电热综合能源系统多时间尺度优化调度策略研究

Research on Multi-time Scale Optimal Scheduling Strategy of Electric-Thermal Integrated Energy System

综合能源系统研究中电热能源动态特性存在差异,为提升系统运行性能、节约成本,提出采用多时间尺度策略对系统进行优化调度。首先建立电热系统模型并进行日前数据预测,其次考虑到热能的传输惯性较大而电能迅速响应的特性导致调度周期会影响系统的调度,提出日前预测统一调度和日内电热不同周期调度的多时间尺度协同优化的调度策略。最后通过场景分析,验证了电热能源多时间尺度调度策略可以提高系统运行的准确性和经济性。

In the study of integrated energy system,there are differences in the dynamic characteristics between electric energy and thermal energy,and in order to improve the operation performance of the system and save costs,a multi-time scale strategy is proposed to optimize the scheduling of the system.Firstly,the electric-thermal system model is established and the day-ahead data prediction is carried out,and secondly,considering that the transmission inertia of thermal energy is large and the characteristics of rapid response of electric energy lead to the impact of the dispatching cycle on the system scheduling,a scheduling strategy of unified scheduling in advance prediction and multi-time scale collaborative optimization of intraday electric-thermal scheduling with different cycles is proposed.Finally,through scenario analysis,it is verified that the multi-time scale scheduling strategy for electric-thermal integrated energy system can improve the accuracy and economy of system operation.