AC-constrained Optimal Power Flow Considering Wind Power Generation Uncertainty in Radial Power Networks

被引：0

作者：

Liu Bin ^{[1
]}

Liu Feng ^{[1
]}

Mei Shengwei ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Control & Simulat Power Syst & Gene, Beijing 100084, Peoples R China

来源：

2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年

关键词：

optimal power flow; wind power; stochastic optimization; radial power networks; uncertainty set; MODEL RELAXATIONS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wind power generation uncertainty has imposed great challenge on power systems' operation and should be considered when making an operation strategy. In this paper, we focus on optimal power flow (OPF) problem in radial power networks while considering wind power generation uncertainty. To cope with this uncertainty, the stochastic AC-constrained OPF (ACOPF) problem considering both continuous and discrete devices is formulated based on our previous work. The second order cone relaxation is employed to relax the original mixed integer nonconvex nonlinear programming (MINNLP) problem to a mixed integer second order cone programming (MISOCP) problem which can be solved by commercial solvers with high computation efficiency. The modified IEEE 33 bus distribution system is studied in this paper which validate the effectiveness of the proposed model.

引用

页码：2797 / 2801

页数：5

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