Optimal Allocation of Distributed Generation in Distribution Systems

A Master of Science thesis in Electrical Engineering by Hamza Mohammad Abu-Baker entitled, “Optimal Allocation of Distributed Generation in Distribution Systems”, submitted in July 2019. Thesis advisor is Dr. Mostafa Shaaban and thesis co-advisor is Dr. Ahmed Osman. Soft and hard copy available.

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Main Author: Abu-Baker, Hamza Mohammad (author)
Format: doctoralThesis
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/11073/16546
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author Abu-Baker, Hamza Mohammad
author_facet Abu-Baker, Hamza Mohammad
author_role author
dc.contributor.none.fl_str_mv Shaaban, Mostafa
Osman, Ahmed
dc.creator.none.fl_str_mv Abu-Baker, Hamza Mohammad
dc.date.none.fl_str_mv 2019-12-15T09:33:42Z
2019-12-15T09:33:42Z
2019-07
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2019.42
http://hdl.handle.net/11073/16546
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Distribution generation
Genetic algorithms
Renewable resources
Smart grids
Distributed generation of electric power
dc.title.none.fl_str_mv Optimal Allocation of Distributed Generation in Distribution Systems
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Electrical Engineering by Hamza Mohammad Abu-Baker entitled, “Optimal Allocation of Distributed Generation in Distribution Systems”, submitted in July 2019. Thesis advisor is Dr. Mostafa Shaaban and thesis co-advisor is Dr. Ahmed Osman. Soft and hard copy available.
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network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/16546
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spelling Optimal Allocation of Distributed Generation in Distribution SystemsAbu-Baker, Hamza MohammadDistribution generationGenetic algorithmsRenewable resourcesSmart gridsDistributed generation of electric powerA Master of Science thesis in Electrical Engineering by Hamza Mohammad Abu-Baker entitled, “Optimal Allocation of Distributed Generation in Distribution Systems”, submitted in July 2019. Thesis advisor is Dr. Mostafa Shaaban and thesis co-advisor is Dr. Ahmed Osman. Soft and hard copy available.The integration of distributed generation (DG) to the power grid has increased in recent years due to their techno-economic benefits for utilities and consumers. The downside of these DG units is that they introduce several challenges to the utilities. One of the critical challenges faced by the utilities from such units is their effect on the protection system settings, location, and coordination. For designing the protection system, fault analysis is carried on the system without considering any DG units. Once the DG units are installed, all previous settings must be updated, since the addition of these units affects the pickup current settings of the protection relays, coordination between the primary and the secondary relays, and even the direction of the fault current. Failing to consider the DG effect on the protection system may lead to serious equipment damage or system failure costing the utility a huge financial setback. Moreover, DG units have many economic and technical effects that must be taken into consideration such as power loss, voltage profile, and thermal overloading. This work proposes a new method for DG allocation in the distribution system through genetic algorithm. The main objective of this work is to optimally allocate DG units to minimize the overall operating costs of the system while taking into consideration its intermittency and the protection system aspects. Simulation results have been developed on a typical distribution system. The optimally allocated DG units resulted in a reduction by 10 % in the overall system costs while upgrading the protection system to withstand the new configuration over the planning horizon.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Shaaban, MostafaOsman, Ahmed2019-12-15T09:33:42Z2019-12-15T09:33:42Z2019-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2019.42http://hdl.handle.net/11073/16546en_USoai:repository.aus.edu:11073/165462025-06-26T12:28:55Z
spellingShingle Optimal Allocation of Distributed Generation in Distribution Systems
Abu-Baker, Hamza Mohammad
Distribution generation
Genetic algorithms
Renewable resources
Smart grids
Distributed generation of electric power
status_str publishedVersion
title Optimal Allocation of Distributed Generation in Distribution Systems
title_full Optimal Allocation of Distributed Generation in Distribution Systems
title_fullStr Optimal Allocation of Distributed Generation in Distribution Systems
title_full_unstemmed Optimal Allocation of Distributed Generation in Distribution Systems
title_short Optimal Allocation of Distributed Generation in Distribution Systems
title_sort Optimal Allocation of Distributed Generation in Distribution Systems
topic Distribution generation
Genetic algorithms
Renewable resources
Smart grids
Distributed generation of electric power
url http://hdl.handle.net/11073/16546