Voltage Security Margin and Load Limit of the System by Artificial Neural Network method

In this paper, the artificial neural network method is used to deal with the system voltage stability problem for the system load limit. Voltage stability has long been an important issue in the study of power system stability and so far many methods have been used to evaluate and diagnose system stability. Different methods are used to compensate and stabilize the voltage system. However, evaluation and diagnosis still play a significant role in the stability of the voltage system. In this paper, the artificial neural network method is used to evaluate stability. Newton Raphson's load distribution is used to solve this model. Modelling and implementation of this paper have taken the pattern ۳۰ BUS IEEE network test to show the efficiency of this paper.

کلیدواژه ها:

Artificial Intelligence ، ANN ، Voltage Stability ، Newton Raphson ، Load Ability Limit ، MATLAB.