پديد آورنده :
بي جامي، احسان
عنوان :
اصلاح روش هاي شهودي SFL و ICA و كاربرد آنها در طراحي كنترل كننده هاي پيش بين
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
هشت،137ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
سعيد حسين نيا، جواد عسگري
استاد مشاور :
يداله ذاكري
توصيفگر ها :
الگوريتم جهش قورباغه ها , الگوريتم رقابت استعماري , مسئله پخش بار اقتصادي , مسئله برنامه ريزي توسعه توليد , پايدار ساز سيستم قدرت
تاريخ نمايه سازي :
28/3/90
استاد داور :
محسن مجيري، جعفر قيصري
دانشكده :
مهندسي برق و كامپيوتر
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Modifications of Shuffled Frog Leaping Algorithm and Imperialist Competitive Algorithm and Their Application in Model Predictive Controller Design Ehsan Bijami e bijami@ec iut ac ir Date of Submission 2011 03 6 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisors Saeed Hoseinnia Javad Askari hoseinia@cc iut ac ir j askari@cc iut ac irAbstractModel Predivtive Control Model Predictive Control MPC which was developed in late 1970 s is one ofthe most important computer algorithms which has received much attention as a powerful tool for the controlof industrial process systems The reason for this success can be attributed to the fact that model predictivecontrol is the most general way of posing the process control problem in the time domain The basic concept of model predictive control is to calculate a sequence of future control signals in such away that it minimizes a multistage cost function defined over a prediction horizon The performance index tobe optimized is the expectation of quadratic function measuring the distance between the predicted systemoutput and some reference sequence over the horizon plus a quadratic function measuring the control effort In fact model predictive control uses a model to predict the future outputs of the system in a definiteprediction horizon in discrete time domain Then a sequence of control inputs is obtained using this modeland minimizing a defined objective function The objective function related to predictive control method forobtaining an optimum control input is expressed in the form of second order function In this thesis two heuristic optimization algorithms including Shuffled Frog Leaping SFL Algorithm andImperialist Competitive Algorithm ICA have been used in order to minimize the objective function andbettering optimization in Generalized Predictive Control GPC method For this purpose first the SFL andICA algorithm are introduced Then after applying several modifications on these algorithms theirweaknesses are covered and three new algorithms are proposed a New Hybrid Shuffled Frog Leaping NHSFL algorithm a Modified Shuffled Frog Leaping MSFL algorithm and a Modified ImperialistCompetitive Algorithm MICA Following to show the effectiveness of the proposed modified algorithms these algorithms are tested on two different complicated engineering problems known as Economic dispatch ED and Generation Expansion Planning GEP problem which are two of the most important problems tobe solved in the operation and planning of a power system Finally the proposed algorithms introduced in this dissertation are used for optimization in generalizedpredictive control algorithm and two predictive control algorithms are introduced Model predictive ControlBased on New Hybrid Shuffled Frog Leaping MPC NHS and Model predictive Control Based on ModifiedImperialist Competitive Algorithm MPC MI Also in order to verify the effectiveness and ability of theproposed extended MPC algorithms the MPC NHS and MPC MI are employed to simultaneous coordinateddesigning of damping controllers for damping the power system inter area oscillations For this one smalland one large power systems are considered as the study systems A Power System Stabilizers PSS isdesigned for the small power system and one PSS for a generator and one supplementary controller for aStatic Var Compensator SVC are designed simultaneously for the large power system Furthermore tomake a comparison the conventional damping controllers are designed in which a lead lag structure isconsidered for both PSS and supplementary controller for SVC and their parameters are tuned using SFL ICA MICA and NHSFL Keywords Shuffled frog leaping algorithm Imperialist competitive algorithm Modelpredictive control Economic Dispatch Generation expansion planning PSS SVC
استاد راهنما :
سعيد حسين نيا، جواد عسگري
استاد مشاور :
يداله ذاكري
استاد داور :
محسن مجيري، جعفر قيصري