Worst-Case Sensitivity of DC Optimal Power Flow Problems

被引:0
|
作者
Anderson, James [1 ,2 ]
Zhou, Fengyu [3 ]
Low, Steven H. [3 ,4 ]
机构
[1] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA
[2] Columbia Univ, Data Sci Inst, New York, NY 10027 USA
[3] CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA
[4] CALTECH, Dept Comp & Math Sci, Pasadena, CA 91125 USA
关键词
D O I
10.23919/acc45564.2020.9147770
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we consider the problem of analyzing the effect a change in the load vector can have on the optimal power generation in a DC power flow model. The methodology is based upon the recently introduced concept of the OPF operator. It is shown that for general network topologies computing the worst-case sensitivities is computationally intractable. However, we show that certain problems involving the OPF operator can be equivalently converted to a graphical discrete optimization problem. Using the discrete formulation, we provide a decomposition algorithm that reduces the computational cost of computing the worst-case sensitivity. A 27-bus numerical example is used to illustrate our results.
引用
收藏
页码:3156 / 3163
页数:8
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