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Scheduling a smart energy hub-based virtual power plant using benders decomposition to considering power system constraints

机译:使用Benders分解来调度基于智能能源枢纽的虚拟发电厂以考虑电力系统约束

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摘要

In this paper, a model is presented for scheduling of a virtual power plant (VPP) which consists of several energy hubs. With a collaborative management of energy hubs as a VPP, collaboration of energy hubs for supplying local loads is managed greatly. Furthermore, the amount of energy exchange with energy distribution networks and limitations of local distribution networks between energy hubs is done via VPP manager. In the presented model, energy hubs can be connected to each other via heat and electricity distribution networks. Using Benders decomposition, scheduling of this VPP is decomposed into a master problem and a slave problem. The master problem defines working points of energy hubs, and the slave problem considers the limitations of energy hubs. The proper performance of the presented model is verified using a case study, and the results are presented in detail.
机译:在本文中,提出了一个用于调度由多个能源枢纽组成的虚拟电厂(VPP)的模型。通过将能源枢纽作为VPP进行协作管理,可以极大地管理用于供应本地负载的能源枢纽的协作。此外,通过VPP管理器可以完成与能源分配网络的能源交换量以及能源枢纽之间的本地分配网络的限制。在提出的模型中,能源枢纽可以通过热量和电力分配网络相互连接。使用Benders分解,将此VPP的调度分解为一个主问题和一个从问题。主问题定义了能源枢纽的工作点,从属问题则考虑了能源枢纽的局限性。通过案例研究验证了所提出模型的正确性能,并详细介绍了结果。

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