Research on high proportion of clean energy grid-connected oscillation risk prediction technology based on CNN and trend feature analysis.

ABSTRACT: Oscillations, commonly known as a universal, propagative, and intricate event in the new power system, often give rise to generator tripping and load shedding, not only adversely affecting the power flow limit and the power angle stability but also posing threats to the lines of defense for stability and protection. Traditionally, emphasis has been laid on post-fault oscillation management, an emergency measure to deal with the impact and damage that have already affected the power grid. As such, this paper focuses on an oscillation prediction technique to detect oscillation energy early and intervene proactively to prevent further faults. This technique effectively lessens the damage caused by impacts and disconnects to the power grid. Firstly, this paper proposes the concept of disturban

SUBMITTER: Pu W 

PROVIDER: S-EPMC10719258 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature