In order to maximize the utilization of large-scale intermittent renewable energy
this paper proposes an area-distributed strategy for active and reactive power optimization in the smart distribution system with a large number of distributed generators. Firstly
the linear conic programming of the multi-period optimal power flow is developed. Then
some ancillary variables at the junction bus are introduced to decompose the distribution system into several separate subsystems. Moreover
the distributed optimization algorithm based on the local reweighted augmented Lagrangian method is proposed to realize the active and reactive power optimization in the whole network. Each subsystem only exchanges partial messages with its neighbors and solves the individual sub-optimization problem by itself in fully distributed manner without global coordinators. Communication complexity is reduced by the algorithm
and the independence of each subsystem is retained as much as possible. The simulation results show that the proposed strategy is of high calculating efficiency and good performance on convergence. This work is supported by National Natural Science Foundation of China(No. 51377142)and Zhejiang Provincial Natural Science Foundation of China(No. LQ15F030001).
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Related Author
PENG Hongyi
YAN Mingyu
ZHOU Yijia
PENG Hongyi
YAN Mingyu
ZHOU Yijia
LIU Hao
LIU Haitian
Related Institution
State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology)
State Key Laboratory of Advanced Electromagnetic Engineering and Technology (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology)
China Electric Power Planning & Engineering Institute
Department of Electrical Engineering, Tsinghua University
Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School