A Geometric Programming to Importance Sampling for Power System Reliability Evaluation

被引：16

作者：

Yan, Chao ^{[1
]}

Ding, Tao ^{[1
]}

Bie, Zhaohong ^{[1
]}

Wang, Xifan ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2017年 / 32卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Geometric programming (GP); importance sampling (IS); power system reliability; variance minimization (VM); CROSS-ENTROPY;

D O I：

10.1109/TPWRS.2016.2568751

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel Geometric Programming (GP) is presented in the first time by the optimization model of importance sampling parameters (ISP) in Variance Minimization (VM) for importance sampling (IS) of power system reliability evaluation. The key point of the proposed method is that the equality constraints of VM optimization model can be relaxed into inequalities because of its special structure, thus a new GP-VM convex optimization model can be built exactly to solve the difficulty of obtaining the optimal ISP. Numerical results of two test systems verify the effectiveness of the proposed method.

引用

页码：1568 / 1569

页数：2

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