中国电机工程学报2013，Vol.33Issue(4)：163-170,前插21,9.
基于扩展拉丁超立方采样的电力系统概率潮流计算
Probabilistic Load Flow Evaluation With Extended Latin Hypercube Sampling
丁明 1王京景 1李生虎1
作者信息
- 1. 合肥工业大学电气与自动化工程学院,安徽省合肥市230009
- 折叠
摘要
Abstract
For probabilistic load flow (PLF) analysis, Latin hypercube sampling (LHS) has higher efficiency than simple Monte Carlo simulation (MCS). But sample size should be known in advance and fixed in conventional LHS (CLHS). Due to these disadvantages of existing CLHS, extended LHS (ELHS) was proposed and applied in PLF analysis. Started with a LHS of sample size N and associated rank correlation, the extended procedure constructed a new LHS of sample size 2N. The new LHS contains the elements of the original LHS and has a rank correlation that is close to the original rank correlation. While increasing the sample size, the extended method retained the load flow results already obtained. Since the sample size could not be determined in advance, practical convergence criterion of ELHS was described by coefficient of variation ratio before and after the extension. PLF studies with MCS, CLHS, and ELHS were carried out on IEEE 30-bus and IEEE 118-bus test systems respectively. The proposed method could obtain convergence trend for ELHS at different sample sizes while the accuracy was maintained. The results verified the effectiveness, accuracy and expansibility of the proposed method.关键词
电力系统/概率潮流/相关性/拉丁超立方采样/扩展拉丁超立方采样/蒙特卡罗模拟法Key words
power systems/ probabilistic load flow (PLF)/ correlation/ Latin hypercube sampling (LHS)/ extended Latin hypercube sampling (ELHS)/ Monte Carlo simulation分类
信息技术与安全科学引用本文复制引用
丁明,王京景,李生虎..基于扩展拉丁超立方采样的电力系统概率潮流计算[J].中国电机工程学报,2013,33(4):163-170,前插21,9.
