TY - JOUR
T1 - A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting
AU - Ding, Tao
AU - Li, Cheng
AU - Huang, Can
AU - Yang, Yongheng
AU - Li, Fangxing
AU - Blaabjerg, Frede
PY - 2018/9
Y1 - 2018/9
N2 - In order to solve the reactive power optimization with joint transmission and distribution networks, a hierarchical modeling method is proposed in this paper. It allows the reactive power optimization of transmission and distribution networks to be performed separately, leading to a master–slave structure and improves traditional centralized modeling methods by alleviating the big data problem in a control center. Specifically, the transmission-distribution-network coordination issue of the hierarchical modeling method is investigated. First, a curve-fitting approach is developed to provide a cost function of the slave model for the master model, which reflects the impacts of each slave model. Second, the transmission and distribution networks are decoupled at feeder buses, and all the distribution networks are coordinated by the master reactive power optimization model to achieve the global optimality. Numerical results on two test systems verify the effectiveness of the proposed hierarchical modeling and curve-fitting methods.
AB - In order to solve the reactive power optimization with joint transmission and distribution networks, a hierarchical modeling method is proposed in this paper. It allows the reactive power optimization of transmission and distribution networks to be performed separately, leading to a master–slave structure and improves traditional centralized modeling methods by alleviating the big data problem in a control center. Specifically, the transmission-distribution-network coordination issue of the hierarchical modeling method is investigated. First, a curve-fitting approach is developed to provide a cost function of the slave model for the master model, which reflects the impacts of each slave model. Second, the transmission and distribution networks are decoupled at feeder buses, and all the distribution networks are coordinated by the master reactive power optimization model to achieve the global optimality. Numerical results on two test systems verify the effectiveness of the proposed hierarchical modeling and curve-fitting methods.
KW - Curve fitting
KW - decomposition
KW - hierarchical modeling
KW - joint networks
KW - reactive power optimization
UR - http://www.scopus.com/inward/record.url?scp=85009932330&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2016.2642218
DO - 10.1109/JSYST.2016.2642218
M3 - Journal article
AN - SCOPUS:85009932330
SN - 1932-8184
VL - 12
SP - 2739
EP - 2748
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 3
M1 - 7811214
ER -