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Stochastic Optimal Operation for Integrated Energy System Considering Multiple Uncertainties
ID：33 View Protection：ATTENDEE Updated Time：2022-08-11 13:18:52 Hits：389 Oral Presentation

Start Time：2022-11-04 09:30（Asia/Shanghai）

Duration：20min

Session：S Power System and Automation » OS17Oral Session 17

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Abstract
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.
Keywords
integrated energy system; stochastic optimization; multiple uncertainties; sample average approximation
Speaker
Chengao Li
Hohai University

Submission Author
Chengao Li Hohai University
Yue Pu Hohai University
Yukun Gao Hohai University
Haoming Liu Hohai University
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Important Date

  • Conference Date

    Nov 03

    2022

    to

    Nov 05

    2022

  • Aug 01 2022

    Draft paper submission deadline

  • Nov 04 2022

    Registration deadline

  • Nov 05 2022

    Contribution Submission Deadline

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Huazhong University of Science and Technology
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