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

عنوان مقاله: Voltage Security Margin and Load Limit of the System by Artificial Neural Network method
شناسه ملی مقاله: ECICONFE06_039
منتشر شده در ششمین همایش بین المللی مهندسی برق، علوم کامپیوتر و فناوری اطلاعات در سال 1400
مشخصات نویسندگان مقاله:

Mohammad Hossain Ojaghi - Department of Electrical and Computer Engineering, Azad University of Sarab, East Azerbaijan Province, Iran
Seyedeh Akram Salehi - Department of physics and energy engineering, Amirkabir University of technology, Tehran, Iran

خلاصه مقاله:
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.

کلمات کلیدی:
Artificial Intelligence, ANN, Voltage Stability, Newton Raphson, Load Ability Limit, MATLAB.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1433760/