Probabilistic power flow computation using nested point estimate method

Author:

Xiao Qing1ORCID,Wu Lianghong1ORCID,Chen Chaoyang1ORCID

Affiliation:

1. School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan Hunan Province China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference42 articles.

1. Probabilistic forecasts of the distribution grid state using data‐driven forecasts and probabilistic power flow;González‐Ordiano J.Á.;Appl. Energy,2021

2. GPU‐OpenCL accelerated probabilistic power flow analysis using Monte‐carlo simulation;Abdelaziz M.;Electr. Power Syst. Res.,2017

3. GPU‐accelerated algorithm for online probabilistic power flow;Zhou G.;IEEE Trans. Power Syst. 33(1), 1132–1135 (2018) Zhang, L., Cheng, H., Zhang, S., Zeng, P., Yao, L.: Probabilistic power flow calculation using the Johnson system and Sobol quasirandom numbers. IET Gener., Transm. Distrib.,2016

4. Probabilistic power flow calculation based on importance‐Hammersley sampling with eigendecomposition;Li Q.;International J. Electr. Power Energy Syst.,2021

5. Probabilistic load flow evaluation considering correlated input random variables

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