PSO algorithm for sitting and sizing of distributed generation to improve voltage profile and decreasing power losses
This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for voltage profile improvement, loss reduction in distribution networks. Particle Swarm Optimizati...
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| Published in | 2012 Proceedings of 17th Conference on Electrical Power Distribution Networks pp. 1 - 5 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.05.2012
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| Subjects | |
| Online Access | Get full text |
| ISBN | 1467314188 9781467314183 |
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| Abstract | This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for voltage profile improvement, loss reduction in distribution networks. Particle Swarm Optimization (PSO) is used as the solving tool, which referring determined aim, the problem is defined and the objective function is introduced. Considering the fitness values sensitivity in PSO algorithm process, it is needed to apply load flow and harmonic calculations for decision-making. Finally, the feasibility of the proposed method is demonstrated for typical distribution network, and it is compared with the GA method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method is indeed capable of obtaining higher quality solutions efficiently. |
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| AbstractList | This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for voltage profile improvement, loss reduction in distribution networks. Particle Swarm Optimization (PSO) is used as the solving tool, which referring determined aim, the problem is defined and the objective function is introduced. Considering the fitness values sensitivity in PSO algorithm process, it is needed to apply load flow and harmonic calculations for decision-making. Finally, the feasibility of the proposed method is demonstrated for typical distribution network, and it is compared with the GA method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method is indeed capable of obtaining higher quality solutions efficiently. |
| Author | Mohammadi, M. T. Arab Yar Faramarzi, M. |
| Author_xml | – sequence: 1 givenname: M. T. Arab Yar surname: Mohammadi fullname: Mohammadi, M. T. Arab Yar organization: Golestan Province Electricity Distribution Company – sequence: 2 givenname: M. surname: Faramarzi fullname: Faramarzi, M. organization: Golestan Province Electricity Distribution Company |
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| PublicationTitle | 2012 Proceedings of 17th Conference on Electrical Power Distribution Networks |
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| Snippet | This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal... |
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| SubjectTerms | Distributed Generation Distributed power generation Harmonic analysis Load flow Particle swarm optimization Planning power losses PSO Resource management Voltage Profile |
| Title | PSO algorithm for sitting and sizing of distributed generation to improve voltage profile and decreasing power losses |
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