Probabilistic Power Flow by Monte Carlo Simulation With Latin Supercube Sampling

被引：184

作者：

Hajian, Mahdi ^{[1
]}

Rosehart, William D. ^{[1
]}

Zareipour, Hamidreza ^{[1
]}

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Schulich Sch Engn, Calgary, AB T2N 1N4, Canada

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2013年 / 28卷 / 02期

关键词：

Latin supercube sampling; Monte Carlo simulation; probabilistic power flow; GRAM-CHARLIER EXPANSION; LOAD-FLOW; COMBINED CUMULANTS; INPUT VARIABLES; COMPUTATION; DISCREPANCY; SYSTEMS;

D O I：

10.1109/TPWRS.2012.2214447

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

In this paper, a Latin supercube sampling (LSS) combined with Monte Carlo simulation is presented to efficiently sample random variables in the probabilistic power flow (PPF) problem. The results of the LSS method are compared with other techniques, namely Latin hypercube sampling (LHS) and simple random sampling (SRS), using bin-by-bin histogram comparison. The simulation results are presented for the case of IEEE 118-bus test system.

引用

页码：1550 / 1559

页数：10

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