An Improved Analytical Methodology for Joint Distribution in Probabilistic Load Flow

An Improved Analytical Methodology for Joint Distribution in Probabilistic Load Flow

This paper presents a novel analytical method based on improved Gaussian mixture model (GMM) to solve the probabilistic load flow problem. The proposed method accounts for the uncertainty introduced due to increasing percentages of renewable generation. First, the joint probability density functio...

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Bibliographic Details
Main Authors: WANG, T., XIANG, Y., LI, C., MI, D., WANG, Z.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2020-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
gaussian mixture model
maximum likelihood estimation
genetic algorithm
density function
distribution
Online Access:http://dx.doi.org/10.4316/AECE.2020.01007

Internet

http://dx.doi.org/10.4316/AECE.2020.01007

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