Retraction: DSTATCOM Based on Artificial Neural Networks and Particle Swarm Optimization for Voltage Profile Improvement

ABSTRACT:

Recently the demand for electric power is increased due to increasing the residential and industrial facilities which may contain sensitive nonlinear loads that needed high power quality (PQ) on the distribution system to avoid malfunction operation. One main PQ issue is voltage profile improvement with acceptable voltage harmonic distortion. It should be regulated to be within acceptable standard levels. In order to improve the voltage profile, the distribution static synchronous compensator (DSTATCOM) is used with a developed control strategy. In this research, DSTATCOM control is developed based on artificial intelligent (AI) using the artificial neural network (ANN), which depends on optimum values obtained by using particle swarm optimization (PSO). The results of the simulation proved the superiority and robustness of the proposed control strategy of DSTATCOM for improving the voltage profile on the distribution system. The validation of results has been done by MATLAB/Simulink software package.

KEYWORDS: DSTATCOM, Artificial Neural Networks, PI controller, Power Quality,  Voltage Profile