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 |
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| Language: | English |
| Subjects: | |
| 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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| Summary: | 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. |
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