基于切换模型的双向AC-DC变换器控制策略
发布时间:2018-08-02 15:32
【摘要】:双向AC-DC变换器作为交直流混合微电网的重要组成部分,对系统的稳定运行和功率的协调分配有着重要作用。本文基于切换系统理论,提出一种双向AC-DC切换控制方法。该方法首先建立双向AC-DC切换动态模型,选取系统的储能函数作为共同Lyapunov函数。基于此,设计了系统最优切换律并分析了该切换律条件下系统在切换平衡点处的稳定性。为了便于控制器数字化实现,建立了切换系统单步预测模型并对切换策略离散化。仿真和实验结果验证了本文所采用的建模方法和控制策略的有效性。
[Abstract]:As an important part of AC / DC hybrid microgrid, bi-directional AC-DC converter plays an important role in the stable operation of the system and the coordinated distribution of power. Based on the theory of switched systems, a two-way AC-DC switching control method is proposed in this paper. Firstly, the dynamic model of bidirectional AC-DC switching is established, and the energy storage function of the system is selected as the common Lyapunov function. Based on this, the optimal switching law is designed and the stability of the system at the switching equilibrium is analyzed. In order to realize the controller digitalization, the single step prediction model of switching system is established and the switching strategy is discretized. Simulation and experimental results show the effectiveness of the proposed modeling method and control strategy.
【作者单位】: 山东大学控制科学与工程学院;
【基金】:国家自然科学基金重大国际(地区)合作研究项目(61320106011) 国家自然科学基金(51107069;51377101)资助项目
【分类号】:TM46
[Abstract]:As an important part of AC / DC hybrid microgrid, bi-directional AC-DC converter plays an important role in the stable operation of the system and the coordinated distribution of power. Based on the theory of switched systems, a two-way AC-DC switching control method is proposed in this paper. Firstly, the dynamic model of bidirectional AC-DC switching is established, and the energy storage function of the system is selected as the common Lyapunov function. Based on this, the optimal switching law is designed and the stability of the system at the switching equilibrium is analyzed. In order to realize the controller digitalization, the single step prediction model of switching system is established and the switching strategy is discretized. Simulation and experimental results show the effectiveness of the proposed modeling method and control strategy.
【作者单位】: 山东大学控制科学与工程学院;
【基金】:国家自然科学基金重大国际(地区)合作研究项目(61320106011) 国家自然科学基金(51107069;51377101)资助项目
【分类号】:TM46
【参考文献】
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