Probabilistic Load Flow Method Based on Nataf Transformation and Latin Hypercube Sampling

被引：275

作者：

Chen, Yan ^{[1
]}

Wen, Jinyu ^{[1
]}

Cheng, Shijie ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Coll Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Peoples R China

来源：

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY | 2013年 / 4卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Correlation; Latin hypercube sampling; Monte Carlo simulation; Nataf transformation; probabilistic load flow; POWER-FLOW; PERFORMANCE; DEPENDENCE; SYSTEMS;

D O I：

10.1109/TSTE.2012.2222680

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper proposed a probabilistic load flow method that can address the correlated power sources and loads. The proposed probabilistic load flow method is based on the Nataf transformation and the Latin Hypercube Sampling. The main advantage of the proposed method is that high accurate solution can be obtained with less computation. Also, it is almost unconstrained for the probability distributions of the input random variables. Considering the uncertainties of correlated wind power, solar energy and loads, the effectiveness and the accuracy of the proposed probabilistic load flow method are verified by the comparative tests in a modified IEEE 14-bus system and a modified IEEE 118-bus system.

引用

页码：294 / 301

页数：8

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