Model-Free Predictive Control of Multilevel DC–DC Converters for Energy Storage Applications

F. Bento, A. Cardoso
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Abstract

Multilevel DC–DC power conversion solutions reveal excellent features for implementation in energy management and storage applications, such as electric vehicle (EV) charging. Conventional control approaches applied to multilevel converters show weaknesses in preserving optimal conversion performance. Despite the potential improvements in terms of control robustness, attainable through the exploitation of model-based predictive control (MBPC) approaches, parameter sensitivity of such control approaches shows potential to deteriorate the response of the converter. To overcome such challenge, this paper describes a novel Model-Free Predictive Control (MFPC) approach suitable for multilevel DC–DC power converters, convening in a single solution the benefits of predictive control and insensitivity against parameter uncertainty, which is particularly concerning in energy storage applications. A set of operation scenarios confirm the effectiveness of the proposed MFPC in both steady- and transient-states.
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储能用多电平DC-DC变换器的无模型预测控制
多电平DC-DC电源转换解决方案显示了在能源管理和存储应用(如电动汽车(EV)充电)中实现的出色特性。应用于多电平变换器的传统控制方法在保持最佳转换性能方面存在缺陷。尽管利用基于模型的预测控制(MBPC)方法在控制鲁棒性方面有潜在的改进,但这种控制方法的参数灵敏度显示出可能会恶化转换器的响应。为了克服这一挑战,本文描述了一种适用于多电平DC-DC电源变换器的新型无模型预测控制(MFPC)方法,该方法将预测控制的优点和对参数不确定性的不敏感性集中在一个单一的解决方案中,这在储能应用中尤其受到关注。一组运行场景证实了所提出的MFPC在稳态和瞬态状态下的有效性。
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