Research on Cross-Circuitry Fault Identification Method for AC/DC Transmission System Based on Blind Signal Separation Algorithm

Energies, Год журнала: 2025, Номер 18(6), С. 1395 - 1395

Опубликована: Март 12, 2025

The AC/DC transmission system is an important component of the power system, and cross-circuitry Fault diagnosis plays role in ensuring normal operation equipment personal safety. traditional detection methods have characteristics complex processes low fault line identification rates. Aiming at such problems, this paper proposes a new method based on blind signal separation algorithm. Firstly, takes typical scenario as example to construct topology diagram system. Then, electrical signals AC DC are collected, collected extracted by aiming problem quantities positive negative poles rectifier side inverter analyzed wavelet determine fault. At same time, three types Fault, ground fault, intact set up, A, B, C side, three-phase wavelet. Finally, judgment interval basis judgment. After experimental verification, relative error model 1.4683%. crossline source algorithm proposed can accurately identify location type. It also provides theoretical support for maintenance personnel maintain equipment.

Язык: Английский

Probabilistic Power Forecasting for Wind Farm Clusters Using Moran-Graph Network With Posterior Feedback Attention Mechanism

Energy, Год журнала: 2025, Номер unknown, С. 136558 - 136558

Опубликована: Май 1, 2025

Язык: Английский