DocumentCode :
1600968
Title :
Using a hybrid evolutionary method for optimal planning, and reducing loss of distribution networks
Author :
Mohammadian, L. ; Mohammadian, A. ; Khani, S. ; Hagh, M.Tarafdare ; Babaei, E.
Author_Institution :
Tabriz Univ., Tabriz, Iran
fYear :
2011
Firstpage :
1
Lastpage :
9
Abstract :
In this paper the practical planning of distribution system includes the selection of optimal conductor size and capacitor placement in radial distribution network considering increasing rate of loads. Technical operational constraints are available conductors and capacitors, voltage limit, maximum permissible carrying current of conductors and maximum reactive power could be injected. The power loss minimization problem is solved using a hybrid method of GA and PSO, which is called HGAPSO. By applying the proposed method, final cost of network planning, losses and their cost are considerably reduced and voltage profile of the network has improved to a semi flat shape. Simulation results are investigated on a sample radial distribution network. At last the effectiveness of proposed hybrid method is proved comparing the results with obtained results from PSO.
Keywords :
genetic algorithms; losses; particle swarm optimisation; power distribution planning; capacitor placement; distribution system planning; genetic algorithm; hybrid evolutionary method; maximum permissible carrying current; maximum reactive power; optimal conductor size; particle swarm optimisation; power loss minimization problem; radial distribution network; voltage limit; Conductors; Power systems; capacitor placement; conductor size; distribution system; loss reduction; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power Distribution Networks (EPDC), 2011 16th Conference on
Conference_Location :
Bandar Abbas
Print_ISBN :
978-1-4577-0666-0
Type :
conf
Filename :
5876385
Link To Document :
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