Stochastic Optimal Operation for Integrated Energy System Considering Multiple Uncertainties
编号:33 访问权限:仅限参会人 更新:2022-08-11 13:18:52 浏览:289次 口头报告

报告开始:2022年11月04日 09:30(Asia/Shanghai)

报告时间:20min

所在会场:[S] Power System and Automation [OS17] Oral Session 17

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摘要
Abstrict -- Given uncertainties of distributed generation (DG) output and multi-energy loads including electricity, heating, and cooling in integrated energy systems (IES), this paper proposes an IES stochastic optimal operation strategy considering multiple uncertainties of source-side and load-side. Firstly, through analyzing the influences of multiple uncertainties, the stochastic optimization model of IES is established. Then, with the sample average approximation (SAA), the stochastic optimization model is converted into a deterministic mixed-integer linear programming model and solved by the CPLEX solver. Finally, the feasibility of the proposed strategy is verified through an example, and sensitivity analysis of different fluctuation degrees and uncertainty factors is further carried out.
关键词
integrated energy system; stochastic optimization; multiple uncertainties; sample average approximation
报告人
Chengao Li
Hohai University

稿件作者
Chengao Li Hohai University
Yue Pu Hohai University
Yukun Gao Hohai University
Haoming Liu Hohai University
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重要日期
  • 会议日期

    11月03日

    2022

    11月05日

    2022

  • 08月01日 2022

    初稿截稿日期

  • 11月04日 2022

    注册截止日期

  • 11月05日 2022

    报告提交截止日期

主办单位
Huazhong University of Science and Technology
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