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On-Line Economic Optimization of Energy Systems Using Weather Forecast Information

Victor M Zavala (vzavala***at***mcs.anl.gov)
Emil Constantinescu (emconsta***at***mcs.anl.gov)
Theodore Krause (krause***at***cmt.anl.gov)
Mihai Anitescu (anitescu***at***mcs.anl.gov)

Abstract: We establish an on-line optimization framework to exploit weather forecast information in the operation of energy systems. We argue that anticipating the weather conditions can lead to more proactive and cost-effective operations. The framework is based on the solution of a stochastic dynamic real-time optimization (D-RTO) problem incorporating forecasts generated from a state-of-the-art weather prediction model. The necessary uncertainty information is extracted from the weather model using an ensemble approach. The accuracy of the forecast trends and uncertainty bounds are validated using real meteorological data. We present a numerical simulation study in a building system to demonstrate the developments.

Keywords: stochastic, large-scale, weather, forecast, on-line, energy

Category 1: Stochastic Programming

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

Category 3: Applications -- Science and Engineering (Chemical Engineering )

Citation:

Download: [PDF]

Entry Submitted: 03/04/2009
Entry Accepted: 03/04/2009
Entry Last Modified: 07/09/2009

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