为响应“双碳”目标，推动能源互联互通与多能互补，综合能源系统（integrated energy systems, IES）的低碳配置规划具有重要意义。首先，分析园区级IES的设备运行特性和能量耦合关系，对不同品牌机组参数进行差异化设置；其次，考虑负荷波动性，计及系统生产、运行、维护和退役阶段的碳排放成本，构建IES数学模型；然后，以全生命周期碳排放和经济运行总成本最小化为优化目标，提出基于自适应t分布变异的混沌博弈优化算法进行IES优化配置；最后，以某园区为例，结合肘部法和轮廓系数法对K-means聚类法进行改进，采用拉丁超立方抽样生成典型风光场景验证模型有效性，通过与其他算法优化结果对比，验证了所提算法的优越性。优化结果表明，考虑负荷波动性时，系统装机容量增加4000kW，总成本增加1142万元；采用全生命周期碳排放模型，碳排放成本较仅考虑运行阶段碳排放的模型降低10.69%，较仅考虑经济成本的模型降低18.67%，为推进清洁能源应用与减少碳排放提供了理论与实践支持。

To respond to the "dual-carbon" goal and promote energy interconnection and multi-energy complementarity, low-carbon configuration planning for integrated energy systems (IES) is essential. Firstly, the operational characteristics and energy coupling relationships of park-level IES are analyzed, differentiating parameters across various unit brands. Secondly, load volatility is considered, and a mathematical model for the IES is established that incorporates carbon emission costs from production, operation, maintenance and decommissioning phases of the system. The optimization objective focuses on minimizing the cost of both full life cycle carbon emissions and economic operation. A chaos game optimization method based on adaptive t-distribution and its variance is proposed for configuration optimization. Additionally, the K-means clustering method is enhanced through the integration of the elbow method and the contour coefficient method. The model's efficacy is substantiated through the generation of a representative scenery scene through Latin hypercube sampling. Through a comparison with the optimization results of other algorithms, the superiority of the proposed algorithm is validated. The optimization results show that, when considering load volatility, the system's installed capacity increases by 4000 kW, with a total cost increase of 11.42 million yuan. By adopting a full lifecycle carbon emission model, carbon emission costs are reduced by 10.69% compared to the model that only considers emissions during the operational phase, and by 18.67% compared to the model that only considers economic costs. These results provide a theoretical and practical foundation for the advancement of clean energy utilization and the reduction of carbon emissions.

国家自然科学基金项目(52307199)；河北省自然科学基金(E2022202065); 河北省省级科技计划资助(21567605H)