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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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Video Experimental Relacionado

Updated: Sep 10, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Desarrollo de algoritmos robustos para la estimación de frecuencias en redes inteligentes

Yongqian Yu1, Yi Yang1, Xinyang Wang1

  • 1School of Computer & Communication Engineering, University of Science & Technology Beijing, Beijing, 100083, China.

Scientific reports
|August 26, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo algoritmo de media cuadrada mínima complejo mejorado (ACLMS) y una versión de tamaño de paso variable (VSS-IACLMS) ofrecen una estimación de frecuencia robusta en sistemas de potencia, incluso con ruido impulsivo.

Palabras clave:
El IACLMSRuido impulsivoEstimación robusta de la frecuenciaLas redes inteligentesSistemas de energía trifásicos desequilibradosVSS-IACLMS y sus derivados

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Área de la Ciencia:

  • Ingeniería eléctrica
  • Procesamiento de señales
  • Sistemas de energía

Sus antecedentes:

  • El algoritmo de menor cuadrado complejo aumentado (ACLMS) es efectivo para la estimación de la frecuencia en sistemas de potencia trifásicos desequilibrados.
  • ACLMS se basa en la norma [Fórmula: ver texto], lo que limita su rendimiento en entornos de ruido impulsivo comunes en las redes inteligentes.

Objetivo del estudio:

  • Desarrollar un algoritmo generalizado de ACLMS (IACLMS) robusto para el ruido de cola pesada.
  • Diseñar un algoritmo IACLMS de tamaño de paso variable (VSS-IACLMS) para mejorar la convergencia y la precisión.

Principales métodos:

  • El algoritmo IACLMS sustituye la norma [Fórmula: véase el texto] por una norma [Fórmula: véase el texto] para la robustez acústica.
  • El algoritmo VSS-IACLMS incorpora un tamaño de paso variable en el marco IACLMS.
  • Ambos algoritmos utilizan un modelo de valor complejo ampliamente lineal y la transformación de Clarke.

Principales resultados:

  • Los algoritmos IACLMS y VSS-IACLMS propuestos demuestran una robustez superior y una convergencia más rápida en comparación con los ACLMS.
  • VSS-IACLMS supera a IACLMS, logrando un rendimiento de error cuadrado medio cercano al límite inferior de Cramér-Rao.

Conclusiones:

  • El IACLMS y el VSS-IACLMS proporcionan soluciones efectivas para la estimación de frecuencias en sistemas de energía ruidosos.
  • VSS-IACLMS ofrece una mayor precisión y convergencia, lo que lo hace muy adecuado para aplicaciones de redes inteligentes.