为增加可再生能源的吸收能力和缩减碳排放，提出了计及不确定性与需求响应的综合能源系统优化方案。首先，构建综合能源系统的总体架构，建立数学模型；其次，针对源荷两侧不确定性因素，采用拉丁超立方抽样法和基于改进K-means聚类算法进行处理；设计了一个双层优化模型，在MATLAB环境下，采用改进BAS-GA算法结合基于Yalmip平台下调用CPLEX 12.10求解器进行求解；最终，通过对比不同方案下的系统规划及运营费用，进行实例验证。结果表明，相较于实施综合需求响应措施前，电力负荷、热负荷、氢负荷的峰谷差分别降低了16.8%、14.9%及13.6%。在采纳IDR方案之后，光伏、蓄电池和电锅炉的规模上均较前者有所降低，具体减少幅度为13.54%、21.83%和11.16%。实施IDR措施可以使整体配置降低313kW，这进一步证明了该方案在降低系统配置规模方面的有效性。

In order to increase the absorptive capacity of renewable energy and reduce carbon emissions, an integrated energy system optimisation scheme that takes into account uncertainty and demand response is proposed. Firstly, the overall architecture of the integrated energy system is constructed and a mathematical model is established; secondly, the uncertainty factors on both the source and load sides are treated by the Latin hypercube sampling method and the improved K-means clustering algorithm; a two-layer optimisation model is designed and solved by using the improved BAS-GA algorithm combined with the CPLEX solver based on the Yalmip platform in MATLAB environment; finally, the system is optimised by comparing different scenarios. 12.10 solver under MATLAB environment; finally, an example validation is carried out by comparing the system planning and operating costs under different scenarios. The results show that the peak-to-valley differences of electric, thermal, and hydrogen loads are reduced by 16.8%, 14.9%, and 13.6%, respectively, compared to those before the implementation of IDR measures. After the adoption of the IDR programme, PV, storage batteries and electric boilers are all reduced in size compared to their predecessors, with specific reductions of 13.54%, 21.83% and 11.16%. The implementation of IDR measures reduces the overall configuration by 313kW, which further demonstrates the effectiveness of the programme in reducing the size of the system configuration.

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