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

For a power system operating in the vicinity of the power transfer limit ofits transmission system, effect of stochastic fluctuations of power loads canbecome critical as a sufficiently strong such fluctuation may activate voltageinstability and lead to a large scale collapse of the system. Considering theeffect of these stochastic fluctuations near a codimension 1 saddle-nodebifurcation, we explicitly calculate the autocorrelation function of the statevector and show how its behavior explains the phenomenon of criticalslowing-down often observed for power systems on the threshold of blackout. Wealso estimate the collapse probability/mean clearing time for the power systemand construct a new indicator function signaling the proximity to a large scalecollapse. The new indicator function is easy to estimate in real time using PMUdata feeds as well as SCADA information about fluctuations of power load on thenodes of the power grid. We discuss control strategies leading to theminimization of the collapse probability.

Random load fluctuations and collapse probability of a power system operating near codimension 1 saddle-node bifurcation