Optimization of PI Coefficients in DSTATCOM Nonlinear Controller for Regulating DC Voltage using Particle Swarm Optimization

TL;DR

This paper applies Particle Swarm Optimization to optimize PI controller coefficients in a nonlinear DSTATCOM system, improving DC voltage regulation and reducing voltage fluctuations compared to traditional trial-and-error methods.

Contribution

It introduces a PSO-based method for precise PI coefficient tuning in DSTATCOM, enhancing voltage stability over conventional trial-and-error approaches.

Findings

PSO-optimized PI coefficients lead to less voltage vibration.

The proposed method outperforms traditional trial-and-error tuning.

Simulation results confirm improved DC voltage regulation.

Abstract

Non-linear controller is preferred to linear controller due to non-linear operation of DSTATCOM. System dynamic can be improved by regulating and fixing the capacitor DC voltage in DSTATCOM. The nonlinear control is based on exact linearization via feedback. There is a PI controller in this system to regulate DC voltage. In conventional scheme, the trial and error method is used to determine PI values. Exact calculation to optimize PI coefficients can be carried out to reduce disturbances in DC link voltage and thus, in this paper, Particle Swarm Optimization is applied. As a result, Capacitor voltage tracks the reference values which have less vibration than conventional status. Both trial and error method and PSO are implemented. A set of corresponding diagrams achieved by these two methods are offered to demonstrate the effectiveness of new method. Optimizations and Simulations are worked out in MATLAB environment.