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:

scopusscopus

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