DocumentCode :
249167
Title :
Comparative analysis of particle swarm optimization variants on distributed generation allocation for network loss minimization
Author :
Kumar, Tanesh ; Thakur, Tripta
Author_Institution :
Electr. Eng. Dept., MANIT, Bhopal, India
fYear :
2014
fDate :
19-20 Aug. 2014
Firstpage :
167
Lastpage :
171
Abstract :
Increase in installation and integration of various small scale power generation technologies into the electrical grid has directed the attention of many researchers to the impact these sources can have on the performance of grid. Optimal location and sizing reduces network losses and also contributes to voltage profile improvement. This paper presents a comparative analysis of three Particle swarm optimization (PSO) technique variants for the optimal location and sizing of a single Distributed generation (DG) unit in a modified IEEE 16 bus system to minimize total active power losses occurring in the system. The DG has been modeled as a generator bus with three different inertia weight strategies of PSO and effects on the network losses and the voltage profile has been presented.
Keywords :
electric generators; electric power generation; particle swarm optimisation; power distribution; power grids; DG unit; PSO technique; distributed generation allocation; electrical grid; generator bus; grid performance; inertia weight strategies; modified IEEE 16 bus system; network loss minimization; network losses; particle swarm optimization variants; power generation technologies; single distributed generation unit; total active power loss minimization; voltage profile improvement; Distributed power generation; Genetic algorithms; Optimization; Particle swarm optimization; Propagation losses; Resource management; Distributed Generation; Linearly Varying Inertia weight; Optimal sizing; Particle swarm optimization variants; Power loss reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks & Soft Computing (ICNSC), 2014 First International Conference on
Conference_Location :
Guntur
Print_ISBN :
978-1-4799-3485-0
Type :
conf
DOI :
10.1109/CNSC.2014.6906682
Filename :
6906682
Link To Document :
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