TY - JOUR
T1 - Coordinating self-healing control of bulk power transmission system based on a hierarchical top-down strategy
AU - Cao, Xi
AU - Wang, Hongtao
AU - Liu, Yutian
AU - Azizipanah-Abarghooee, Rasoul
AU - Terzija, Vladimir
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Top-down power system restoration following a widespread blackout begins with energization of the backbone transmission network. All interconnected regions will be restored as a whole, which needs collaboration of multiple operators. The parallel control and integrated restoration planning issues have to be addressed. In order to conduct an efficient top-down restoration process and guarantee the operational security, a hierarchical coordination mechanism and an online decision support system-based self-healing approach are proposed. Considering the multiple decision-making problems involved, an associated bi-level optimization model is built, which integrates the planning problems of backbone reconfiguration, sub-transmission system restoration, and non-black-start units start-up. Then, a solution methodology is developed to provide online decisions based on the model. Simulation results of Shandong Power System in China show that the restoration performance is significantly improved using the proposed control approach. Additionally, the decision method is proved to be efficient enough for online applications.
AB - Top-down power system restoration following a widespread blackout begins with energization of the backbone transmission network. All interconnected regions will be restored as a whole, which needs collaboration of multiple operators. The parallel control and integrated restoration planning issues have to be addressed. In order to conduct an efficient top-down restoration process and guarantee the operational security, a hierarchical coordination mechanism and an online decision support system-based self-healing approach are proposed. Considering the multiple decision-making problems involved, an associated bi-level optimization model is built, which integrates the planning problems of backbone reconfiguration, sub-transmission system restoration, and non-black-start units start-up. Then, a solution methodology is developed to provide online decisions based on the model. Simulation results of Shandong Power System in China show that the restoration performance is significantly improved using the proposed control approach. Additionally, the decision method is proved to be efficient enough for online applications.
KW - Bi-level optimization
KW - Coordination mechanism
KW - Decision support system
KW - Power system restoration
UR - https://www.scopus.com/pages/publications/85013168663
U2 - 10.1016/j.ijepes.2017.02.004
DO - 10.1016/j.ijepes.2017.02.004
M3 - Article
AN - SCOPUS:85013168663
SN - 0142-0615
VL - 90
SP - 147
EP - 157
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
ER -