基于多能互补的热电联供型微网优化运行

热电联供型微网(CHP-MG)对实现能源可持续发展和构建绿色低碳社会具有重要的应用价值,而内部复杂的能源结构与设备耦合关系,也对其运行优化带来了挑战。利用供需双侧电、热能的互动互补关系,在供给侧采用储能装置实现联供设备的热电解耦,通过各能源转换设备提升系统多能源的供应能力。在需求侧对负荷类型进行分类,利用电负荷的弹性和系统供热方式的多样性,构建含电负荷时移、削减响应及热负荷供能方式响应的综合能源需求响应模型,并提出响应补偿机制。在此基础上,以系统运行成本与响应补偿成本之和最小为目标,综合考虑供需双侧设备运行和可调度负荷资源约束,建立基于多能互补的CHP-MG优化运行数学模型。基于算例的仿真结果和对比分析表明:考虑多能互补的供需双侧协同优化能有效提高系统供能的灵活性以及运行经济性。

Multi-energy complementation based optimal operation of a microgrid with combined heat and power

CHP-MG is important for sustainable energy development and building a green and low-carbon society. The complex coupling relationship between internal energy structure and equipment also brings challenges to its operational optimization. In this paper, the thermoelectric decoupling of cogeneration equipment is realized by using energy storage devices on the supply side, utilizing the mutual complementary relationship of electricity and heat energy on both sides of supply and demand, and the multi-energy supply capacity of the system is enhanced by various energy conversion devices. The load types are classified on the demand side, and the elasticity of electric load and the diversity of heating modes of the system are utilized. A comprehensive energy demand response model including time-shift of electric load, reduction response and conversion response of heating mode is built, and a response compensation mechanism is proposed. On this basis, taking the minimum sum of system operation cost and response compensation cost as the objective, and accounting for the constraints of equipment operation and dispatchable load resources on both sides of supply and demand, a mathematical model of optimal operation of CHP-MG based on multi-energy complementarity is established. Finally, the results and comparisons of an example show that the bilateral collaborative optimization of supply and demand considering multi-energy complementarity can effectively improve the flexibility of energy supply and operational economy of the system. This work is supported by National Natural Science Foundation of China (No. 51607105).