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Multiple-shaft Turbine Model Reduction by Fractional-order Modeling

机译:通过分数阶建模简化多轴涡轮机模型

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Traditionally, turbines are usually represented by a single mass to simplify the analysis of its dynamics. However, without accurately modelling its multiple shafts, some dynamic issues such as sub-synchronous resonance may be overlooked. This paper proposes a fractional-order model optimization based model reduction approach to significantly reduce a large number of parameters in the detailed multiple-shaft turbine model while still keeping its accuracy. In this approach, an optimization problem is defined to minimize the frequency response difference between the reduced fractional-order model and the original complex integer-order model. The proposed approach is validated on an 11-shaft steam turbine and a 243shaft gas turbine within New England power system.
机译:传统上,涡轮通常由单个质量表示,以简化对其动力学的分析。但是,如果没有准确地对其多个轴建模,则可能会忽略某些动态问题,例如次同步共振。本文提出了一种基于分数阶模型优化的模型约简方法,可以在保留详细精度的前提下,大幅减少详细的多轴涡轮机模型中的大量参数。在这种方法中,定义了一个优化问题,以最大程度地减少简化的分数阶模型和原始复整数阶模型之间的频率响应差异。新英格兰电力系统中的11轴蒸汽轮机和243轴燃气轮机对所提出的方法进行了验证。

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