Multi-time Scale Optimal Dispatching of Electro-thermal System Considering Electric/Thermal Energy Storage and Flexible Load

Xianxu Huo, Shiqian Ma, Xuejun Shang, Ying Zhang, X. Xiong, Zhenao Sun
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Abstract

Aiming at the combined heat and power optimal dispatching problem of electro-thermal system, this paper proposed a multi-time scale dispatching model electro-thermal system considering electric/thermal energy storage and flexible load. Firstly, an electro-thermal system with electric/thermal energy storage, flexible load, combined heat and power generation and heat pump is modeled, in which the flexible thermal load model is constructed based on the user's thermal comfort, the flexible electric load model is constructed based on the user's satisfaction with electricity consumption. Then a multi-time scale optimal dispatching model for electro-thermal system is proposed. Day-ahead optimal dispatching model minimizes the operation cost through multi-period collaborative optimization. Real-time feedback correction is based on the actual measured value of distributed renewable energy resources output and load demand to correct the day-ahead dispatching plan instructions and improve the reliability of dispatching. Finally, a simulation example verifies the effectiveness of the method proposed in this paper.
考虑电/热储能和柔性负荷的电热系统多时间尺度优化调度
针对电热系统热电联产优化调度问题,提出了考虑电/热储能和柔性负荷的电热系统多时间尺度调度模型。首先,对具有电/热储能、柔性负荷、热电联产和热泵的电热系统进行建模,其中基于用户热舒适构建柔性热负荷模型,基于用户用电量满意度构建柔性电负荷模型。然后提出了电热系统多时间尺度优化调度模型。日前最优调度模型通过多期协同优化,使运行成本最小化。实时反馈校正是基于分布式可再生能源出力和负荷需求的实际测量值,对日前调度计划指令进行校正,提高调度的可靠性。最后,通过仿真实例验证了本文方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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