DocumentCode :
3596687
Title :
Optimum distributed generation allocation using PSO in order to reduce losses and voltage improvement
Author :
Hasan, I.J. ; Ab Ghani, M.R. ; Gan, C.K.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Melaka, Malaysia
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. This paper aims to investigate the best solution for optimal operation of distribution networks by taking into consideration of DG. The optimal allocation of DG can be considered as an integer problem that can be formulated by metaheuristic methods. In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. The IEEE 34 bus test system has been utilized to demonstrate the effectiveness of the PSO algorithm on herein mentioned problem. The result illustrates the losses minimization and voltage profile improvement.
Keywords :
air pollution; distributed power generation; integer programming; losses; minimisation; particle swarm optimisation; power generation planning; DG placement; DG sizing; IEEE 34 bus test system; PSO algorithm; distribution networks; environmental pollution; integer problem; loss minimization; metaheuristic method; optimal DG allocation; optimum distributed generation allocation; particle swarm optimization; power system; voltage profile improvement; DG; Distribution Network Planning; PSO;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Clean Energy and Technology (CEAT) 2014, 3rd IET International Conference on
Print_ISBN :
978-1-78561-069-1
Type :
conf
DOI :
10.1049/cp.2014.1476
Filename :
7151638
Link To Document :
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