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Identification of a dynamic system model for a building and heating system including heat pump and thermal energy storage

机译：识别建筑和加热系统的动态系统模型，包括热泵和热能存储

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Controllers employing optimal control strategies will path the way to enable flexible operations in future power grids. As buildings will increasingly act as prosumers in future power grids, optimal control of buildings’ energy consumption will play a major role in providing flexible operations. Optimal controllers such as model predictive controller are able to manage buildings’ operations and to optimise their energy consumption. For online optimisation, model predictive controller requires a model of the energy system. The more accurate the system model represents the system dynamics, the more accurate the model predictive controller predicts the future states of the energy system while optimising its energy consumption. In this article, we present a system model that can be used in online MPC, including dynamic programming as optimisation strategy. The system model is validated using a building and heating system, including heat pump and thermal energy storage.The following bullet points summarise the main requirements for the configuration of the system model:?The system model performs fast with low computational effort in less than1?s;?The system model can be implemented in online MPC;?The system model accurately represents the dynamic behaviour.
机译：采用最优控制策略的控制器将路径为在未来电网中实现灵活操作的方式。由于建筑物越来越多地行为未来的电网，因此对建筑物的能源消耗的最佳控制将在提供灵活的操作方面发挥重要作用。诸如型号预测控制器的最佳控制器能够管理建筑物的操作并优化其能量消耗。为了在线优化，模型预测控制器需要能量系统的模型。系统模型更准确地代表系统动态，模型预测控制器更准确地预测能量系统的未来状态，同时优化其能量消耗。在本文中，我们介绍了一个可以在线MPC中使用的系统模型，包括动态编程作为优化策略。系统模型使用建筑和加热系统进行验证，包括热泵和热能存储。以下项目集团总结了系统型号配置的主要要求：？系统模型在少于1的低计算工作中快速执行快速？ s;？系统模型可以在线MPC实现;系统模型准确表示动态行为。

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