3218

3138

كارشناسي ارشد

﴿قدرت﴾

اصفهان :دانشگاه صنعتي اصفهان،دانشكده برق وكامپيوتر

1385

ده ،79،[I]ص:حصور، جدول ،نمودار

ص .ع: به فارسي

اكبر ابراهيمي

محمد اسماعيل همداني گلشن

مهندسي برق و كامپيوتر

ID3138

به فارسي و انگليسي:قابل رويت در نسخه ديجيتالي

AbstractThe problem of multi objective short term unit commitment in power systems containing alarge number of thermal units is considered in this thesis The total production cost and theproduced emissions are considered as the multiple objectives of the problem to beminimized simultaneously in the programming period To solve the problem a method issuggested based on the genetic algorithm to handle the large dimensionality of the problemand fuzzy modeling and fuzzy optimization are used to find the compromise fitness valuesof the chromosomes according to multiple objectives By the proposed method elementarygenerations of chromosomes are firstly produced that is composed of feasible solutions ofthe problem Using genetic operators like cross over and mutation new generations ofchildren are produced with better compromised fitness values To prevent the algorithm tostop at local optimum solutions and to increase the convergence speed some modificationsuch as a dynamic variation of mutation rate and producing apart of chromosomes by apriority list are considered When the on units in each hour of the program are known theiroptimal share to maintain the forecast load of the hour should be determined due tomultiple objective functions This is also done by a fuzzy linear programming method Various case studies are considered by running program in a small 10 unit test system toverify and evaluate the proposed algorithm Results obtained using a test system containing100 thermal units are also analyzed and show the ability and effectiveness of the algorithmto overcome difficulties of multi purpose short term unit commitment in real large scalepower systems

اكبر ابراهيمي

محمد اسماعيل همداني گلشن