DocumentCode :
3105433
Title :
A particle swarm optimization for sitting and sizing of Distributed Generation in distribution network to improve voltage profile and reduce THD and losses
Author :
Beromi, Y. Alinejad ; Sedighizadeh, M. ; Sadighi, M.
Author_Institution :
Eng. Dept., Univ. of Semnan, Semnan
fYear :
2008
fDate :
1-4 Sept. 2008
Firstpage :
1
Lastpage :
5
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, and THD (total harmonic distortion) 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.
Keywords :
distributed power generation; distribution networks; load flow; particle swarm optimisation; power system harmonics; PSO; THD reduction; computation efficiency; decision-making; distributed generation; distribution network; harmonics calculation; load flow; losses; particle swarm optimization; total harmonic distortion; Capacity planning; Computer networks; Costs; Distributed computing; Distributed control; Minimization; Particle swarm optimization; Technology planning; Total harmonic distortion; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location :
Padova
Print_ISBN :
978-1-4244-3294-3
Electronic_ISBN :
978-88-89884-09-6
Type :
conf
DOI :
10.1109/UPEC.2008.4651544
Filename :
4651544
Link To Document :
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