|
|
International Journal of Engineering، جلد ۳۷، شماره ۱۱، صفحات ۲۱۹۲-۲۱۹۹
|
|
|
| عنوان فارسی |
|
|
| چکیده فارسی مقاله |
|
|
| کلیدواژه‌های فارسی مقاله |
|
|
| عنوان انگلیسی |
Using Artificial Neural Network Methods to Increase the Sensitivity of Distance Protection |
|
| چکیده انگلیسی مقاله |
To protect power lines, distance relays are used which can rely on a modified distance resistance. But usually the operating range of these relays changes as the network conditions change (network topology, load value, output value, etc.) and leads to false trips, by using methods that can process information and recognize patterns. For example, the use of micro and intelligent processor algorithms can use the new relays with high precision and thus provide adequate protection. In this study, a distance relay was modeled using a neural network, and it was observed that the neural relay had higher accuracy than the conventional relay. In addition to detecting the fault and its location, type and phase of the fault, three-stage simultaneous protection can be performed. As a result, the number of linear relays can be reduced by using relays based on neural technologies. An MLP (multilayer perceptron) neural network is used to model a sequence of distances. |
|
| کلیدواژه‌های انگلیسی مقاله |
Energy,distributed generation,Artificial Neural Networks,network,Transmission network,Protection Algorithms,Distance protection |
|
| نویسندگان مقاله |
D. Ustinov Anatolevich |
Department of Electricity and Electromechanics of St. Petersburg Mining University, St. Petersburg, Russia
A. Abou Rashid |
Department of Electricity and Electromechanics of St. Petersburg Mining University, St. Petersburg, Russia
|
|
| نشانی اینترنتی |
https://www.ije.ir/article_195793_92db97e682b8bc9d2ef32b49b06d82fe.pdf |
| فایل مقاله |
فایلی برای مقاله ذخیره نشده است |
| کد مقاله (doi) |
|
| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
|
| نوع مقاله منتشر شده |
|
|
|
|
برگشت به:
صفحه اول پایگاه |
نسخه مرتبط |
نشریه مرتبط |
فهرست نشریات
|