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- W4376457706 abstract "Virtual power plant (VPP) is an effective solution for the aggregation of distributed resources. To exploit the flexibility inside distributed resources, a multi time-scale robust aggregation Model is proposed in this paper. A day-ahead robust aggregation model based on robust optimization is proposed to formulate a robust feasible region of the VPP. Based on the day-ahead aggregation model, the VPP updates its aggregation model at the next dispatch period according to the latest information to reach a compromise between robustness and economy. The robust optimization problem is solved by an iterative heuristic methodology based on the column-and-constraint generation algorithm. Results from a case study demonstrate that the proposed multi time-scale aggregation method is satisfactory in both precision and calculation speed." @default.
- W4376457706 created "2023-05-14" @default.
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- W4376457706 date "2022-11-11" @default.
- W4376457706 modified "2023-10-17" @default.
- W4376457706 title "A Multi Time-Scale Robust Aggregation Model for Virtual Power Plant Based on Rolling Correction" @default.
- W4376457706 doi "https://doi.org/10.1109/ei256261.2022.10116634" @default.
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