شماره راهنما :
1218 دكتري
پديد آورنده :
نمازي اصفهاني، محمد مسعود
عنوان :
مدل سازي و بهبود عملكرد ديناميكي ريزشبكه هايDC مبتني بر ژنراتور سوئيچ رلكتانس
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
هشت، [۱۱۶]ص.: مصور، جدول، نمودار
استاد راهنما :
مرتضي سقائيان نژاد
استاد مشاور :
احمدرضا تابش
توصيفگر ها :
ژنراتور سوئيچ رلكتانس , كنترل مبتني بر پسيويتي , بار توان ثابت , توربين بادي , ريز شبكه DC
استاد داور :
حميدرضا كارشناس، بهزاد ميرزائيان، محمد عطائي
تاريخ ورود اطلاعات :
1397/06/04
رشته تحصيلي :
برق و كامپيوتر
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID1218 دكتري
چكيده انگليسي :
Modeling and Dynamic Performance Improvement of Switched Reluctance Generator based DC Microgrids Mohammad Masoud Namazi Esfahani mm namazi@ec iut ac ir June 9 2018 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Supervisor Prof Sayed Morteza Saghaian Nejad saghaian@cc iut ac ir Advisor Assoc Prof Ahmadreza Tabesh Department Graduate Program Coordinator Prof Mohammad Reza Taban Department of Electrical and Computer Engineering Isfahan University of TechnologAbstract This dissertation presents a passivity based control PBC scheme for the Switched Reluctance Generator SRG insmall scale wind energy conversion systems WECSs for DC microgrid application The main objective is to stabilize theoutput voltage in case the system supplies constant power loads CPLs and operates with maximum power point tracking MPPT Stability improvement and dc link ripple reduction in the presence of CPLs is achieved using system level mod eling of SRG based DC microgrid through the Euler Lagrange system ELS from the view point of the machine physicalstructure Compared with other control methods the proposed MPPT method based on passivity based speed controlleremploys the back EMF in the generation process as a position dependent voltage source to overcome the major challengeof SRG complicated uncertain dynamic model To deal with the time varying inductance and back emf of SRG an adap tation mechanism is incorporated in proposed adaptive PBC and the control design is constructed by using the Lyapunovtheorem where the closed loop stability is ensured To maximize the recovered energy during battery charging the proposedalgorithm employs the maximum power recovery MPR process The proposed MPR operation is first based on the max imization of the extracted power from the machine and then the maximization of the power transferred to the battery Themaximum power extraction MPE from SRG is based on maximizing the energy conversion ratio by the calculation of theoptimum turn on and turn off angles By using the impedance matching theorem that allows the maximum power transfer MPT of the MPE the proposed MPR is achieved The parametric averaged value modeling of the machine phase currentsin the chopping control mode is used for MPR realization By following this model a nonlinear equivalent input resistanceis derived for the battery internal resistance matching The effectiveness of the proposed method in avoiding instability ef fects of SRG and CPL with voltage ripple reduction and precise wind turbine speed tracking is investigated with simulationresults and validated with experimental by using a four phase 8 6 SRG drive system Key Words Switched Reluctance Generator SRG Wind turbine Passivity based control Constant power load Introduction
استاد راهنما :
مرتضي سقائيان نژاد
استاد مشاور :
احمدرضا تابش
استاد داور :
حميدرضا كارشناس، بهزاد ميرزائيان، محمد عطائي