CN

Mingyu YanYAN MINGYU

研究员(自然科学)    Supervisor of Doctorate Candidates    Supervisor of Master's Candidates

  • Professional Title:研究员(自然科学)
  • Gender:Male
  • Status:Employed
  • Department:School of Electrical and Electronic Engineering
  • Education Level:Postgraduate (Doctoral)
  • Degree:Doctoral Degree in Engineering

Paper Publications

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Preventive scheduling for reducing the impact of glaze icing on transmission lines

Release time:2022-03-07
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Journal paper
Document Code:
21664397
First Author:
Wei Huang
Correspondence Author:
Changzheng Shao
Co-author:
Bo Hu,Mohammad Shahidehpour,Yue Sun,Qinghong Sun,Mingyu Yan,Kaigui Xie
Journal:
IEEE Transactions on Power Systems
Included Journals:
SCI
Place of Publication:
United States
Discipline:
Engineering
First-Level Discipline:
Electrical Engineering
Document Type:
J
Volume:
37
Issue:
2
Page Number:
1297-1310
ISSN No.:
0885-8950
Key Words:
Icing growth model; De-icing schedule; Transmission line losses; Preventive scheduling
DOI number:
10.1109/TPWRS.2021.3099978
Date of Publication:
2022-03-07
Impact Factor:
7.326
Abstract:
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.
Links to published journals:
https://ieeexplore.ieee.org/abstract/document/9496094/keywords#keywords