TY - JOUR
T1 - Coordinated Voltage Control in Unbalanced Distribution Networks with Two-stage Distributionally Robust Chance-constrained Receding Horizon Control
AU - Zhang, Zhengfa
AU - Silva, Filipe Miguel Faria da
AU - Guo, Yifei
AU - Bak, Claus Leth
AU - Chen, Zhe
PY - 2022/10
Y1 - 2022/10
N2 - The integration of increasing share of renewable based distributed generation in distribution networks brings great challenges to voltage control. To address this issue, this paper presents a two-stage distributionally robust chance-constrained receding horizon control algorithm. In the proposed method, the distributionally robust chance-constrained reformulation of chance-constrained voltage control is derived, which is not only accurate, but also computationally efficient. Rather than perfect knowledge about the uncertainty associated with renewable generation, the proposed method only requires partial information of the underlying probability distribution. In addition, the mechanical voltage regulation devices and the DG inverters are controlled in two stages, considering their different characteristics in voltage control. By taking into account both the current and forecasted renewable generation, the proposed method utilizes receding horizon control to determine the control actions of voltage regulation devices. The effectiveness of the proposed method is demonstrated by case studies on unbalanced IEEE-123 bus system.
AB - The integration of increasing share of renewable based distributed generation in distribution networks brings great challenges to voltage control. To address this issue, this paper presents a two-stage distributionally robust chance-constrained receding horizon control algorithm. In the proposed method, the distributionally robust chance-constrained reformulation of chance-constrained voltage control is derived, which is not only accurate, but also computationally efficient. Rather than perfect knowledge about the uncertainty associated with renewable generation, the proposed method only requires partial information of the underlying probability distribution. In addition, the mechanical voltage regulation devices and the DG inverters are controlled in two stages, considering their different characteristics in voltage control. By taking into account both the current and forecasted renewable generation, the proposed method utilizes receding horizon control to determine the control actions of voltage regulation devices. The effectiveness of the proposed method is demonstrated by case studies on unbalanced IEEE-123 bus system.
KW - Distributed generation
KW - Distribution network
KW - Distributionally robust chance-constrained
KW - Receding horizon control
KW - Voltage control
UR - http://www.scopus.com/inward/record.url?scp=85137075305&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2022.08.086
DO - 10.1016/j.renene.2022.08.086
M3 - Journal article
SN - 0960-1481
VL - 198
SP - 907
EP - 915
JO - Renewable Energy
JF - Renewable Energy
ER -