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A hybrid optimization algorithm for distribution network coordinated operation with SNOP based on simulated annealing and conic programming

  • Xuzhu Dong
  • , Zhengrong Wu
  • , Guanyu Song
  • , Haoran Ji
  • , Peng Li
  • , Chengshan Wang
  • China Southern Power Grid
  • Tianjin University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Soft normally open point (SNOP) is a novel power electronic device installed in place of normally-open point. The application of SNOP will greatly promote the flexibility and controllability of distribution network. Considering the high investment of SNOP, both tie switch and SNOP should be taken into account in the coordinated operation problem of distribution network. Firstly, the optimization model for distribution network coordinated operation with SNOP and tie switch is proposed. Then, combining the simulated annealing method with conic programming, this paper proposes a hybrid optimization algorithm, involving simulated annealing method to obtain the switch states and conic programming to optimize the transmitted power of SNOP. This hybrid algorithm can solve the above large-scale mixed-integer nonlinear problem accurately and rapidly, while satisfying the demand of distribution network coordinated operation. Finally, the IEEE 69-node system is used to demonstrate the effectiveness of the proposed hybrid algorithm.

源语言英语
主期刊名2016 IEEE Power and Energy Society General Meeting, PESGM 2016
出版商IEEE Computer Society
ISBN(电子版)9781509041688
DOI
出版状态已出版 - 10 11月 2016
已对外发布
活动2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, 美国
期限: 17 7月 201621 7月 2016

丛书

姓名IEEE Power and Energy Society General Meeting
2016-November
ISSN(印刷版)1944-9925
ISSN(电子版)1944-9933

会议

会议2016 IEEE Power and Energy Society General Meeting, PESGM 2016
国家/地区美国
Boston
时期17/07/1621/07/16

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  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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