Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin

This thesis presents a new technique to determine the optimal locations and sizing of multiple DG units in a distribution system based on the concepts and principles of quantum mechanics in the Evolutionary Programming (EP) namely Quantum-Inspired Evolutionary Programming (QIEP). The concept of Quan...

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Main Author: Mat Yasin, Zuhaila
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/19504/
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author Mat Yasin, Zuhaila
author_facet Mat Yasin, Zuhaila
author_sort Mat Yasin, Zuhaila
building UiTM Institutional Repository
collection Online Access
description This thesis presents a new technique to determine the optimal locations and sizing of multiple DG units in a distribution system based on the concepts and principles of quantum mechanics in the Evolutionary Programming (EP) namely Quantum-Inspired Evolutionary Programming (QIEP). The concept of Quantum- Inspired is implemented according to three levels namely quantum individuals, quantum groups and quantum global in order to accelerate the convergence time of the EP. To enhance the robustness of the algorithm, the QIEP technique is constructed based on multiobjective model in which the multiobjective functions consist of reducing power losses, increasing maximum loadability and cost minimisation. All simulations in this study were carried out using IEEE 69-bus distribution test system and 141-bus distribution test system.
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spelling uitm-195042018-06-12T01:47:05Z https://ir.uitm.edu.my/id/eprint/19504/ Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin Mat Yasin, Zuhaila Malaysia This thesis presents a new technique to determine the optimal locations and sizing of multiple DG units in a distribution system based on the concepts and principles of quantum mechanics in the Evolutionary Programming (EP) namely Quantum-Inspired Evolutionary Programming (QIEP). The concept of Quantum- Inspired is implemented according to three levels namely quantum individuals, quantum groups and quantum global in order to accelerate the convergence time of the EP. To enhance the robustness of the algorithm, the QIEP technique is constructed based on multiobjective model in which the multiobjective functions consist of reducing power losses, increasing maximum loadability and cost minimisation. All simulations in this study were carried out using IEEE 69-bus distribution test system and 141-bus distribution test system. Institute of Graduate Studies, UiTM 2014 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/19504/1/ABS_ZUHAILA%20MAT%20YASIN%20TDRA%20VOL%206%20IGS_14.pdf Mat Yasin, Zuhaila (2014) Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin. (2014) In: The Doctoral Research Abstracts. IPSis Biannual Publication, 6 (6). Institute of Graduate Studies, UiTM, Shah Alam.
spellingShingle Malaysia
Mat Yasin, Zuhaila
Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
title Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
title_full Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
title_fullStr Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
title_full_unstemmed Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
title_short Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
title_sort performance improvement through optimal location and sizing of distributed generation / zuhaila mat yasin
topic Malaysia
url https://ir.uitm.edu.my/id/eprint/19504/