A novel relaying approach of combined discrete wavelet transform and artificial neural network-based relaying scheme in a unified power flow controller integrated wind fed transmission line

2019 ◽  
Vol 5 (5/6) ◽  
pp. 287-303
Author(s):  
S.K. Mishra ◽  
L.N. Tripathy
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wavelet Transform ◽  
Transmission Line ◽  
Discrete Wavelet Transform ◽  
Power Flow ◽  
Unified Power Flow Controller ◽  
Discrete Wavelet ◽  
Artificial Neural ◽  
Power Flow Controller

scholarly journals Artificial-neural-network based unified power flow controller for mitigation of power oscillations

2021 ◽  
Vol 24 (3) ◽  
pp. 1323
Author(s):  
Vireshkumar Mathad ◽  
Gururaj Kulkarni
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Flow ◽  
Reactive Power ◽  
Pi Controller ◽  
Unified Power Flow Controller ◽  
Power Oscillations ◽  
Artificial Neural ◽  
Flow Controller ◽  
Power Flow Controller

The series and shunt control scheme of unified power flow controller (UPFC) impacts the performance and stability of the power system during power swing. UPFC is the most versatile and voltage source converter device as it can control the real and reactive power of the transmission system simultaneously or selectively. When any system is subjected to any disturbance or fault, there are many challenges in damping power oscillation using conventional methods. This paper presents the neural network-based controller that replaces the proportional-integral (PI) controller to minimize the power oscillations. The performance of the artificial neural network (ANN) controller is evaluated on IEEE 9 bus system and compared with a conventional PI controller.

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