Probabilistic Multi-Stability Assessment in Power Systems with Uncertain Wind Generation

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Abstract

This paper presents the application of a
probabilistic multi-stability assessment of a modified two-area
system under the presence of low and high uncertainty sources.
The stability of the network is assessed under four stability
regimes: frequency, small-signal rotor angle, large-signal rotor
angle, and long-term voltage. The probabilistic assessment is
carried out using Monte Carlo simulation. Two cases
considering low and high uncertainty are investigated. The
obtained results are presented in the form of parallel coordinate
plots so that the interaction between multiple stability regimes
can be more easily understood. It is observed that the poor
response of small-signal rotor angle stability generally
corresponds to poor response of other stability types in low
uncertainty case. However, once the level of uncertainty
increases and more sources of uncertainty exist, this
relationship is significantly changed.

Bibliographical metadata

Original languageEnglish
Title of host publicationThe 16th International Conference on Probabilistic Methods Applied to Power Systems
Publication statusAccepted/In press - 12 May 2020
Event16th International Conference on Probabilistic Methods Applied to Power Systems - Liege, Belgium
Event duration: 18 Aug 202021 Aug 2020

Conference

Conference16th International Conference on Probabilistic Methods Applied to Power Systems
Abbreviated titlePMAPS 2020
CountryBelgium
CityLiege
Period18/08/2021/08/20