Adjoint sensitivity analysis for numerical weather pbkp_rediction: Applications to power grid optimization
Abstract:
We present an approach to estimate adjoint sensitivities of economic metrics of relevance in the power grid with respect to physical weather variables using numerical weather pbkp_rediction models. We demonstrate that this capability can significantly enhance planning and operations. We illustrate the method using a large-scale computational study where we compute sensitivities of the regional generation cost in the state of Illinois with respect to wind speed and temperature fields inside and outside the state. © 2011 ACM.
Año de publicación:
2011
Keywords:
- sensor siting
- adjoint sensitivity analysis
- power grid planning
- Numerical weather pbkp_rediction
Fuente:
scopus
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Energía
- Optimización matemática
- Meteorología
Áreas temáticas:
- Geología, hidrología, meteorología
- Otras ramas de la ingeniería
- Economía de la tierra y la energía