程静, 谭智钢, 岳雷. 考虑负荷综合需求响应的CCHP-SESS双层优化配置[J]. 电网技术, 2023, 47(3): 918-929. DOI: 10.13335/j.1000-3673.pst.2022.0699
引用本文: 程静, 谭智钢, 岳雷. 考虑负荷综合需求响应的CCHP-SESS双层优化配置[J]. 电网技术, 2023, 47(3): 918-929. DOI: 10.13335/j.1000-3673.pst.2022.0699
CHENG Jing, TAN Zhigang, YUE Lei. CCHP-SESS Bi-layer Optimal Configuration Considering Comprehensive Load Demand Response[J]. Power System Technology, 2023, 47(3): 918-929. DOI: 10.13335/j.1000-3673.pst.2022.0699
Citation: CHENG Jing, TAN Zhigang, YUE Lei. CCHP-SESS Bi-layer Optimal Configuration Considering Comprehensive Load Demand Response[J]. Power System Technology, 2023, 47(3): 918-929. DOI: 10.13335/j.1000-3673.pst.2022.0699

考虑负荷综合需求响应的CCHP-SESS双层优化配置

CCHP-SESS Bi-layer Optimal Configuration Considering Comprehensive Load Demand Response

  • 摘要: 能源低碳转型的时代大背景下,清洁能源持续向规模化、集约化发展。针对包含多种清洁能源的冷热电联供系统(combined cooling heating and power,CCHP)微网与共享储能电站的协同优化调度问题,考虑不同类型负荷的耦合特性以及综合需求响应对其激励作用,提出构建一种供需协同优化的CCHP-共享储能电站(shared energy storage station,SESS)双层经济调度模型,并提出一种考虑电满意度、热和冷舒适度的综合满意度指标。双层模型中,上层主体为CCHP微网,下层主体为共享储能电站,采用KKT(Karush-Kuhn-Tucker)条件对其实施降维,并以大M法引入二进制变量将非线性约束线性化,转为混合整数线性规划模型后调用CPLEX进行求解。以新疆某园区CCHP-SESS系统作为算例,仿真分析与验证结果表明,考虑综合需求响应可有效改善负荷功率分布,实现清洁能源出力特性与负荷需求响应特性的高效拟合,缓解供能压力;提出的CCHP-SESS双层优化配置方法通过协调上下层不同利益主体的能量分配,可有效降低CCHP微网的运行成本,同时增加共享储能电站收益,提升清洁能源消纳水平,确保系统供能稳定性。

     

    Abstract: In the era of low-carbon energy transformation, the clean energy continues to develop in the large-scale and intensified direction. Aiming at the problem of the coordinated optimal scheduling of the CCHP microgrid including the multiple clean energy and the shared energy storage power stations, and considering the coupling characteristics of different types of loads and the incentive effects of the comprehensive demand response, a CCHP-SESS two-layer supply and demand coordination optimization model is built And a comprehensive satisfaction index for the electrical satisfaction, the thermal and the cooling comfort is proposed. In the two-layer model, the upper body is the cogeneration microgrid, and the lower body is the shared energy storage power station. The KKT condition is used for the dimensionality reduction, and the big M method is used to introduce the binary variables to linearize the nonlinear constraints. After converting to a mixed integer linear programming model, the CPLEX is called to solve it. Taking the CCHP-SESS system of a park in the Xinjiang Uyghur Autonomous Region as an example, the simulation analysis and verification results show that the comprehensive demand response is considered to effectively improve the load distribution and realize the efficient matching of the clean energy output characteristics and the load demand, relieving the pressure of energy supply. The proposed CCHP -SESS two-layer optimal configuration effectively reduces the operating costs of the CCHP microgrid by coordinating the energy distribution of different stakeholders at the upper and lower layers. Meanwhile, the revenue of shared energy storage power stations is increased, the level of clean energy consumption is improved, and the stability of system energy supply is ensured.

     

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