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

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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.

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Authors and Affiliations

  1. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, 300072, China

    Dan Wang, Yue Zhou, HongJie Jia & ChengShan Wang

  2. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27695-7911, USA

    Ning Lu

  3. State Grid Energy Research Institute, Beijing, 102209, China

    MengHua Fan

Authors
  1. Dan Wang
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  2. Yue Zhou
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  3. HongJie Jia
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  4. ChengShan Wang
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  5. Ning Lu
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  6. MengHua Fan
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Correspondence to Dan Wang.

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Wang, D., Zhou, Y., Jia, H. et al. Probabilistic total transfer capability analysis based on static voltage stability region integrated with a modified distributed-level nodal-loading model. Sci. China Technol. Sci. 58, 2072–2084 (2015). https://doi.org/10.1007/s11431-015-5964-3

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  • DOI: https://doi.org/10.1007/s11431-015-5964-3

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