Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation
Master of Science in Electrical System Engineering
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Universiti Malaysia Perlis (UniMAP)
2016
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| Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77057 |
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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 |
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Universiti Malaysia Perlis |
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Asia |
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Malaysia |
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Universiti Malaysia Perlis |
| content_source |
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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 |
13.160551 |