In this article, we propose a predictive model technique based on combined control for distributed generation unit (DGU) driven by the uncontrolled prime mover. The DGU constitutes of a permanent magnet synchronous generator, along with back-to-back converter, and is operated to supply distributed load at fixed voltage and frequency. The model predictive control is developed by using two cost functions for the generator-and load-side converters simultaneously. The cost function for the generator-side converter is generated in the synchronously rotating reference frame, whereas the load side is developed in the stationary reference frame. The cost functions are developed to maintain the power flow from the generator at the desired level of demand throughout the operation. The proposed controller identifies the switching state of the converters without using the pulse width modulation modulator. The DGU is, thus, controlled to maintain the load voltage and frequency, irrespective of the uncontrolled variation of the load impedance and speed of the prime mover. Additionally, the controller is tested with the variation of the active power component of the load voltage and deviation in the DC-link voltage. The implementation of the proposed control is performed in the simulation environment successfully. The experimental results are presented to validate the theoretical performances in a scaled laboratory prototype.

中文翻译：

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基于模型预测技术的PMSG分布式发电机组联合控制性能分析


在本文中，我们提出了一种基于组合控制的预测模型技术，用于由不受控原动机驱动的分布式发电单元（DGU）。 DGU 由永磁同步发电机和背靠背变流器组成，以固定电压和频率为分布式负载供电。模型预测控制是通过同时使用发电机侧和负载侧转换器的两个成本函数来开发的。发电机侧转换器的成本函数是在同步旋转参考系中生成的，而负载侧的成本函数是在静止参考系中生成的。成本函数的开发是为了在整个运行过程中将发电机的功率流维持在所需的需求水平。所提出的控制器在不使用脉宽调制调制器的情况下识别转换器的开关状态。因此，DGU 受到控制以维持负载电压和频率，而不管负载阻抗和原动机速度的不受控制的变化。此外，还通过负载电压的有功功率分量的变化和直流母线电压的偏差对控制器进行测试。所提出的控制方法已在仿真环境中成功实施。实验结果旨在验证规模化实验室原型中的理论性能。