TY - GEN
T1 - Analysis of the impact of DG on distribution network reconfiguration using OpenDSS
AU - Nie, Song
AU - Fu, Xiao Peng
AU - Li, Peng
AU - Gao, Fei
AU - Ding, Cheng Di
AU - Yu, Hao
AU - Wang, Cheng Shan
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - distributed generation (DG)
KW - distribution network reconfiguration
KW - fault reconfiguration
KW - loss reduction
KW - network feasible solution
KW - network optimal solution
KW - simulated annealing (SA)
UR - http://www.scopus.com/inward/record.url?scp=84868568000&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Asia.2012.6303390
DO - 10.1109/ISGT-Asia.2012.6303390
M3 - Conference contribution
AN - SCOPUS:84868568000
SN - 9781467312219
T3 - 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012
BT - 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012
T2 - 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia
Y2 - 21 May 2012 through 24 May 2012
ER -
