Risk Modeling via Stochastic Dominance in Power Systems with Dispersed Generation
نویسندگان
چکیده
We propose a new approach to risk modeling in power optimization employing the concept of stochastic dominance. This leads to new classes of large-scale block-structured mixed-integer linear programs for which we present decomposition algorithms. The new methodology is applied to stochastic optimization problems related to operation and investment planning in a power system with dispersed generation.
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