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Distributed MPC applied to power demand side control

机译:分布式MPC应用于电力需求侧控制

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摘要

In the future, global energy balance of a smart grid system can be achieved by its agents deciding on their own power demand locally and the exchange of these decisions. In this paper, we model a network of households with washing machine programs that can be shifted in time so that the overall power demand is flattened. The network model describes how the information of power imbalance of individual agents can be exchanged in the system. Additionally, dynamics, washing machine constraints and power demand forecasts of each agent are included. Compared to existing smart grid models with hierarchical structures, our model, together with a market mechanism, achieves the power balance in the system in a completely distributed way. The market mechanism is a distributed MPC scheme based on dual decomposition and sub-gradient iterations. We provide results with a realistic power and washing machine demand pattern and we test scalability of the problem. Finally, we provide insights in the scalability of the algorithms.
机译:未来,智能电网系统的全球能源平衡可以通过其代理商在本地决定自己的电力需求并交换这些决定来实现。在本文中,我们对带有洗衣机程序的家庭网络进行建模,该程序可以及时转移,从而使总体电力需求趋于平坦。网络模型描述了如何在系统中交换单个代理的功率不平衡信息。此外,还包括每个代理商的动态,洗衣机约束和功率需求预测。与现有的具有分层结构的智能电网模型相比,我们的模型与市场机制一起以完全分布式的方式实现了系统中的功率平衡。市场机制是基于对偶分解和次梯度迭代的分布式MPC方案。我们提供具有实际功率和洗衣机需求模式的结果,并测试问题的可扩展性。最后,我们提供了算法可扩展性的见解。

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