DocumentCode :
570562
Title :
Analysis of the impact of DG on distribution network reconfiguration using OpenDSS
Author :
Nie, Song ; Fu, Xiao-peng ; Li, Peng ; Gao, Fei ; Ding, Cheng-di ; Yu, Hao ; Wang, Cheng-shan
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
The integration of distributed energy resources into low and medium voltage networks will have profound impact on distribution network reconfiguration. In this paper, the impact of DG on distribution network reconfiguration is analyzed in both normal operation and post-fault scenarios with different load levels. Distribution system simulation is performed with the Open Distribution Simulator Software (OpenDSS). Due to the intrinsic nonlinear and non-differentiable mixed-integer nature of the problem, simulated annealing is used as the optimization algorithm. Using the proposed method, a case study of IEEE 33-bus system gives positive conclusions: in normal operation, the integration of DG increases the number of distribution network reconfiguration feasible solutions and reduces the total network loss of the optimal solution; while in post-fault condition, feasible solution can emerge with the integration of DG where there isn´t any feasible solution originally. The integration of DG helps to ensure network power supply.
Keywords :
IEEE standards; distributed power generation; distribution networks; energy resources; fault diagnosis; power engineering computing; power supplies to apparatus; simulated annealing; DG; IEEE 33- bus system; OpenDSS; distributed energy resources; distributed generation; distribution network reconfiguration; distribution system simulation; intrinsic nonlinear nature; load levels; low voltage networks; medium voltage networks; network power supply; nondifferentiable mixed-integer nature; normal operation; open distribution simulator software; optimization algorithm; post-fault condition; simulated annealing; Admittance; Automation; Educational institutions; Electrical engineering; Load flow; Load modeling; Simulated annealing; distributed generation (DG); distribution network reconfiguration; fault reconfiguration; loss reduction; network feasible solution; network optimal solution; simulated annealing (SA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
Type :
conf
DOI :
10.1109/ISGT-Asia.2012.6303390
Filename :
6303390
Link To Document :
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