计及热惯性及光热电站的综合能源系统优化

传统热电联供联合调度中，燃气轮机(gas turbine, GT)机组“以热定电”的运行模式极大地限制了系统的调峰能力。提出一种光热电站(concentrating solar power, CSP)参与供热的综合能源系统优化调度方法，并在调度过程中考虑供热网络和供热区域的热惯性。首先，构建光热电站参与电热联合系统调节模型，发挥其供能潜力。其次，构建热网管道和建筑物集群的热惯性模型，挖掘其虚拟储能的特性，在满足各项约束的条件下实现两类热惯性与CSP的协同优化运行。在仿真分析中构建5种对比场景，验证了热网和供热区域的热惯性与CSP储热系统(thermal energy storage, TES)相互协调在提升系统运行经济性、风电上网率和降低系统碳排放方面的有效性。

Integrated Energy System Optimization Considering Thermal Inertia and CSP Station

The operation mode of gas turbine (GT) in the traditional combined heat and power dispatching greatly limits the peak-shaving capability of the system. A method for optimal dispatch of concentrating solar power (CSP) station participation in heating is proposed. The thermal inertia of the heating network and heating area in the scheduling process is considered. First, a model for the CSP station to participate in the electric heating combined system regulation is built to enhance the peak-regulation capability of the source-side gas turbine unit. Secondly, the thermal inertia model of the heating network and building clusters is constructed, the potential of virtual energy storage is tapped, and the coordinated and optimized operation of the two types of thermal inertia and the CSP station is realized under the conditions of satisfying various constraints. Five comparison scenarios are constructed in the simulation analysis to verify the effectiveness of the coordination between the thermal inertia of the heating network and heating area and the heat storage system of the CSP station in improving the operating economy of the system, improving the efficiency of wind power and reducing the carbon emissions of the system.