حل سريان الاحمال وتحليل الاضطرابات في منظومات القدرة على اسس المنطق المضبب باستخدام دالة الكاوسين == Fuzzy Load Flow And Contingency Analysis Based On Gaussian Distribution System
Author name:
یاسر فلاح حسن
Supervisor name:
حسن عبد الله كبة
General topic:
Electrical, Electronic and Communications Engineering
Specific topic:
Electrical Engineering
Degree:
Master
University:
University of Baghdad - College Of Engineering - Department Of Electrical Engineering
Language:
English
University location:
Baghdad
First pages:
34T455 - p.pdf
Abstract:
This thesis presented durable minimization method for solving the load flow problem and contingency analysis in on - line applications. Because the electrical power networks are complicated systems, traditional (numerical) minimization methods may encounter difficulties in solving the load flow problem and contingency analysis due to properties of the problem.Thus, the fuzzy logic applications represented by the fuzzy load flow (FLF) and fuzzy contingency analysis (FCA) methods share the best selection in - stead of the traditional methods because the artificial intelligence (AI) methods do not use the characteristics of the problem to determine the next sampling point. The obtained results are very accurate with outstanding computation time, which made the FLF suitable for real time application. In addition to these features, the FLF also able to solve load flow problem of ill - conditioned power system and contingency analysis efficiently.The FLF method using Gaussian membership function requires less number of iterations and less computing time than that required in the FLF method using triangular membership function.All the obtained results show that the computation time of the Fuzzy Load Flow (FLF) is less than the Fast Decoupled Load Flow (FDLF). Using sparsity technique for the input sparse matrix data without complicating the algorithm?s programs gives reduction in overall computation time and storage requirements. The contingency ranking process by calculating the active power and voltage performance indices (PIP and PIV) are required for real power problems and voltage problems respectively for two typical test systems being the IEEE 14 - bus and 30 - bus systems. The performance of the FLF and FCA was tested on two typical test systems being the IEEE 14 - bus and 30 - bus systems in addition to the 362 - bus Iraqi National Grid.
