As a typical scenario of distributed integrated multi-energy system (DIMS), industrial park contains complex production constraints and strong associations between industrial productions and energy demands. The industrial production process (IPP) consists of controllable subtasks and strict timing constraints. Taking IPP as a control variable of optimal scheduling, it is an available approach that models the IPP as material flow into an extension energy hub (EH) to achieve the optimization of industrial park. In this paper, considering the coupling between the production process and energy demands, a model of IPP is proposed by dividing the process into different adjustable steps, including continuous subtask, discrete subtask, and storage subtask. Then, a transport model of material flow is used to describe the IPP in an industrial park DIMS. Based on the concept of EH, a universal extension EH model is proposed considering the coupling among electricity, heat, cooling, and material. Furthermore, an optimal scheduling method for industrial park DIMS is proposed to improve the energy efficiency and operation economy. Finally, a case study of a typical battery factory is shown to illustrate the proposed method. The simulation results demonstrate that such a method reduces the operation cost and accurately reflects the operation state of the industrial factory.

中文翻译：

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基于能源枢纽的考虑工业过程的分布式集成多能源系统优化

作为分布式集成多能源系统（DIMS）的典型方案，工业园区包含复杂的生产约束以及工业生产与能源需求之间的紧密联系。工业生产过程（IPP）由可控制的子任务和严格的时序约束组成。以IPP作为最佳调度的控制变量，这是一种将IPP建模为物料流向扩展能源枢纽（EH）的模型，以实现工业园区的优化。在本文中，考虑到生产过程与能源需求之间的耦合，通过将过程分为连续的子任务，离散的子任务和存储的子任务等不同的可调步骤，提出了IPP模型。然后，在工业园区DIMS中使用物料流的运输模型来描述IPP。基于EH的概念，考虑电，热，冷和材料之间的耦合，提出了通用扩展EH模型。此外，提出了一种针对工业园区DIMS的优化调度方法，以提高能源效率和运营经济性。最后，以典型电池工厂的案例研究为例说明了该方法。仿真结果表明，该方法降低了运营成本，准确反映了工厂的运行状态。以典型电池工厂的案例研究为例说明了该方法。仿真结果表明，该方法降低了运营成本，准确反映了工厂的运行状态。以典型电池工厂的案例研究为例说明了该方法。仿真结果表明，该方法降低了运营成本，准确反映了工厂的运行状态。