A PSO-ANN algorithm to control TCR for voltage balancing
Dissertant
Thesis advisor
University
Philadelphia University
Faculty
Faculty of Engineering
Department
Department of Mechatronics Engineering
University Country
Jordan
Degree
Master
Degree Date
2019
Arabic Abstract
الفولتية الغير متوازنة تعتبر من أهم مشاكل أنظمة القدرة الكهربائية حيث تسبب مشاكل كثيرة وخاصة في مكونات وأجهزة أنظمة القدرة في هذه الرسالة تم اشتقاق نموذج رياضي عام لمنظومة القدرة الكهرباية مع خطها الناقل ثم تم استخدام خوارزمية الاستمثال والشبكة العصبية الهجينة لمعالجة الفولتيات الغير متوازنة في المنظومة الكهربائية و ذلك من خلال التحكم بزوايا القدح للثاير يستور التحكمي المفاعلي.
خوارزمية الاستثمال استخدمت مع النموذج الرياضي للمنظومة الكهربائية لحساب أفضل زوايا قدح للثايريستور لارجاع الحالة المتوازنة للمنظومة، ثم تم تغذية هذه المعلومات للشبكة العصبية لغرض القيام بعملية موازنة الفولتيات في الزمن الحقيقي استخدمت منظومة العقبة - قطرانة - جنوب عمان الكهربائية كنموذج حقيقي للتأكد من كفاءة الخوارزمية المقترحة تم استخدام برنامج التطبيقات الهندسية (MATLAB ) والنموذج المختبري لاختبار كفاءة الخوارزمية المقترحة في هذه الرسالة
English Abstract
Voltage unbalance is one of the most important power quality issues which occurs in electrical power systems and causes severe problems for them.
In this work, a general mathematical model for electrical power systems including its long transmission line is developed using the generalized circuit parameters method.
Then, a hybrid PSO-ANN algorithm is proposed to overcome the voltage unbalance power quality problem by controlling the firing angles of TCR compensator in order to control the amount of reactive power at the load side.
PSO algorithm is responsible for determining the optimal set of TCR firing angles required to retrieve the balanced conditions in offline mode for different load changes, employing the developed mathematical model of the long transmission line.
Then, these datasets are taken as training samples for the ANN in order to be used in online mode.
Aqaba Qatranah South-Amman (AQSA) electrical power system is considered as a real case study and simulated in MATLAB environment in order to validate the proposed algorithm.
The simulation results are compared with other ANN algorithms available in literature.
A laboratory prototype is built for AQSA electrical power system with its long transmission line in order to test the proposed hybrid PSOANN algorithm for real unbalanced conditions acquired from the laboratory prototype by means of a real-time monitoring system.
The simulation results show the effectiveness of the proposed PSO-ANN algorithm to mitigate the voltage unbalance problem and retrieve the balanced conditions accurately and within short time.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
108
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Modelling of electrical transmission lines.
Chapter Four : Determination of TCR firing angles using PSO.
Chapter Five : PSO-BASED ANN training for online reactive control.
Chapter Six : Laboratory prototype for long transmission line system.
Chapter Seven : Conclusions and recommendations for future work.
References.
American Psychological Association (APA)
al-Kayyali, Malik Bassam Isa. (2019). A PSO-ANN algorithm to control TCR for voltage balancing. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-956662
Modern Language Association (MLA)
al-Kayyali, Malik Bassam Isa. A PSO-ANN algorithm to control TCR for voltage balancing. (Master's theses Theses and Dissertations Master). Philadelphia University. (2019).
https://search.emarefa.net/detail/BIM-956662
American Medical Association (AMA)
al-Kayyali, Malik Bassam Isa. (2019). A PSO-ANN algorithm to control TCR for voltage balancing. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-956662
Language
English
Data Type
Arab Theses
Record ID
BIM-956662
