Cover Image

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

Master of Science in Electrical System Engineering

Saved in:
Bibliographic Details
Main Author: Nur Fairuz, Mohd Johan
Other Authors: Samila, Mat Zali, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Distributed generation of electric power
Electric power systems
DG
Distributed generation (DG)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77057
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-77057
record_format dspace
spelling my.unimap-770572022-11-17T01:38:02Z Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation Nur Fairuz, Mohd Johan Samila, Mat Zali, Dr. Distributed generation of electric power Electric power systems DG Distributed generation (DG) Master of Science in Electrical System Engineering 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. 2016 2022-11-17T01:36:35Z 2022-11-17T01:36:35Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77057 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Electrical Systems Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
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)
Nur Fairuz, Mohd Johan
Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
description Master of Science in Electrical System Engineering
author2 Samila, Mat Zali, Dr.
author_facet Samila, Mat Zali, Dr.
Nur Fairuz, Mohd Johan
format Thesis
author Nur Fairuz, Mohd Johan
author_sort Nur Fairuz, Mohd Johan
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
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77057
_version_ 1751537838024818688
score 13.214268

Similar Items