TY - JOUR
T1 - Optimal Operation of Soft Open Points in Active Distribution Networks under Three-Phase Unbalanced Conditions
AU - Li, Peng
AU - Ji, Haoran
AU - Wang, Chengshan
AU - Zhao, Jinli
AU - Song, Guanyu
AU - Ding, Fei
AU - Wu, Jianzhong
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2019/1
Y1 - 2019/1
N2 - The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible power electronic device which can achieve accurate active and reactive power flow control to balance the power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks. By regulating the operation of SOPs, the strategy can reduce power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.
AB - The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible power electronic device which can achieve accurate active and reactive power flow control to balance the power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks. By regulating the operation of SOPs, the strategy can reduce power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.
KW - Active distribution network
KW - distributed generator (DG)
KW - semidefinite programming
KW - soft open point (SOP)
KW - unbalanced operation
UR - https://www.scopus.com/pages/publications/85028474802
U2 - 10.1109/TSG.2017.2739999
DO - 10.1109/TSG.2017.2739999
M3 - Article
AN - SCOPUS:85028474802
SN - 1949-3053
VL - 10
SP - 380
EP - 391
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 1
M1 - 8010861
ER -