DocumentCode :
3582564
Title :
A Distribution Network Reconfiguration based on PSO: Considering DGs sizing and allocation evaluation for voltage profile improvement
Author :
Nasir, M.N.M. ; Shahrin, N.M. ; Bohari, Z.H. ; Sulaima, M.F. ; Hassan, M.Y.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Melaka, Malaysia
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
The optimized network reconfiguration and Distributed Generations (DG) sizing with allocation instantaneously via Particle Swarm Optimization (PSO) proposed a new way of allocation DG based on low voltage profile. This method consists of three steps. It started with categorized the switching sequences for radial network configuration while observe the P losses and the profile of voltage without DG. The second step is reconfiguration feeder for reduce losses via DGs allocation based on substations geographical location. The final step is sizing and allocation DGs at each bus with low voltage profile produced from the first step, used to mend the voltage profile and minimize the Plosses also compared the result with the geographical based allocation results. The objective of this study is to mend the voltage profile while decreasing the Plosses by using optimization technique considering network reconfiguration, DGs Sizing and allocation concurrently. Four cases are compared which is case 1 is the initial case and taken as a reference. All three stages are tested on standards IEEE 33 bus system by using Particle Swarm Optimization (PSO) technique in MATLAB software. This method proved that improvement of Plosses and voltage profile has been made by change of the switching topology with DGs sizing and allocation technique respectively.
Keywords :
distributed power generation; distribution networks; particle swarm optimisation; substations; DG sizing; IEEE 33 bus system; MATLAB software; PSO; PSO technique; distributed generations; distribution network reconfiguration; optimization technique; particle swarm optimization; radial network configuration; substations geographical location; switching topology; voltage profile; voltage profile improvement; Genetic algorithms; Low voltage; Optimization; Particle swarm optimization; Resource management; Sociology; Statistics; Distributed Generation (DG); Distribution Network Reconfiguration (DNR); Particle Swarm Optimization (PSO); Plosses; voltage profile;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development (SCOReD), 2014 IEEE Student Conference on
Print_ISBN :
978-1-4799-6427-7
Type :
conf
DOI :
10.1109/SCORED.2014.7072981
Filename :
7072981
Link To Document :
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