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An efficient algorithm to tuning PI-controller parameters for shunt active power filter using ant colony optimization

Berbaoui B., Benachaiba C., Rahli M., Tedjini H.

Przegląd Elektrotechniczny

2011

R. 87, nr 6

140-145

This paper presents an optimal control method entitled ant colony PI controller (ACO-PI) for extracting the reference compensating currents to shunt active power filter (SAPF) under balanced voltages conditions, which is applied to eliminate line current harmonics and compensate reactive power. Two different control methods has been proposed for SAPF based on proportional-integral (PI) controller and intelligent PI-controller with ACO are presented. The identification theory based on instantaneous power (p-q) is used to establish the suitable current reference signals. The simulation results show that the new control method using ACO approach is not only easy to be implanted, but also very effective in reducing the unwanted harmonics and compensating reactive power. The studies carried out have been accomplished using the MATLAB Simulink Power System Toolbox.

W artykule zaprezentowano wykorzystanie kontrolera PI bazującego na algorytmie mrówkowym ACO do sterowania aktywnym filtrem mocy. Zaproponowano dwie metody sterowania – z kontrolerem PI I kontrolerem ACO. Symulacje wykazały że nowy kontroler jest nie tylko łatwy do implementacji ale także efektywnie redukuje niepożądane harmoniczne i moc bierną.

Control imrovement of shunt active power filter using an optimized-PI controller based on ant colony algorithm and swarm optimization

Berbaoui B., Ferdi B., Benachaiba C., Dehini R.

Journal of Automation Mobile Robotics and Intelligent Systems

2010

Vol. 4, No. 4

19-25

In the last years, there has been a increase currents harmonics on electrical network injected by nonlinear loads, such as rectifier equipment used in telecommunication system, power suppliers, domestic appliances, ect. This paper makes a comparison of the effectiveness of the two methods on particular optimization problem, namely. The tuning of the parameters for PI DC link voltage to a shunt active power filter. The simulation results demonstrates that the optimized PI controller by ant colony (ACO) presents a advantage of little response time and best control performances compared to the optimized PI with Particle swarm (PSO). This comparison is shown on redu cing harmonic current supply (THD).