Improvement of power system transient stability using Wavelet Neural Networks and FACTS devices

2011 ◽  
Author(s):  
S. Ganjefar ◽  
A. Ahmadi
Keyword(s):  
Neural Networks ◽  
Power System ◽  
Transient Stability ◽  
Wavelet Neural Networks ◽  
Facts Devices

Momentum-based wavelet and double wavelet neural networks for power system applications

2016 ◽  
Vol 29 (7) ◽  
pp. 495-511
Author(s):  
Subramaniam Nachimuthu Deepa ◽  
John Basha Rizwana
Keyword(s):  
Neural Networks ◽  
Power System ◽  
Wavelet Neural Networks

scholarly journals Improvement of Transient Stability Using Different-Different FACTS Devices

2020 ◽  
Vol 5 (2) ◽  
pp. 35-37
Author(s):  
Vipin Kumar Pandey ◽  
Dr. Malay S Das ◽  
Dr. Anula Khare
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Electrical Power ◽  
Power Demand ◽  
Electrical Power System ◽  
Industrial Growth ◽  
Voltage Instability ◽  
Facts Devices ◽  
Transfer Capability ◽  
The Stability

Due to increase in population and industrial growth, insufficient energy resources to generate or transmit the power in power system, increase in load causes power demand in the electrical power system. These power demand leads to voltage instability, increase the losses, reduces the power transfer capability and stability of the power system. To overcome this stability problem FACTS devices are optimally located in the power system to examine the stability of the system. To locate the FACTS devices different optimization algorithms are used in order to improve the stability of the electrical power system.

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