Distributed energy systems (DES) is energy efficient due to energy cascade utilization and integration with local renewable energy resources. Thermal energy storage systems (TESs) can supplement the DES to improve the system performance. In this study, a control strategy is proposed for the DES&TES considering the state of the TES to improve the surplus energy utilization, the system energy and economic performance especially during transition season. The operation of the power generator is determined by the electrical load, the state of the TES and the time-of-use tariff. In addition to the following the electrical load strategy, the generator is shut down when the TES is full and starts until the TES is discharged completely. The proposed strategy is tested under two tariffs. Results show that the proposed strategy can improve the surplus energy utilization rate and the primary energy efficiency of the DES by 29.2% and 2.9% compared with following the electricity load strategy. The payback period of the TES can be decreased to 1.9 years. In addition, the performance deviation resulting from the dynamic and static TES models shows that the dynamic model should be employed because the static model can over-estimate nearly 40% of surplus energy utilization rate.

分布式能源系统（DES）由于能级联利用能源并与本地可再生能源整合而具有能源效率。热能存储系统（TES）可以补充DES，以改善系统性能。在这项研究中，针对DES＆TES提出了一种控制策略，其中考虑了TES的状态，以提高过剩的能源利用率，系统能源和经济绩效，尤其是在过渡季节。发电机的运行由电负载，TES的状态和使用时间费率决定。除了以下电气负载策略外，当TES充满时，发电机将关闭，并启动直至TES完全放电。建议的策略在两种关税下进行了测试。结果表明，与采用电力负荷策略相比，该策略可以将DES的剩余能源利用率和一次能源效率提高29.2％和2.9％。TES的投资回收期可缩短至1.9年。此外，动态和静态TES模型导致的性能偏差表明，应采用动态模型，因为静态模型可以高估近40％的剩余能源利用率。