摘要详情

ID / 提交时间

18 / 2022-05-31 16:34:13

标题

Stochastic Optimal Operation for Integrated Energy System Considering Multiple Uncertainties

关键字

integrated energy system; stochastic optimization; multiple uncertainties; sample average approximation

主题及专题

Power System and Automation > Smart grid and utility applications

状态

终稿

作者

Chengao Li / Hohai University

Yue Pu / Hohai University

Yukun Gao / Hohai University

Haoming Liu / Hohai University

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.