Harmonics Analysis in Distribution Networks under Asymmetric Conditions of Electrical Loads

The existence of nonlinear loads in the distribution network causes many problems for distribution networks. These problems include losses, interference in the performance of protective systems, reduced lifetime of equipment and undesirable performance of motors and capacitors. In the structure of distribution networks, the growth of the use of electronic equipment and the presence of electronic converters have caused harmonic injection and reduced power quality in these networks. In this regard, the use of active filter equipment can reduce harmonics and improve power quality indices in distribution networks. In this paper, an optimization algorithm for teaching and learning is proposed to optimize the classical controller coefficients with the aim of reducing harmonics. Also, Multilayer Perceptron Neural Controller has been used to train algorithm based on intelligent algorithms to reduce network harmonics. The most important features of neural networks are nonlinearity and noise cancellation. In order to perform the simulation of software, the programming environment and simulation of MATLAB software is used.