Visibility of Power Distribution Network Using Neural Network

Visibility and analysis of power networks and distribution of electricity are among the basic needs of electricity companies. Conventional methods of load calculation and distribution are very time consuming and complex. In this article, using neural network and machine learning algorithms, the voltage of different parts of the electrical network is investigated. In the proposed method, there is no need for different network parameters and even how the network is arranged because all the involved parameters are trained by neural network neurons. Finally, by simulation and machine learning, the unknown voltage of different parts of the network is obtained, through which the entire network is studied.