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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Coordinated Strategy of De-Icing Outage Scheduling and Unit Commitment

Release time:2018-03-05
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Indexed by:
Journal paper
First Author:
Mingyu Yan
Correspondence Author:
Xiaomeng Ai
Co-author:
Jinyu Wen,Yubin He,Chuangxin Guo
Journal:
Proceedings of the CSEE
Included Journals:
EI
Place of Publication:
China
Discipline:
Engineering
First-Level Discipline:
Electrical Engineering
Funded by:
中国博士后基金资助项目(2016M590693)
Document Type:
J
Volume:
38
Issue:
5
Page Number:
1467-1474
ISSN No.:
0258-8013
Key Words:
de-icing outage scheduling, unit commitment, coordination, mixed integer linear optimization (MILP), Lagrange relaxation;
DOI number:
10.13334/j.0258-8013.pcsee.170313
Date of Publication:
2018-03-05
Impact Factor:
6.176
Abstract:
To ensure the security and stability of ice-covered power grid, the model and solution method of the collaborative optimization of de-icing outage scheduling and unit commitment are proposed. First, the constraints of de-icing outage scheduling were established, which also guarantee that the ice thickness does not exceed its designed value, then it’s co-optimized with the unit commitment. Since the proposed problem is a large-scale nonconvex and nonlinear problem which is hard to be solved directly, auxiliary variables were adopted to recast the model to a mixed integer linear optimization (MILP) problem. Then the MILP model was decoupled to the unit commitment subproblem and de-icing outage scheduling subproblem by Lagrange relaxation, which can be solved iteratively. To improve the computing speed, acceleration strategies were proposed. The proposed model was tested on IEEE RTS79 system, and the results show the validity of the proposed model and solution method. The results also show that the proposed de-icing outage scheduling can ensure the safety of ice-covered grid.
Links to published journals:
http://www.pcsee.org/x_iA9ig181GiGW7b5ocZwSy_SZ5xAvepuRQqLWXZ1zND%2BGxAokhnh%2BvNmQR143kz?encrypt=1