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  • 标题:Diversified and high elastic power grid planning method based on two-stage stochastic optimization
  • 本地全文:下载
  • 作者:Hanyun Wang ; Tao Wang ; Hao Xu
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2022
  • 卷号:352
  • 页码:1-7
  • DOI:10.1051/e3sconf/202235203009
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:With the rapid development of distributed power generation, the study of multi-integrated and highly flexible grid planning methods has become a research hotspot. In multi-resource planning, the planning scheme that considers the active management mode is obviously better than the planning scheme that does not consider the active management mode. In this paper, a diversified and high elastic power grid planning method based on stochastic optimization is proposed, which can effectively deal with the impact of uncertainty caused by the access of distributed generation to the power grid, and provide a method support for the cleaning and efficiency of power system in the future. The IEEE 18 system example proves the feasibility and effectiveness of the proposed method.
  • 关键词:Distributed power;diversified and high elastic power grid;comprehensive evaluation
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