光伏系统的约束型网侧变流器控制：控制障碍函数方法
Constrained Grid-Forming Control for Photovoltaic Systems: A Control Barrier Function Approach
AI总结：
本文提出一种结合控制障碍函数（CBFs）的双端口GFM控制，通过MATLAB/Simulink仿真验证其可保障光伏系统在电网故障等工况下安全可靠运行。
摘要：
本文利用控制障碍函数（CBFs）系统地考虑电压源变流器（VSCs）和光伏（PV）资源在网侧变流器（GFM）控制中的约束。所提出的控制方法将（无约束的）双端口GFM控制与控制障碍函数（CBFs）相结合，以确保GFM光伏系统在电网故障、辐照度突然变化和负载扰动下的可靠安全运行。首先，CBFs用于编码光伏系统的物理和运行极限，即其交流和直流端的电流和电压极限。然后，CBFs用于在暂态和稳态期间将双端口GFM控制的动态限制在VSC和光伏极限内。为此，定义了一个代价函数，该函数编码了在约束下形成交流电压相位角/频率与电压幅值之间的权衡。接着，使用实时优化对（无约束的）双端口GFM控制状态进行最小程度的修改（以代价函数衡量），以保持在CBFs编码的安全集合内。最后，通过MATLAB/Simulink中的电磁暂态（EMT）仿真评估所开发的约束型GFM控制的性能。
英文摘要：
This paper leverages control barrier functions (CBFs) to systematically account for constraints of voltage source converters (VSCs) and photovoltaic (PV) resources in grid-forming (GFM) control. The proposed control combines (unconstrained) dual-port GFM control with control barrier functions (CBFs) to ensure reliable and safe operation of a GFM PV system under grid faults, sudden changes in irradiance, and load perturbations. First, CBFs are used to encode physical and operational limits of the PV system, namely current and voltage limits at its ac and dc terminals. Then, CBFs are used to restrict the dynamics of dual-port GFM control to within the VSC and PV limits during both transient and steady states. To this end, a cost function is defined that encodes trade-offs between forming the ac voltage phase angle/frequency and voltage magnitude under constraints. Then, real-time optimization is used to make the least modification, as measured by the cost function, to the (unconstrained) dual-port GFM control state to remain within the safe set encoded by the CBFs. Finally, the performance of the developed constrained GFM control is evaluated through EMT simulations in MATLAB/Simulink.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
