College of Electrical and Control Engineering, Xi’an University of Science and Technology
College of Electrical Engineering, Xi’ an Jiaotong University

为提高综合能源系统的低碳性、经济性，提出一种考虑需求侧响应与碳排放配额的综合能源系统优化模型。首先，构建综合能源系统模型，分析能源在生产、转换、传输、存储、需求5个环节中的损耗；其次，同时考虑由不同电价引导的需求侧负荷响应与无偿碳排放配额，以系统综合成本最小作为目标，建立系统优化调度模型，并采用CPLEX求解器对不同场景下的调度模型进行求解。结果表明：在应用碳配额激励下，考虑需求侧响应会使系统总成本降低，综合能源利用效率提高。该方法可有效降低系统碳排放量与经济成本，改善负荷在不同时间段的分布，为系统选择更为低碳经济的购能方式提供参考。

To reduce the cost and carbon-emission of integrated energy system, an integrated energysystem optimization model considering demand-side response and carbon emission allowance is pro-posed. Firstly, an integrated energy system model is constructed to analyze the losses of energy in thefive stages of production, conversion, transmission, storage and demand. Secondly, the demand-side loadresponse guided by different tariffs and free carbon emission allowance are considered simultaneously,and the system optimization dispatching model is established with the objective of minimizing the com-prehensive system cost, and the dispatching model under different scenarios is solved by using theCPLEX solver. The simulation results show that considering the demand-side response under the appli-cation of carbon allowance incentive leads to the reduction of total system cost and the improvement ofcomprehensive energy utilization efficiency. This method can effectively reduce the system carbon emis-sions and economic costs, and improve the load distribution in different time periods, which provides areference for the system to choose a more low-carbon and economic way to purchase energy.

中国博士后科学基金项目(2019M653634)；

0 引 言
1 综合能源系统模型
1.1 能量分析
1.2 优化策略
1.3 需求侧响应模型
1.4 碳排放交易机制
2 综合能源系统优化运行模型
2.1 目标函数
2.2 约束条件
2.2.1 功率平衡约束
2.2.2 燃气轮机机组出力约束
2.2.3 蓄电池、蓄热池约束
2.2.4 综合能源系统评价指标
2.3 求解方法
3 算例分析
3.1 场景4的优化效果
3.2 经济性分析
3.3 低碳性分析
3.4 效率指标分析
3.5 各场景购电对比
4 结 论

[1]刘青,李亮,王宇,等.含需求响应与碳配额的综合能源系统优化调度[J].西安科技大学学报,2023,43(04):787-796.

LIU Qing,LI Liang,WANG Yu,et al.Optimal scheduling of integrated energy system with demand response and carbon quotas[ J].Journal of Xi’an University of Science and Technology,2023,43( 4):787-796.