A multivariate dimension-reduction method for probabilistic power flow calculation-Reference-Cited by-同舟云学术

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A multivariate dimension-reduction method for probabilistic power flow calculation

Published:2016-12 Issue: Volume:141 Page:272-280
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Wu Wei,Wang Keyou,Li Guojie,Jiang Xiuchen,Feng Lin,Crow Mariesa L.

Funder

National Natural Science Foundation of China

National Key Technology R&D Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference21 articles.

1. An affine arithmetic-based methodology for reliable power flow analysis in the presence of data uncertainty;Vaccaro;IEEE Trans. Power Syst.,2010

2. A range arithmetic-based optimization model for power flow analysis under interval uncertainty;Vaccaro;IEEE Trans. Power Syst.,2013

3. Probability load flow using Monte Carlo techniques for distribution networks with photovoltaic generators;Conti;Sol. Energy,2007

4. Probabilistic load flow computation using Copula and Latin hypercube sampling;Cai;IET Gener. Transm. Distrib.,2014

5. Probability load flow by Monte Carlo simulation with Latin supercube sampling;Hajian;IEEE Trans. Power Syst.,2013

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3. A Novel Probabilistic Power Flow Algorithm Based on Principal Component Analysis and High-Dimensional Model Representation Techniques;Energies;2020-07-08

4. An efficient Nataf transformation based probabilistic power flow for high-dimensional correlated uncertainty sources in operation;International Journal of Electrical Power & Energy Systems;2020-03

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