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

Wang, Dan, Zhou, Yue, 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: Engineering
Publisher: Springer Link
ISSN: 1674-7321
Last Modified: 04 Jul 2018 16:29
URI: http://orca.cf.ac.uk/id/eprint/111596

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