A Parallel Probabilistic Load Flow Method Considering Nodal Correlations

A Parallel Probabilistic Load Flow Method Considering Nodal Correlations

With the introduction of more and more random factors in power systems, probabilistic load flow (PLF) has become one of the most important tasks for power system planning and operation. Cumulants-based PLF is an effective algorithm to calculate PLF in an analytical way, however, the correlations amo...

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Bibliographic Details
Main Authors: Jun Liu, Xudong Hao, Peifen Cheng, Wanliang Fang, Shuanbao Niu
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Energies
Subjects:
correlation matrix
Correlation Latin hypercube sampling Monte Carlo Simulation (CLMCS)
cumulants
distributed generation (DG)
parallel computing
probabilistic load flow (PLF)
Online Access:http://www.mdpi.com/1996-1073/9/12/1041

Internet

http://www.mdpi.com/1996-1073/9/12/1041

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