【摘要】 现有研究常忽略供热网络的时延性、蓄热性等动态特性或采用计算复杂的非线性模型，导致难以与电力系统线性调度框架高效兼容。基于热电比拟原理构建热网管道线性动态模型，并将其应用于电热综合能源系统(IEHES)优化调度。通过热电比拟，将热网管道离散节点等效为电路单元，利用诺顿等效电路消除中间变量，建立仅依赖上一时刻温度的线性化管道动态模型，并在此基础上建立以系统总运行成本最小为目标的日前优化调度模型，充分挖掘供热网络作为分布式储热单元的跨时段调节潜力。结果表明，与传统稳态模型相比，所提动态调度方法使风电消纳率提高28.13%，系统总运行成本降低8.63%。更多还原

【Abstract】 Existing studies often neglect the dynamic characteristics of heat-supply networks, such as time delay and heat storage, or employ computationally complex nonlinear models, which makes it difficult to efficiently integrate with the linear dispatch framework of power systems. A linear dynamic model of heat-supply network pipelines is constructed based on the analogy between heat and electricity, and it is applied to the optimal dispatch of integrated electric and thermal energy system(IEHES). Through thermoelectric comparison, the discrete nodes of the heat network pipeline are equivalent to circuit units. The Norton equivalent circuit is used to eliminate intermediate variables, and a linearized pipeline dynamic model that only depends on the temperature of the previous moment is established. On this basis, a day-ahead optimization scheduling model with the goal of minimizing the total operating cost of the system is established to fully tap the crosstime period regulation potential of the heating network as a distributed heat storage unit. The results show that compared with the traditional steady-state model, the proposed dynamic scheduling method increases the wind power consumption rate by 28.13% and reduces the total system operating cost by 8.63%.更多还原