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Probabilistic Assessment and Sensitivity Analysis in Stability Studies

Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

This chapter discusses the overall approach used for load model parameter ranking comprising three essential parts, namely, probabilistic assessment, sensitivity analysis, and stochastic dependence. The chapter discusses each of them and how they were implemented. More specifically, the probabilistic assessment method is used for determining the required accuracy levels of different load model parameters, the sensitivity analysis techniques are used for ranking power system load model parameters, and the stochastic dependence is used to investigate the influence of correlation between load model parameters.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.State Grid Corporation of ChinaShanghaiChina

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