تخمين حالة منظومة الشبكة العراقية استنادا الى تقنية امثلية الحشد الجزيئي == Iraqi Super Grid Network State Estimation Using Particle Swarm Optimization (PSO) Techniqu
Author name:
انمار جاسم حميد
Supervisor name:
افانين انور عبود
General topic:
Electrical, Electronic and Communications Engineering
Specific topic:
Electrical Engineering - Power and Machinery
Degree:
Master
University:
University of Technology - Electrical Engineering Department - Electrical Engineering Branch
Language:
English
University location:
Baghdad
First pages:
34T506 - p.pdf
Abstract:
يعتبر تخمين حالة منظومات القدرة الكهربائية من الامور المهمة في تشغيل منظومات القدرة وخصوصا في حالة الحمل الزائد على شبكة الطاقة الكهربائية من خلال دوره في ضمان تشغيل اكثر اقتصاديا وامانا. تم في هذا العمل دراسة تخمين حالة منظومة القدرة واقتراح طريقة فعا | Due to the increasing stress on power system networks, state estimation recently became a main matter in the operation of power systems through its important role in ensuring the secure and economical operation of the power system. This work presents a study of a problem of power system state estimation, and proposes an efficient and reliable optimization approach to solve the power system state estimation problem. Two programs have been proposed and implemented in order to overcome the disadvantage of the classical optimization problem and search for the optimal solution of state estimation in power systems, the first program is a conventional state estimation program based on Weighted Least Square (WLS) method, and the second program is an intelligent program based on Particle Swarm Optimization (PSO) technique. All programs have been implemented using MATLAB and have been developed to solve the state estimation problem of the Iraqi Super Grid network (400kV). The proposed programs have been examined and tested on the 14 - bus IEEE and 30 - bus IEEE test standard system. The results were compared with those of the previous published papers. Then, the two programs were applied on the Iraqi Super Grid network (400 kV). The tests proved that the two methods are very efficient and suitable for on - line applications since they are concise and require few computations. The results show that the convergence of the (PSO) technique to the optimal solution is more accurate than (WLS) method. On the other hand, the PSO has an acceptable execution time compared with the freezing time of Iraqi Supervisory Control and Data Acquisition (SCADA) system approved by the Iraqi national grid.
