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العنوان
A Coarse Grained Parallel Quantum Genetic Algorithm for Operation of Smart Microgrids \
المؤلف
Hieba, Ahmed Adel Mahmoud Mahmoud.
هيئة الاعداد
باحث / أحمد عادل محمود محمود هيبه
مشرف / نبيل حسن محمود عباسى
abbasyna@hotmail.com
مشرف / تامر شمس الدين عبد الغفار
مناقش / صبحى سرى دسوقى فودة
مناقش / هشام بهاء الدين محمد الرفاعى
الموضوع
Electrical Engineering.
تاريخ النشر
2020.
عدد الصفحات
109 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
29/9/2020
مكان الإجازة
جامعة الاسكندريه - كلية الهندسة - الهندسة الكهربية
الفهرس
Only 14 pages are availabe for public view

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from 130

Abstract

The thesis is aiming to introduce a fast, reliable, and efficient method to solve various issues of distribution networks in smart grid environment. Such a developed method is applied on both problems of network reconfiguration and service restoration of distribution networks without distributed generators DGs, beside smart grids containing DGs. The results approved that, the method can work efficiently with systems need high level of reliability, due to its suitability to get the global optimal solution in each time it is executed. Meanwhile, results can be achieved very fast which makes the method adequate to be used in on-line applications. A simple load flow method based on the construction of two simple matrices is adopted in order to form a distribution load flow (DLF) matrix. This matrix is then used in the calculation of active and reactive power to finally calculate both the total power losses and the voltage profile of the grid. The adopted DLF method gives accurate and fast results uphold the speed of the method to be very fast and suitable for on-line applications. The problems of distribution network reconfiguration and service restoration have been modeled and formulated as an optimization problem. An optimization algorithm is developed in order to specifically solve the formulated problem. This developed algorithm is based on a genetic algorithm combined with quantum technique, in order to enrich the search space and achieve convergence close to the global optimal solution. In order to overcome the encountered problem of long computation time associated with this method, a ”parallelism technology” is applied that divides the calculations into groups working simultaneously to save computation time. In order to enhance the developed solution method, further techniques have been introduced and applied. This includes the super-star topology to divide the large search space of the reconfiguration and service restoration problem, and penetration theory and coarse grained technique that facilitate communications between parallelism groups. The method is applied on IEEE 33 buses test system for the reconfiguration problem without DGs as well as for the reconfiguration problem of a smart grid containing four DGs. The method is also applied on service restoration problem in both cases of a single fault and multiple faults. The results of the method are compared with other methods including latest researches published in 2020. The obtained results are promising and depict the least power losses, and improved voltage profile, where the execution time is very fast reaches less than 3 seconds to give the method the advantage to be applied for on-line applications.