header
Image from OpenLibrary

Optimal placement of dispatchable and non-dispatchable distributed generation of different technologies / Noran Hazem Mohamed Essam Eldin Abosenna ; Supervised Zeinab H. M. Osman , Mostafa A. Elshahed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Noran Hazem Mohamed Essam Eldin Abosenna , 2018Description: 94 P. : charts ; 30cmOther title:
  • الوضع الأمثل لمولدات التوزيع ذات التكنولوجيات المختلفة والقابلة والغير قابلة للجدولة [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University -Faculty of Engineering - Department of Electrical Power and Machines Summary: This thesis investigates various DG technologies (such as biomass, micro-turbine, solar, wind, combined heat and power (CHP) and fuel cells) and applies various optimization techniques. These techniques are categorized into analytical optimization and heuristic optimization. The analytical optimization techniques used in this thesis are allocation using voltage (bus) stability index (VSI) and a power (line) stability index (PSI). The heuristic techniques are Multi-objective Genetic Algorithm (MOGA), Particle Swarm Optimization (PSO) and Biogeography Based Optimization (BBO). In addition, the thesis discusses non-dispatchable and dispatchable DG. Single and multi-objective optimization techniques are proposed to determine the allocation of a DG unit in radial distribution systems while, considering objective functions namely, minimizing power losses, minimizing the energy losses, minimizing the total cost and maximizing the voltage stability index (VSI). These techniques are applied to a standard IEEE 69 bus radial distribution system and implemented using MATLAB R2014b
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2018.No.O (Browse shelf(Opens below)) Not for loan 01010110075682000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2018.No.O (Browse shelf(Opens below)) 75682.CD Not for loan 01020110075682000

Thesis (M.Sc.) - Cairo University -Faculty of Engineering - Department of Electrical Power and Machines

This thesis investigates various DG technologies (such as biomass, micro-turbine, solar, wind, combined heat and power (CHP) and fuel cells) and applies various optimization techniques. These techniques are categorized into analytical optimization and heuristic optimization. The analytical optimization techniques used in this thesis are allocation using voltage (bus) stability index (VSI) and a power (line) stability index (PSI). The heuristic techniques are Multi-objective Genetic Algorithm (MOGA), Particle Swarm Optimization (PSO) and Biogeography Based Optimization (BBO). In addition, the thesis discusses non-dispatchable and dispatchable DG. Single and multi-objective optimization techniques are proposed to determine the allocation of a DG unit in radial distribution systems while, considering objective functions namely, minimizing power losses, minimizing the energy losses, minimizing the total cost and maximizing the voltage stability index (VSI). These techniques are applied to a standard IEEE 69 bus radial distribution system and implemented using MATLAB R2014b

Issued also as CD

There are no comments on this title.

to post a comment.