A Model-based Optimal Operation Strategy for Compressed Air Energy Storage (caes) Plants

نویسندگان

  • Fernando De Samaniego
  • Andreas Ulbig
  • Stephan Koch
  • Göran Andersson
چکیده

A model-based optimal operation strategy for an energy storage system exhibiting significant stand-by energy losses is presented. Specifically, a thermodynamic model of an advanced adiabatic compressed air energy storage (AA-CAES) plant, consisting of compression/expansion trains, a thermal energy storage (TES) system, and an underground cavern for compressed air storage, is used in this work. An operation strategy based on this model is proposed for the commercial operation of CAES systems and other storage systems exhibiting stand-by losses within existing power market regimes. A multi-objective, multiperiod optimization problem is formulated and solved within a model predictive control (MPC) scheme, using electricity spot prices from the European Power Exchange (EPEX).

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تاریخ انتشار 2011