Studies with a Generalized Neuron Based PSS on a Multi-Machine Power System
Publish Year: 1383
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-17-6_003
تاریخ نمایه سازی: 19 اسفند 1400
Abstract:
An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these drawbacks, a generalized neuron based non-linear controller has been developed and illustrated as a power system stabilizer. Studies on a five machine power system show that the proposed controller can significantly improve the dynamic performance and provide good damping of the power system over a wide operating range.
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Authors
P. K. Kalra
Electerical Engineering, Indian Institute of Technology
O. P. Malik
Department of Electrical and Computer Engineering, University of Calgary
D. K. Chaturvedi
Engineering, Dayalbagh Educational Institute