How neural networks can improve the performance of electrical power systems?

Abstract

As a new technology, artificial neural network is applied in more and more fields. It is not only popular in the computer field, but also in the traditional energy system. Artificial neural network can solve the problem that which traditional methods used in power system are having difficulty about speed, accuracy and efficiency. This paper will introduce the types of artificial neural networks and its application in power system to analyze how artificial neural networks improve the efficiency of power system. Artificial neural networks have been studied since the 1980s with the rise of artificial intelligence and are dedicated to using nonlinear adaptive information processing capabilities to handle information that cannot be processed by traditional methods. Additionally, applicability of artificial neural network to the collection of clean electricity such as wind energy, solar energy, and tidal energy is discussed. And how ANN can help people choose the right location to build power stations under the interference of complex natural environmental factors. Finally, the defects in the current power system and the possible future development direction of artificial neural networks is explained.