点击次数：

论文类型：期刊论文

论文编号：21664397

第一作者：Wei Huang

通讯作者：Changzheng Shao

合写作者：Bo Hu,Mohammad Shahidehpour,Yue Sun,Qinghong Sun,Mingyu Yan,Kaigui Xie

发表刊物：IEEE Transactions on Power Systems

收录刊物：SCI

刊物所在地：美国

学科门类：工学

一级学科：电气工程

文献类型：J

卷号：37

期号：2

页面范围：1297-1310

ISSN号：0885-8950

关键字：Icing growth model; De-icing schedule; Transmission line losses; Preventive scheduling

DOI码：10.1109/TPWRS.2021.3099978

发表时间：2022-03-07

影响因子：7.326

摘要：The icing on transmission lines threatens the power system security while the heat caused by power transmission losses can prevent icing growth. This paper proposes a preventive scheduling model for mitigating the glaze icing by optimizing the distribution of power losses on ice-coated transmission lines. An analytical glaze icing growth model is established based on the heat balance theory, which builds a direct relationship between icing growth and power transmission losses. Accordingly, the analytical glaze icing model is embedded into the proposed scheduling model to quantify the impact of power system schedules on transmission line icing and reduce the glaze icing of transmission lines. The scheduling model co-optimizes active power dispatch, demand response, and reactive power optimization for promoting the de-icing effect. To overcome the computational difficulties, the analytical glaze icing growth model is further linearized, and the Lagrangian relaxation method is adopted for identifying a practical solution. Case studies are conducted on different icing scenarios in the IEEE RTS-79 test system to verify the validity of the proposed model. Results show that the proposed preventing scheduling model can avoid the icing on transmission lines for mild ice disasters, while efficiently restraining the icing growth on transmission lines when they cannot be completely de-iced in severe storms.

发布期刊链接：https://ieeexplore.ieee.org/abstract/document/9496094/keywords#keywords