In integrated energy systems (IESs), traditional fixed time-interval dispatching scheme is unable to adapt to the need of dynamic properties of the transient network, demand response characteristics, dispatching time scales in energy subsystems and renewable power uncertainties. This scheme may easily result in uneconomic source-grid-load-storage operations in IES. In this paper, we propose a dispatching method for IES based on dynamic time-interval of model predictive control (MPC). We firstly build models for energy sub-systems and multi-energy loads in the power-gas-heat IES. Then, we develop an innovative optimization method leveraging trajectory deviation control, energy control, and cost control frameworks in MPC to handle the requirements and constraints over the time-interval of dispatching. Finally, a dynamic programming algorithm is introduced to efficiently solve the proposed method. Experiments and simulation results prove the effectiveness of the method.

中文翻译：

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基于模型预测控制动态时间间隔的综合能源系统调度方法

在集成能源系统（IESs）中，传统的固定时间间隔调度方案无法适应瞬态网络动态特性，需求响应特征，能源子系统中的调度时间尺度和可再生能源不确定性的需求。这种方案很容易导致IES中不经济的源-电网-负荷-存储操作。本文提出了一种基于模型预测控制（MPC）动态时间间隔的IES调度方法。我们首先在燃气热电IES中建立能源子系统和多能源负荷的模型。然后，我们开发了一种创新的优化方法，利用MPC中的轨迹偏差控制，能量控制和成本控制框架来处理调度时间间隔内的需求和约束。最后，提出了一种动态规划算法来有效地解决该方法。实验和仿真结果证明了该方法的有效性。