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

T. Nowak, M. Suriyah, T. Leibfried
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引用次数: 4

Abstract

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.
基于黑盒建模方法的集中式和分散式MPC的mmc -多终端高压直流系统功率跟踪
介绍并比较了一种基于mmc的多端高压直流系统电力跟踪的分散模型和集中模型预测控制方案。MPC方案需要一个预测,这是通过将高压直流系统作为一个黑箱来实现的。通过这种方法,可以使用MPC方案,而不需要详细了解被控系统,这简化了控制器的设计,并允许在更复杂的系统上使用这种方法。虽然集中式MPC实现了更好的性能,但分散式MPC更实用,因为它不需要终端之间的通信。本文研究了分散MPC与集中式MPC相比的性能损失,并介绍了一种通过迭代最小化非期望控制交互来提高分散MPC性能的新方法。该方法不仅适用于高压直流系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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