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基于模型预测控制的电力弹簧关键负载电压稳压策略

Voltage Regulation Strategy for Critical Loads in Electric Springs Based on Model Predictive Control

  • 摘要: 针对高比例可再生能源并网引发的微电网电压波动问题,本文提出了一种基于模型预测控制(Model Predictive Control, MPC)的二代电力弹簧(ES-2)电压控制策略。文章首先分析了ES-2的工作原理及其在感性、容性及阻性模式下的运行特性。其次,结合全桥逆变器与LC滤波器结构,建立了关键负载(CL)电压的离散化预测模型,通过构建以关键负载电压误差平方最小化为目标的性能指标函数,实现了对最优开关状态的选择,从而替代了传统的脉宽调制过程。最后,在MATLAB/Simulink平台上进行了仿真对比。实验结果表明,在网侧电压波动及多种工况下,与传统PI控制相比,所提MPC策略具有更快的动态响应速度。

     

    Abstract: Addressing the issue of microgrid voltage fluctuations caused by the high penetration of renewable energy sources, this paper proposes a voltage control strategy for the second-generation electric spring (ES-2) based on Model Predictive Control (MPC). Firstly, the operational principle of the ES-2 is analyzed, along with its operational characteristics in inductive, capacitive, and resistive modes. Secondly, a discretized predictive model for the critical load (CL) voltage is established, considering the structure of the full-bridge inverter and LC filter. By formulating a cost function aimed at minimizing the squared error of the critical load voltage, the optimal switching state is selected, thereby replacing the conventional pulse width modulation process. Finally, a simulation comparison is conducted on the MATLAB/Simulink platform. The experimental results indicate that, under grid-side voltage fluctuations and various operating conditions, the proposed MPC strategy exhibits a faster dynamic response compared to traditional PI control.

     

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