DocumentCode :
1788340
Title :
Optimal power flow based on glow worm-swarm optimization for three-phase islanded microgrids
Author :
Quang, Ninh Nguyen ; Sanseverino, Eleonora Riva ; Di Silvestre, Maria Luisa ; Madonia, Antonino ; Chendan Li ; Guerrero, Josep M.
Author_Institution :
DEIM, Univ. of Palermo, Palermo, Italy
fYear :
2014
fDate :
18-19 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an application of the Glowworm Swarm Optimization method (GSO) to solve the optimal power flow problem in three-phase islanded microgrids equipped with power electronics dc-ac inverter interfaced distributed generation units. In this system, the power injected by the distributed generation units and the droop control parameters are considered as variables to be adjusted by a superior level control. Two case studies with different optimized parameters have been carried out on a 6-bus test system. The obtained results showed the effectiveness of the proposed approach and overcomes the problem of OPF in islanded microgrids showing loads unbalance.
Keywords :
distributed power generation; invertors; load flow; optimisation; 6-bus test system; GSO; distributed generation units; droop control parameters; glow-worm swarm optimization; glowworm swarm optimization method; optimal power flow; optimal power flow problem; power electronics dc-ac inverter; three-phase islanded microgrids; Decision support systems; Indexes; Silicon; Smart grids; Sociology; Statistics; System-on-chip; Optimal power flow; glow-worm swarm optimization; islanded microgrid; three phase systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AEIT Annual Conference - From Research to Industry: The Need for a More Effective Technology Transfer (AEIT), 2014
Conference_Location :
Trieste
Print_ISBN :
978-8-8872-3724-5
Type :
conf
DOI :
10.1109/AEIT.2014.7002028
Filename :
7002028
Link To Document :
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