DocumentCode :
647974
Title :
Maximizing delivery capability of unbalanced distribution networks for high penetration of distributed generation
Author :
Liu Jian ; Hsiao-Dong Chiang
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Reconfiguration technique has been used to reduce networks losses, balance user loads and restore power supply after a power outage in a distribution system. With a large amount of uncontrollable distributed generation (DG) added into the distribution system, reconfiguration technique is also applied to deal with the interconnection capability of DG in a network. This paper aims to obtain the maximum DG power injection into the system, while satisfying current, voltage constraints and large enough load margin. A method based on reconfiguration technique to solve the issue aforementioned is presented. The Binary Particle Swarm Optimization (BPSO) is employed to solve the discrete nonlinear optimization problem. IEEE123 case, an unbalance three-phase distribution system, is used to verify the availability of the proposed methodology and the results from the simulation demonstrate the method proposed efficiency.
Keywords :
distributed power generation; particle swarm optimisation; power distribution reliability; power generation reliability; BPSO; IEEE123; binary particle swarm optimization; delivery capability maximization; discrete nonlinear optimization problem; high distributed generation penetration; interconnection capability; load margin; maximum DG power injection; networks losses reduction; power outage; power supply restoration; reconfiguration technique; unbalance three-phase distribution system; unbalanced distribution networks; voltage constraints; Distributed power generation; Educational institutions; Load flow analysis; Loading; Network topology; Particle swarm optimization; BPSO; delivery capability; distributed generation; reconfiguration; scenario; time varying;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672527
Filename :
6672527
Link To Document :
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