Simulation Study on PQ Control for Distributed Generation Systems

This study investigates PQ control strategies for distributed generation systems through MATLAB/Simulink simulations. The simulation framework can be implemented using Simulink blocks to model power electronic converters, control loops, and grid interface components. Key considerations during simulation include: grid voltage stability monitoring using voltage sensing blocks, grid frequency accuracy validation through phase-locked loops (PLL), and power factor control implementation via reactive power compensation algorithms. The study can explore various distributed generation types such as solar PV systems (modeled with PV arrays and DC/DC converters) and wind power systems (implemented with turbine models and AC/DC converters), analyzing their PQ control performance characteristics. Different operational scenarios can be simulated, including PQ control under varying load conditions (implemented through variable load blocks) and PQ control during grid fault conditions (simulated using fault condition blocks). These simulations typically involve developing control algorithms in MATLAB functions or Simulink subsystems to regulate active power (P) and reactive power (Q) injection. Through this research and simulation approach, engineers can better understand and optimize PQ control strategies for distributed generation systems, with potential implementation using Simulink's Power Systems工具箱 for detailed power electronics modeling.