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العنوان
Optimization of HRSG three-element drum level control with FOPID and fuzzy controllers /
المؤلف
Ahmed, Ahmed Shams El-din.
هيئة الاعداد
باحث / أحمد شمس الدين أحمد محمود
مشرف / هشام عرفات على
مشرف / مصطفى عبدالخالق الحسينى
مناقش / علي ابراهيم الدسوقي
مناقش / مجدي زكريا رشاد
الموضوع
Control System Engineering. Electrical power. Steam power plants.
تاريخ النشر
2020.
عدد الصفحات
online resource (122 pages) :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
هندسة النظم والتحكم
تاريخ الإجازة
1/12/2020
مكان الإجازة
جامعة المنصورة - كلية الهندسة - قسم الحاسبات والنظم
الفهرس
Only 14 pages are availabe for public view

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Abstract

Electrical power generation and optimization is a very important field of research as electricity day after day be more important, and power most of devices we use in our life. Energy recycling has become the main focus of the energy industry recently. Heat recovery steam generator (HRSG) is one of the most important methods of recovering waste heat in power plants. Optimization of HRSG design and drum three-element level control method are very important subject in literature and still need more development. Optimization of HRSG decreases fuel costs, green gas emissions and as a consequence global warming effect. This thesis studies the HRSG three-element drum level control loop in reality and simulate the plant model in MATLAB/Simulink environment. The Astrom-Bell basic nonlinear boiler model is initially built within MATLAB/Simulink with the calculated parameters of Talkha-Egypt HRSG. During modelling process of HRSG, it was discovered that the Talkha power plant has a level control valve (LCV) problem that destroy it periodically with no obvious reason, the problem will be analyzed and investigated. The HRSG model is enlarged to build the existing three-element PID level controller and pressure control of the steam turbine as both processes are related. The real parameters of three-element controller in Talkha HRSG are applied and simulated. The study presents the optimization of the three-element level controllers using fractional-order PID (FOPID) and fuzzy logic. Artificial Bee Colony (ABC) algorithm is used to tune FOPID element relative to minimum level error. Based on different performance measures such as Integral absolute error (IAE), a comparison has been made between the modified three-element controllers of drum level after and before the modification. Simulation results show that ABC algorithm has the capability to well tune PID, FOPID.