E3S Web of Conferences (Jan 2022)

Diversified and high elastic power grid planning method based on two-stage stochastic optimization

  • Wang Hanyun,
  • Wang Tao,
  • Xu Hao,
  • Mu Hongwei,
  • Fan Xiaoke

DOI
https://doi.org/10.1051/e3sconf/202235203009
Journal volume & issue
Vol. 352
p. 03009

Abstract

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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.

Keywords