رتبه بندي اهميت عناصر در سيستم هاي قدرت مركب
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
هفده،190ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
اكبر ابراهيمي
استاد مشاور :
محمود فتوحي فيروزآباد
تاريخ نمايه سازي :
3/8/91
استاد داور :
محمدصادق قاضي زاده، غلامرضا يوسفي، صفيه محمودي
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID468 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Implementation of Bayesian Network for Reliability Evaluation and Components Importance Ranking in Composite Power Systems Tahere Daemi t daemi@yahoo com May 16 2012 Department of Electrical and Computer EngineeringIsfahan University of Technology Isfahan 84156 83111 IranSupervisor Akbar Ebrahimi ebrahimi@cc iut ac irAdvisor Mahmud Fotuhi Firuzabad fotuhi@sharif eduDeprtment Graduate Program Coordinator Amir Borji Department of Electrical Computer Engineering Isfahan University of Technology Isfahan Iran Department of Electrical Engineering Sharif University of Technology Tehran IranAbstractIn this dissertation Bayesian Network BN is used for reliability assessment of compositepower systems with emphasis on importance evaluation of system components A simpleapproach is presented to construct the BN associated with a given power system Theapproach is based on the capability of the BN to learn from data which makes it possible tobe applicable to large power systems The required training data is provided by statesampling using the Monte Carlo simulation The constructed BN is then used to performdifferent probabilistic assessments such as ranking the criticality and importance of systemcomponents from reliability perspective The BN is also used to compute the frequencyand duration based indices without time sequential simulation based inferences Theproposed approach provides the possibility of assessing the components importance inview of different load points The proposed BN framework is also extended to evaluate reliability energy indices and toachieve a more comprehensive BN model the approach to consider the weather conditionsin the BN is also presented KeywordsReliability Reliability Importance Measures Bayesian Network Monte Carlo simulation IntroductionThe common purpose of power system reliability studies is to provide probabilisticanalysis to determine various reliability indices to evaluate the adequacy of power systemin supplying the total load However analyzing the effect of individual components insystem reliability and ranking is also of high importance for a variety of operational andplanning activities such as determining the background of outages system reinforcement maintenance scheduling and expansion planning and so on all performed to improvesystem reliability The system components have different importance levels from various aspects To quantifycomponents importance different Importance Measures IM are presented and to estimatethem analytical and simulation based approaches are used However for complex systemssuch as electric composite power systems containing generation and transmission systems using the analytical approaches necessitates obtaining the system reliability function in
استاد راهنما :
اكبر ابراهيمي
استاد مشاور :
محمود فتوحي فيروزآباد
استاد داور :
محمدصادق قاضي زاده، غلامرضا يوسفي، صفيه محمودي
