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A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization

  • De Zhang
  • , Yuzheng Xie
  • , Wenqiu Zou
  • , Gengfeng Li
  • , Qiming Yang
  • , Mingqian Xu
  • , Minghao Li
  • State Grid Corporation of China
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The generator start-up problem is a multi-stage, multi-constraint, multi-objective, nonlinear and discrete complex combinatorial optimization problem. Firstly, this paper considers four research objects of unit, grid, load and line, and puts forward four corresponding evaluation indicators. With the relevant constraints considered, the multi-objective generator start-up strategy model with preference is built. The r-NSGA-II algorithm that used in preference optimization theory is presented to optimize the multi-objective generator start-up model with preference. Finally, by comparing the optimal solution of multiple Pareto, the best unit recovery order and recovery line path are selected. The model and algorithm validity presented in this paper are verified by the test system.

源语言英语
主期刊名2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022
出版商Institute of Electrical and Electronics Engineers Inc.
79-84
页数6
ISBN(电子版)9781665491280
DOI
出版状态已出版 - 2022
活动2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022 - Virtual, Online, 中国
期限: 27 12月 202229 12月 2022

出版系列

姓名2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022

会议

会议2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022
国家/地区中国
Virtual, Online
时期27/12/2229/12/22

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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