Probabilistic power flow calculation using the Johnson system and Sobol's quasi‐random numbers-Reference-Cited by-同舟云学术

Probabilistic power flow calculation using the Johnson system and Sobol's quasi‐random numbers

Published:2016-09 Issue:12 Volume:10 Page:3050-3059
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Zhang Libo¹,Cheng Haozhong¹,Zhang Shenxi¹,Zeng Pingliang²,Yao Liangzhong²

Affiliation:

1. Key Laboratory of Control of Power Transmission and Conversion of Ministry of EducationShanghai Jiao Tong UniversityNo. 800 Dongchuan Road, Minhang DistrictShanghaiPeople's Republic of China

2. China Electric Power Research InstituteNo. 15 East Xiaoying Road, Haidian DistrictBeijingPeople's Republic of China

Funder

State Grid Corporation of China

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2016.0181

Reference33 articles.

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2. Simulation and the Monte Carlo Method

3. Probabilistic Load Flow Evaluation With Hybrid Latin Hypercube Sampling and Cholesky Decomposition

4. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

5. A stochastic power flow method based on polynomial normal transformation and quasi Monte Carlo simulation

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