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- W4320032046 abstract "As renewable energy sources replace traditional power sources (such as thermal generators), uncertainty grows while there are fewer controllable units. To reduce operational risks and avoid frequent real-time emergency controls, a preparatory schedule of renewable generation curtailment is required. This paper proposes a novel two-stage robust generation dispatch (RGD) model, where the preparatory curtailment schedule is optimized in the pre-dispatch stage. The curtailment schedule will then influence the variation range of real-time renewable power output, resulting in a decision-dependent uncertainty (DDU) set. In the re-dispatch stage, the controllable units adjust their outputs within the reserve capacities to maintain power balancing. To overcome the difficulty in solving the RGD with DDU, an adaptive column-and-constraint generation (AC&CG) algorithm is developed. We prove that the proposed algorithm can generate the optimal solution in finite iterations. Numerical examples show the advantages of the proposed model and algorithm, and validate their practicability and scalability." @default.
- W4320032046 created "2023-02-12" @default.
- W4320032046 creator A5003799076 @default.
- W4320032046 creator A5085918263 @default.
- W4320032046 date "2022-03-30" @default.
- W4320032046 modified "2023-09-24" @default.
- W4320032046 title "Robust Generation Dispatch with Strategic Renewable Power Curtailment and Decision-Dependent Uncertainty" @default.
- W4320032046 doi "https://doi.org/10.48550/arxiv.2203.16251" @default.
- W4320032046 hasPublicationYear "2022" @default.
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