Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation

The implementation of DG may lead to several problems in power system. The increase in system losses and unwanted voltage levels outside the allowed electricity utility limits may cause by DG if the power injected by DG units is in an inappropriate place. The costs of network may increase and give t...

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Format:	Thesis
Language:	English
Subjects:	Distributed generation of electric power Electric power systems DG Distributed generation (DG)
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/4/Declaration.pdf
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spelling	my-unimap-770572022-11-17T01:38:02Z Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation Samila, Mat Zali, Dr. The implementation of DG may lead to several problems in power system. The increase in system losses and unwanted voltage levels outside the allowed electricity utility limits may cause by DG if the power injected by DG units is in an inappropriate place. The costs of network may increase and give the undesired outcomes. In addition, the reverse power flows may introduce and the generation protective system may be interrupted. The main aim of this research is to investigate the optimal placement and sizing of single and multiple DGs in distribution system using multi-objective method. Thus, this research presents a multi-objective performance index based on the size and location of distributed generation (DG) in power system to counter the problems. The placement and sizing of DG are selected optimally by technique of optimization. The technique of artificial bee colony algorithm (ABC) has been studied to solve these multi-objectives problems which are real power loss, reactive power loss, short circuit current, and voltage profile. The algorithm used is then tested on standard IEEE 69 bus distribution system. The validation results of the effectiveness of the ABC method are presented and proven through the comparison with other methods of optimization which is Particle Swarm Optimization (PSO). This includes the multi-objectives problems that have significant impact in choosing the optimum sizing and location of DG, which was represented in term of multi-objective index. The overall value of multi-objective index that is significantly different with different number of DGs install into the system is identified. The reliability aspect of power distribution systems is found to be improved. Finally, number of DGs installation that will reduce the number of multi-objective index (IMO), and also will reduce other problem in power system is identified. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77057 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/1/Page%201-24.pdf 2b08a0dc6093170110905ec271d117b4 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/2/Full%20text.pdf 7b66316c38a2e185fb45d180840871d6 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/4/Declaration.pdf 482b3d808ce635484c6d8c35dfd48e6b Universiti Malaysia Perlis (UniMAP) Distributed generation of electric power Electric power systems DG Distributed generation (DG) School of Electrical Systems Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Samila, Mat Zali, Dr.
topic	Distributed generation of electric power Electric power systems DG Distributed generation (DG)
spellingShingle	Distributed generation of electric power Electric power systems DG Distributed generation (DG) Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
description	The implementation of DG may lead to several problems in power system. The increase in system losses and unwanted voltage levels outside the allowed electricity utility limits may cause by DG if the power injected by DG units is in an inappropriate place. The costs of network may increase and give the undesired outcomes. In addition, the reverse power flows may introduce and the generation protective system may be interrupted. The main aim of this research is to investigate the optimal placement and sizing of single and multiple DGs in distribution system using multi-objective method. Thus, this research presents a multi-objective performance index based on the size and location of distributed generation (DG) in power system to counter the problems. The placement and sizing of DG are selected optimally by technique of optimization. The technique of artificial bee colony algorithm (ABC) has been studied to solve these multi-objectives problems which are real power loss, reactive power loss, short circuit current, and voltage profile. The algorithm used is then tested on standard IEEE 69 bus distribution system. The validation results of the effectiveness of the ABC method are presented and proven through the comparison with other methods of optimization which is Particle Swarm Optimization (PSO). This includes the multi-objectives problems that have significant impact in choosing the optimum sizing and location of DG, which was represented in term of multi-objective index. The overall value of multi-objective index that is significantly different with different number of DGs install into the system is identified. The reliability aspect of power distribution systems is found to be improved. Finally, number of DGs installation that will reduce the number of multi-objective index (IMO), and also will reduce other problem in power system is identified.
format	Thesis
title	Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
title_short	Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
title_full	Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
title_fullStr	Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
title_full_unstemmed	Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
title_sort	multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Electrical Systems Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77057/4/Declaration.pdf
_version_	1776104230137888768

Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation

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