Study of different ANN algorithms for voltage stability analysis
Yükleniyor...
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Nowadays, voltage instability and voltage collapse have become the main issues studied in electrical power systems. The determination of the voltage security of a power system is not an easy task. It is a complex process which consumes a lot of time. In this paper, it was shown that Artificial Neural Network (ANN) can achieve the same results with high accuracy and quickly as conventional voltage stability calculation methods. For this purpose, loading parameter and Voltage Stability Margin Index (VSMI) were calculated using 8 different input variables and 14 different training functions. The proposed approach was carried out using the Power System Analysis Toolbox (PSAT) in MATLAB in the IEEE 57-bus test system. In the voltage stability problem, the most suitable parameters to be used in ANN have been found and the results of the application are promising. © 2020 IEEE.
Açıklama
2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- -- 165305
Anahtar Kelimeler
Artificial Neural Network, Continuation Power Flow, Training Functions, Voltage Stability
Kaynak
Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Aydın, F. ve Gümüş, B. (2020). Study of different ANN algorithms for voltage stability analysis. Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020.
