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خوارزمية فعالة للسيطرة على التردد اثناء تغيير الحمل في منظومة القدرة == An Effective Algorithm Of Load Frequency Control In Power System
Author name:
ساره عباس حسين
Supervisor name:
قاسم عبد الرزاق الانباري | عباس حسين مري
General topic:
Electrical, Electronic and Communications Engineering
Specific topic:
Electrical Engineering - Power and Machinery
Degree:
Master
University:
Mustansiriyah University - College Of Engineering - Department Of Electrical Engineering
Language:
English
University location:
Baghdad
First pages:
34T527 - p.pdf
Abstract:
في السنوات السابقة، زادت اهمية تحسين النظام الكهربائي. وان ثبوت التردد هو واحدة من الاشياء التي اثرت في خصائص النظام الكهربائي هي ثبوتية التردد. ولهذه الغاية، وحدة التوليد ملحقة بمسيطر اوتوماتيكي على التردد اثناء تغيير الحمل (LFC) لتنظيم القدرة الفعالة | In recent years, the importance of improving electrical power has been increased. One of the things influenced the characteristic of electrical power is the constancy of frequency. To this end, the generator unit is equipped with an automatic load frequency control (LFC) to adjust the active power produced and restore the frequency and tie line power exchange to their nominal value.The total model of a hybrid power system has a high dimension. The classical design tools are inadequate to cope with all dynamic features. Artificial intelligence techniques are found to be a promising tool to optimally minimize the transient dynamics and control efforts in a load frequency control. This thesis shows the execution of various Artificial Intelligence techniques on the tuning of PID controller in a load frequency control system to compute the PID controller. The techniques of genetic algorithm technique GA, particle swarm optimization PSO and artificial bee colony ABC were applied on four areas, six tie lines power system. The dynamic model was formulated in state variables form. A comparison between these techniques with different performance indices was presented. Results of the test system 1 and 2 were computed and compared. They showed that in test system 2 the load frequency controller can chase the load fluctuation in a short time. The IAE performance index gives an optimum dynamic performance using ABC. From the outcomes, they show that the test system 2 outputs regarding settling time and maximum overshoot were the best performances.
