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Power tracking in a MMC-multi-terminal HVDC system with centralized and decentralized MPC using a black box modeling approach

机译:使用黑箱建模方法在具有集中式和分散式MPC的MMC多终端HVDC系统中进行功率跟踪

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This paper introduces and compares a decentralized and centralized model predictive control scheme for power tracking in a multi-terminal HVDC system based on MMCs. The MPC scheme requires a prediction, which is implemented by treating the HVDC system as a black box. With this approach it is possible to use an MPC scheme without detailed knowledge about the controlled system, which eases the design of the controller and allows using this method on more complex systems. While a centralized MPC achieves a better performance, a decentralized MPC is more practical, since it does not require communication between the terminals. This paper investigates the performance loss of decentralized MPCs compared to a centralized MPC and introduces a new method to increase the performance of decentralized MPCs by iteratively minimizing undesired control interactions. The proposed method is not limited to HVDC systems.
机译:本文介绍并比较了基于MMC的多终端HVDC系统中电力跟踪的分散式和集中式模型预测控制方案。 MPC方案要求进行预测,这是通过将HVDC系统视为黑匣子来实现的。通过这种方法,有可能使用MPC方案而无需了解有关受控系统的详细知识,从而简化了控制器的设计,并允许在更复杂的系统上使用此方法。虽然集中式MPC可以实现更好的性能,但分散式MPC则更实用,因为它不需要终端之间的通信。与分散式MPC相比,本文研究了分散式MPC的性能损失,并介绍了一种通过迭代地最小化不必要的控制交互来提高分散式MPC性能的新方法。所提出的方法不限于HVDC系统。

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