Risk Assessment Method for Distribution Network Based on Probabilistic Load Flow
Authors: 
Can Wang, Zhihao Ning, Jiazhu Xu, Longtao JiaAuthors Info & Claims
Can Wang, Zhihao Ning, Jiazhu Xu, Longtao JiaAuthors Info & ClaimsArticle No.: 41, Pages 1 - 6
Abstract
In order to explore the influence of multiple wind turbines with correlation on distribution network and reasonably evaluate the operation state of distribution network, a probabilistic load flow calculation method based on orthogonal transformation and cumulant method is proposed. Firstly, an appropriate Copula function is chosen to depict the correlation of wind turbines outputs using rank correlation coefficient and squared Euclidean distance. Secondly, orthogonal transformation is used to transform the correlated power outputs into uncorrelated variables. Finally, the cumulant method combined with Cornish-Fisher expansion is applied to calculate the probability distributions of node voltage and branch current, and the risk assessment of the operating state of distribution network is carried out. The accuracy and rapidity of proposed method are verified by comparison with Monte Carlo method on a typical 34-node system.
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Published In
December 2019
870 pages
ISBN:9781450372930
DOI:10.1145/3386415
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Published: 30 May 2020
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ICITEE-2019
ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering
December 6 - 7, 2019
Hunan, Zhuzhou, China
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