Power quality analysis of industrial company based on data acquisition system, numerical algorithms and compensation results

The development of industrial and residential customers technologies and electric equipment affects the power quality parameters of distribution networks. When the supply voltage of distribution networks is distorted by nonlinear loads, then the equipment of customers draws non-sinusoidal currents from the network which can produce many technical problems. Thus, one of major research problem is to identify and characterize the technologies and equipment that pollute the networks. In this respect, the paper proposes a complex analysis of power quality parameters for real industrial consumer based on data acquisition system. Power quality parameters monitoring involves collecting and processing the voltage and current signals in different points of consumer power system. Each technological process of the factory is modeled by using Matlab procedures and the equipment that pollute are identified. The results are compared to the measured values and the errors are low. Finally are proposed actions in order to increase the power quality.