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العنوان
Optimal Capacitor Placement in Distribution Systems by Simulated Annealing \
المؤلف
Hasaan, Hadeer Ahmed Mahmoud.
هيئة الاعداد
باحث / هدير أحمد محمود حسان
eng_magic25@yahoo.com
مشرف / أحمد رمضان عبد العزيز
مشرف / حسام الدين مصطفى عبده
مناقش / عادل على أبو العلا
مناقش / وائل محمد شتا
الموضوع
Electrical Engineering.
تاريخ النشر
2016.
عدد الصفحات
69 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة (متفرقات)
تاريخ الإجازة
1/8/2016
مكان الإجازة
جامعة الاسكندريه - كلية الهندسة - الهندسة الكهربائية
الفهرس
Only 14 pages are availabe for public view

from 87

from 87

Abstract

Capacitors are widely installed in distribution system for reactive power compensation to achieve total power and energy reduction, it also affects voltage regulation and system capacity release. The extent of these benefits depends greatly on how the capacitors are placed and controlled on the system.
The general capacitor placement problem is concerned with how to choose the location, types, sizes, and control schemes for the capacitors in a general distribution system such that these benefits are achieved and/or maximized against the cost of the capacitors, while load constraints at each bus and operational constraints (e.g., voltage profile, current magnitude) at each node and each branch during varying loading conditions are satisfied.
The objective here are the cost of reduction of the energy losses is maximized and the voltages at different nodes of the system are maintained within the acceptable limits. The loads on the system vary during different hours of the day. In practice, capacitors are available in discrete sizes, and, for all practical purposes, loads on the system may be assumed to vary in discrete steps only. The objective function of the capacitor placement problem is thus non- differentiable and is not fit for direct application of the nonlinear classical optimization techniques.
Simulated annealing has been used to solve the proplem of capacitor placement in power distribution systems. A new composition of the solution string for the coding of the capacitor placement problem has been proposed. The proposed string represents both the optimum location and the size of the capacitor to improve the performance of the simple simulated annealing algorithm in solving the capacitor placement problem. Test results have been presented in support of the superiority of the proposed modifications.