Probabilistic total transfer capability analysis based on static voltage stability region integrated with a modified distributed-level nodal-loading model

Wang, Dan, Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714, Jia, HongJie, Wang, ChengShan, Lu, Ning and Fan, MengHua 2015. Probabilistic total transfer capability analysis based on static voltage stability region integrated with a modified distributed-level nodal-loading model. Science China Technological Sciences 58 (12) , pp. 2072-2084. 10.1007/s11431-015-5964-3

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Abstract

In this paper, a new evaluation method of probabilistic TTC based on SVSR calculation is developed through a hierarchical simulation. A smooth technology based on the non-parametric kernel estimator is adapted to obtain the time-dependent probabilistic density function of the feeder-head load data. In order to describe possible operating change directions of the operating point, the original hyper-cone-like (HCL) model is constructed to consider the probabilistic distribution function (PDF) extracted from feeder-head load data to replace the simple Normal Distribution model and the uncertain generator outputs. To realize the fast TTC calculation of the current operating point in random conditions, a sub-hyper-cone-like (SHCL) model in full power injections space is proposed, which is a similarity transformation of the original one.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering
Publisher:	Springer Link
ISSN:	1674-7321
Last Modified:	23 Oct 2022 13:44
URI:	https://orca.cardiff.ac.uk/id/eprint/111596

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