Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866914625919909888 |
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| author | Liu, Rong-Peng Hou, Yunhe Li, Yujia Lei, Shunbo Wei, Wei Wang, Xiaozhe |
| author_facet | Liu, Rong-Peng Hou, Yunhe Li, Yujia Lei, Shunbo Wei, Wei Wang, Xiaozhe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_00269 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty Liu, Rong-Peng Hou, Yunhe Li, Yujia Lei, Shunbo Wei, Wei Wang, Xiaozhe Optimization and Control Systems and Control 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. |
| title | Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2401.00269 |