Simulation of PQ Control in Grid-Connected Microgrid Mode

This document presents an in-depth exploration of PQ control simulation in grid-connected microgrid systems. The simulation involves implementing power control algorithms that maintain active power (P) and reactive power (Q) at specified reference values. Through MATLAB/Simulink modeling, we demonstrate how to achieve precise power regulation using dq-frame transformation and PI controllers.

PQ control, also known as power quality control, focuses on maintaining electrical power supply quality through voltage regulation, harmonic distortion reduction, and flicker minimization. In code implementation, this typically involves developing control loops that monitor real-time power measurements and adjust inverter outputs accordingly using Clarke and Park transformations for three-phase systems.

Microgrid networking integrates multiple distributed energy resources (DERs) like solar panels and wind turbines to create resilient power systems. The simulation architecture includes grid synchronization techniques using phase-locked loops (PLLs) and power calculation modules that compute instantaneous power values from voltage and current measurements.

The simulation considers multiple complex factors: power source specifications (implemented as controlled voltage sources with specific impedance characteristics), dynamic load profiles (modeled as variable impedances or constant power loads), and hierarchical control mechanisms. The control algorithm typically follows a nested structure with outer power loops setting current references for inner current control loops.

Key implementation aspects include: dq-axis decoupling control to independently regulate active and reactive power, anti-windup PI controllers to prevent integral saturation, and droop control implementations for power sharing among multiple sources. The simulation validates system stability under various operating conditions through time-domain analysis and frequency response evaluation.

This comprehensive simulation approach provides valuable insights for optimizing microgrid performance and contributes significantly to advanced energy management systems development. The documented methodology serves as a foundation for further research in renewable energy integration and smart grid technologies.