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International Journal of Engineering، جلد ۱۷، شماره ۲، صفحات ۱۳۱-۱۴۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Studies with a Generalized Neuron Based PSS on a Multi-Machine Power System |
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| چکیده انگلیسی مقاله |
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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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
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
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| نشانی اینترنتی |
http://www.ije.ir/article_71507_a68c7b5c8a40deb768f3557228d5a071.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2417235.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
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