English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Due to the evolving nature of power grids and model uncertainty, the onlinestability assessment of electrical power systems is always a challengingproblem. This paper aims to provide a theoretical framework for estimating theregion of attraction for power systems in real time. By analyzing and learningthe measurement data in a given time duration, a windowed online Gaussianprocess (GP) approach is developed to provide the real-time security assessmentand quantify the uncertainty caused by measurement errors and dynamic evolutionof power systems. In addition, the theoretical analysis is conducted to ensurethe conference level of the estimated region of attraction. Finally, numericalsimulations are implemented on a microgrid model with $9$ buses and $3$generators to validate the proposed approach. The proposed online assessmentapproach contributes to improving the situational awareness of human operators,thereby taking remedial actions before the emergency.

Dynamic Security Assessment of Small-Signal Stability for Power Systems using Windowed Online Gaussian Process