A Probabilistic Assessment Method for Voltage Stability Considering Large Scale Correlated Stochastic Variables

IEEE Access

Peijia Yu¹  Ying Zhang²  Gang Yao²  Ke Meng³  Zhaoyang Dong³  Guojiang Xiong⁴  Xiangping Chen⁴  Luqin Fan⁴  Jing Zhang⁴ 

[1] College of Computer Science and Technology, Guizhou University, Guiyang, China;Guizhou Power Grid Company, Guiyang, China;School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia;School of Electrical Engineering, Guizhou University, Guiyang, China;

关键词: Correlation;    Latin hypercube sampling;    Monte Carlo simulation;    probabilistic voltage stability;    singular value decomposition;    stochastic variables;   

DOI  :  10.1109/ACCESS.2019.2963280

来源: DOAJ

【 摘 要 】

Voltage stability has always been one of the most important concerns. As the increasing integration of large-scale renewable energy sources in power systems, the correlation between load demands and renewable energy systems becomes more and more complex and important for probabilistic voltage stability. There are two significant issues for probabilistic voltage stability assessment: (i) how to choose the reasonable power increment direction which determines the reliability of voltage stability assessment when considering the actual operating characteristics of the power system; and (ii) how to obtain the samples characterized with the specified distribution and the desired correlation. We propose methodologies to define the reasonable power increment direction with theoretical proof. Moreover, power method transformation combined with Latin hypercube sampling and twice-permutation technique is proposed for probabilistic voltage stability assessment. Case studies with two modified IEEE test systems show that the proposed method is accurate and efficient.

【 授权许可】

Unknown