A Novel Approach for Discrimination Magnetizing Inrush Current and Internal Fault in Power Transformers Based on Neural Network
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 583
فایل این مقاله در 16 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JACR-6-3_003
تاریخ نمایه سازی: 16 شهریور 1395
چکیده مقاله:
One of the major problems that may occur in the differential protection systemsof power transformers is mal-operation of the protection relays in sake of internalfault detection, because of similarity between this current and inrush current. Thispaper presents a novel approach for discriminating inrush current from internalfault in power transformers based on Improved Gravitationl Search Algorithm(IGSA). For this purpose, an Artificial Neural Network (ANN) which is trained byIGSA has been applied to discrete sample data of internal fault and inrush currentsin the transformers. Results show that, the used approach can discriminate betweenthese two kinds of phenomenon, very well and also, has high accuracy and excellent reliability, in addition, it has less coputational burden and complexity.
کلیدواژه ها:
Activation Function ، Artificial Neural Network ، Differential Protection ، Improved Gravitational Search Algorithm ، Magnetizing Inrush Current ، and Transformer Fault
نویسندگان
Mehran Taghipour-Gorjikolaie
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
Mohammad Yazdani-Assrami
Department of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran
S.Asghar Gholamian
Department of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran
S.Mohammad Razavi
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran