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Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty

Optimization and Control 2024-01-02 v1 Systems and Control Systems and Control

Abstract

This paper adopts a two-stage sample robust optimization (SRO) model to address the wind power penetrated unit commitment optimal energy flow (UC-OEF) problem for IEGSs. The two-stage SRO model can be approximately transformed into a computationally efficient form. Specifically, we employ linear decision rules to simplify the proposed UC-OEF model. Moreover, we further enhance the tractability of the simplified model by exploring its structural features and, accordingly, develop a solution method.

Keywords

Cite

@article{arxiv.2401.00269,
  title  = {Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty},
  author = {Rong-Peng Liu and Yunhe Hou and Yujia Li and Shunbo Lei and Wei Wei and Xiaozhe Wang},
  journal= {arXiv preprint arXiv:2401.00269},
  year   = {2024}
}

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10 pages