TY - JOUR
T1 - Congestion Management Method of Low-Voltage Active Distribution Networks Based on Distribution Locational Marginal Price
AU - Zhao, Jinli
AU - Wang, Yushuo
AU - Song, Guanyu
AU - Li, Peng
AU - Wang, Chengshan
AU - Wu, Jianzhong
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - Large-scale distributed energy resources, such as electric vehicles (EVs) asymmetric access to low-voltage distribution systems, may cause security problems, including line congestion, voltage violation, and three-phase unbalance. In this paper, a congestion management method of low-voltage active distribution networks is proposed. The soft open point, a flexible power electronic device, is considered as a direct control means to solve the congestion problem first. A semidefinite programming model based on a symmetrical component method is constructed to optimize the operation strategy that can be efficiently solved to meet the demands of rapid centralized control. To guide the charging behaviors of flexible load represented by EVs, a market mechanism suitable for the low-voltage unbalanced network is further considered. Though linear approximation and sensitivity analysis, a pricing model of flexible load is established accounting for the effect of network loss, voltage variation, voltage three-phase unbalance, and line overload to distribution locational marginal price. Case studies are carried out on the modified IEEE 33-node and IEEE 123-node system to verify the effectiveness and efficiency of the proposed method.
AB - Large-scale distributed energy resources, such as electric vehicles (EVs) asymmetric access to low-voltage distribution systems, may cause security problems, including line congestion, voltage violation, and three-phase unbalance. In this paper, a congestion management method of low-voltage active distribution networks is proposed. The soft open point, a flexible power electronic device, is considered as a direct control means to solve the congestion problem first. A semidefinite programming model based on a symmetrical component method is constructed to optimize the operation strategy that can be efficiently solved to meet the demands of rapid centralized control. To guide the charging behaviors of flexible load represented by EVs, a market mechanism suitable for the low-voltage unbalanced network is further considered. Though linear approximation and sensitivity analysis, a pricing model of flexible load is established accounting for the effect of network loss, voltage variation, voltage three-phase unbalance, and line overload to distribution locational marginal price. Case studies are carried out on the modified IEEE 33-node and IEEE 123-node system to verify the effectiveness and efficiency of the proposed method.
KW - Congestion management
KW - distribution locational marginal price (DLMP)
KW - semidefinite programming (SDP)
KW - sensitivity analysis
KW - soft open point (SOP)
KW - unbalance
UR - http://www.scopus.com/inward/record.url?scp=85063588848&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2903210
DO - 10.1109/ACCESS.2019.2903210
M3 - Article
AN - SCOPUS:85063588848
SN - 2169-3536
VL - 7
SP - 32240
EP - 32255
JO - IEEE Access
JF - IEEE Access
M1 - 8660634
ER -