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Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to Power Grid Optimization

Alexandru Cioaca(alexgc***at***vt.edu)
Victor M. Zavala(vzavala***at***mcs.anl.gov)
Emil M. Constantinescu(emconsta***at***mcs.anl.gov)

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 prediction 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

Keywords: adjoint sensitivity analysis, numerical weather

Category 1: Nonlinear Optimization (Constrained Nonlinear Optimization )

Category 2: Applications -- Science and Engineering (Control Applications )

Category 3: Stochastic Programming

Citation:

Download: [PDF]

Entry Submitted: 09/02/2011
Entry Accepted: 09/02/2011
Entry Last Modified: 09/02/2011

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