जर्नल ऑफ केमिकल इंजीनियरिंग एंड प्रोसेस टेक्नोलॉजी
खुला एक्सेस

अमूर्त

Power System Analysis and Application of Artificial Neural Networks

Alvaro Laurencio Pérez, Olga Pérez Maliuk, Igor Pérez Maliuk

The voltage imbalance in distribution networks is a very common element that influences the quality of the electricity supply, which is why its study generates great interest in several researchers. In this work, the electrical supply system of the Moa 2 circuit was statistically characterized, in terms of the IEEE criteria, and a neural network was implemented, whose function is to determine the voltage unbalance; for this, the MATLAB R2018 b software was used. Likewise, for the statistical analysis, the Minitab 6 tool was used. The voltage unbalance obtained in the Moa 2 circuit was described, with 83.17% of the unbalance results being less than or equal to 2%. The chosen neural network was a network with 15 and 10 neurons in hidden layer one and two, respectively, both with sigmoidal logarithmic transfer function and a neuron with linear transfer function in the output layer.