Uncertain Power Flow Analysis Based on Evidence Theory and Affine Arithmetic

被引：29
|
作者：
Luo, Jinqing [1 ]
Shi, Libao [1 ]
Ni, Yixin [1 ]
机构：
[1] Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R China
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2018年 / 33卷 / 01期
关键词：
Affine arithmetic; evidence theory; power flow analysis; uncertain systems; PROPAGATION;
D O I：
10.1109/TPWRS.2017.2691539
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 uncertain power flow analysis method is proposed in this letter. It utilizes evidence theory to fuse probabilistic, possibilistic, and interval uncertainties. Besides, the extended affine arithmetic is applied to handle variable dependencies existed in power flow. The final analysis results are represented as probability boxes (p-boxes). The comparisons with Monte Carlo simulation are given to demonstrate the validity of the proposed method.
引用
收藏
页码：1113 / 1115
页数：3
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