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Distribution Network Reconfiguration (DNR) Restoration For Minimizing Losses In Consideration Of Distributed Generation (DG) Installation Using Improved Genetic Algorithm (IGA)

Nabilah, Iszhal (2015) Distribution Network Reconfiguration (DNR) Restoration For Minimizing Losses In Consideration Of Distributed Generation (DG) Installation Using Improved Genetic Algorithm (IGA). Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Distribution Network Reconfiguration (DNR) Restoration For Minimizing Losses In Consideration Of Distributed Generation (DG) Installation Using Improved Genetic Algorithm (IGA) 24 Pages.pdf - Submitted Version

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Abstract

Fault is a type of disturbance that affecting the continuity of the power supply to loads. Therefore, it is essential for a distribution power system to have a flexible, stable and more reliable load restoration system. The aim of the load restoration in this project is to restore as many loads as possible through the network reconfiguration while minimizing the power losses after the occurrences of fault. Distribution network reconfiguration (DNR) is applied to determine the best combination of open switches that acts as the best route to optimize the reduction of power losses during load restoration process. The reconfiguration process of the network is performed with distributed generation (DG) and being operated simultaneously to reduce power losses by using an algorithm. An improved genetic algorithm (IGA) is proposed in this project. This method is based on IGA expressions to obtain the optimal size of four different distributed generations (DG) at the optimal location on the network. The algorithm proposed is tested and validated on 69 IEEE bus using MATLAB software. A detail analysis is performed to demonstrate the effectiveness of IGA. The proposed method is applied and the effects of method on the power losses are examined. Results show that IGA method for load restoration via DNR and DG is more effective as compared with genetic algorithm (GA) solution.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Total energy systems (On-site electric power production), Algorithms, Distributed generation of electric power
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKE
Depositing User: Ahmad Tarmizi Abdul Hadi
Date Deposited: 15 Aug 2016 04:40
Last Modified: 15 Aug 2016 04:40
URI: http://digitalcollection.utem.edu.my/id/eprint/16986

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