[Oral Presentation]Stochastic Optimal Operation for Integrated Energy System Considering Multiple Uncertainties

Stochastic Optimal Operation for Integrated Energy System Considering Multiple Uncertainties

ID：33 Submission ID：18 View Protection：ATTENDEE Updated Time：2022-08-11 13:18:52 Hits：283 Oral Presentation

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

Duration：20min

Session：[S] Power System and Automation » [OS17] Oral 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