Bayesian Network Based Imprecise Probability Estimation Method for Wind Power Ramp Events
Although wind power ramp events (WPREs) are relatively scarce, they can inevitably deteriorate the stability of power system operation and bring risks to the trading of electricity market. In this paper, an imprecise conditional probability estimation method for WPREs is proposed based on the Bayesi...
Guardado en:
Autores principales: | Yuanchun Zhao, Wenli Zhu, Ming Yang, Mengxia Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8ddcef56bf714c4e87e537d7f819e111 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Engineering Design under Imprecise Probabilities: Computational Complexity
por: Kreinovich,Vladik
Publicado: (2011) -
Zhongguo dianli
Publicado: (2021) -
System bias correction of short-term hub-height wind forecasts using the Kalman filter
por: Jingjing Xu, et al.
Publicado: (2021) -
Voltage control and virtual synchronous generator control of HVDC interconnection line for improving stability of power system including large‐scale wind farm
por: Ayaka Nakamura, et al.
Publicado: (2021) -
Incorporation of wind power probabilities into long-term energy system development analysis using bottom-up models
por: Egidijus Norvaiša, et al.
Publicado: (2021)