首页    期刊浏览 2024年11月23日 星期六
登录注册

文章基本信息

  • 标题:Evolution model of power failure considering new energy uncertainty
  • 本地全文:下载
  • 作者:Changjian Fan ; Changjian Fan ; Qun Yu
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:237
  • 期号:6
  • 页码:062042
  • DOI:10.1088/1755-1315/237/6/062042
  • 出版社:IOP Publishing
  • 摘要:In order to explore the impact of new energy uncertainty on power failure and the choice of new energy buses in interconnected power grid, evolution model of non-sequential Monte-Carlo power failure is proposed. Assessment of power failure risk in interconnected power grid under multi-scenario is proposed to study the access of new energy. Firstly, the model of the uncertainty of wind power and photovoltaic power generation is set. Secondly, the non-sequential Monte-Carlo method is used to obtain the output of new energy, and a power failure evolution model is established based on SOC-Power Failure model. Finally, doing power failure evolution simulation in IEEE118 grid by this model in different scenario, the RISK value is obtained by integrating the LOLP, ELOL and EPFB indicators by AHP method, and the best access scenarios of new energy are determined by RISK value. The scenarios of new energy with the lowest power failure risk and the weak lines in the power grid are verified, which verifies the feasibility of the model and the practicability of the multi-scenario simulation.
国家哲学社会科学文献中心版权所有