General Power Quality Control Algorithms Can Be Simulated Using MATLAB

General power quality control algorithms are core technologies in power systems used to improve power supply quality, with common applications including harmonic suppression, voltage flicker compensation, and reactive power regulation. Using MATLAB for simulation effectively validates algorithm performance, benefiting from its rich power system toolboxes and flexible modeling capabilities.

A typical implementation approach generally involves three steps: first, establishing mathematical models of the grid and loads, particularly modeling harmonic characteristics of nonlinear loads; second, designing control algorithms such as PQ control based on instantaneous reactive power theory or adaptive filters; finally, building closed-loop systems through Simulink to observe the algorithm's improvement effects on voltage/current waveforms.

Simulations should focus on key performance indicators like dynamic response speed and steady-state accuracy. Advanced techniques include combining FFT analysis to measure total harmonic distortion (THD), or using S-functions to implement custom control logic. This virtual testing approach significantly reduces risks associated with debugging actual power equipment.