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A New Convex Relaxation Method to Solve AC Optimal Power Flow in Transmission Networks

  • Minghao Li
  • , Ji Qiao
  • , Yun Su
  • , Fan Yang
  • , Jianxin Zhang
  • , Qiming Yang
  • , Gengfeng Li
  • , Yuxiong Huang
  • Xi'an Jiaotong University
  • State Grid Corporation of China
  • Dept. Shanghai Municipal Electric
  • Shanghai Electric Power Co. Ltd.

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The optimal power flow (OPF) is a basic optimization problem in the field of power system. The current mainstream convex relaxation methods, including semidefinite programming (SDP), quadratic convex relaxation (QC relaxation) and second-order cone programming (SOCP), have been well applied in the distribution network. However, when the network has a circle, the SOCP method does not support the solution because of the additional relaxation of the phase angle cycle condition, while the SDP and QC methods are less efficient for solving the transmission network. Based on this situation, an AC OPF convex relaxation and solution method suitable for the transmission network were proposed in this paper. The second-order cone relaxation is performed on the voltage expression in the rectangular form of the OPF problem, and the arctangent envelope method is proposed to relax the phase angle cycle constraint. Finally, the feasibility and effectiveness of the proposed method are verified in the simulation results, and the computational speed of the proposed solution is proved to be high.

源语言英语
主期刊名2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024
出版商Institute of Electrical and Electronics Engineers Inc.
794-799
页数6
ISBN(电子版)9798350349030
DOI
出版状态已出版 - 2024
活动2nd IEEE International Conference on Power Science and Technology, ICPST 2024 - Dali, 中国
期限: 9 5月 202411 5月 2024

丛书

姓名2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024

会议

会议2nd IEEE International Conference on Power Science and Technology, ICPST 2024
国家/地区中国
Dali
时期9/05/2411/05/24

联合国可持续发展目标

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  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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