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العنوان
Aggregation of equivalent models of large wind farms connected to power grids under normal operation and some disturbances \
المؤلف
Elewa,Mona Ali Bayoumi
هيئة الاعداد
باحث / منى على بيومى عليوه
مشرف / محمد عبد اللطيف بدر
مشرف / أحمد محمد عطا الله
مناقش / علوى عيسي الخولى
تاريخ النشر
2016.
عدد الصفحات
78p.:
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2016
مكان الإجازة
جامعة عين شمس - كلية الهندسة - هندسة القوى والالات الكهربية
الفهرس
Only 14 pages are availabe for public view

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from 98

Abstract

With increasing the penetration rate of wind power, wind farm begins to affect the power systems, so the modeling of wind farms for grid integration studies is now an important issue. Such effect is studied and justifies the need for a dynamic model of a wind farm comprising a large number of generators; however, detailed dynamic models demand much simulation computation time. Aggregation technique of wind farm is required in order to decrease the model order with keeping its accuracy high.
The first part of the thesis studies some of the different types of aggregation techniques of a large wind farm. It operates with the most commonly used wind generators in a wind farm such as doubly fed induction generator (DFIG), permanent magnet synchronous generator (PMSG), and squirrel cage induction generator (SCIG). Firstly, we study the complete model of each wind generator type, and then present some of the different types of aggregation techniques. The chosen five techniques are, full aggregated model utilizing equivalent wind speed (FAM-EWS), full aggregated model utilizing average wind speed (FAM-AWS), multi full aggregated model utilizing equivalent wind speed (MFAM-EWS), mixed semi-full aggregated model (MSFAM) and semi-aggregated model (SAM). The thesis compares the complete wind farm models and the studied types of aggregation techniques; the comparison is based on the proximity of the simulation results of the normal and abnormal response for each complete wind farm model and the aggregated wind farm models. These techniques have been carried out by MATLAB/Simulink program to compare between the complete model by using different effects such as values of wind farm active power, reactive power, the voltage at the point of common coupling (PCC) and system dynamics to show each of aggregation technique effectiveness.
The thesis focuses on some wind turbines trip. It uses a detector to adjust the aggregated wind farm model (AWF) according to the status of the wind turbines (in service or not) without stopping the simulation process.
There are two options for transmitting the generated power of wind farms to AC grid (1) High-voltage alternating current (HVAC) or (2) High-voltage direct current (HVDC). The thesis studies the two options of transmitting the generated power.
The second part of the thesis works with offshore wind farm integrated to weak and passive AC grid systems through multi-terminal high voltage direct current (MT-HVDC) transmission system. Furthermore, the effect of utilizing a superconducting magnetic energy storage unit in a hybrid power system containing offshore wind farm is studied. The behavior of the offshore wind farm integrated to weak and passive AC grid system is tested for transient responses on the network and the offshore wind farm by MATLAB/Simulink program.