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Load and Harmonic Forecasting for Optimal Transformer Loading and Life Time by Artificial Neural Network | ||
Journal of Advances in Computer Research | ||
شناسنامه علمی شماره، دوره 7، شماره 1، اردیبهشت 2016، صفحه 101-116 اصل مقاله (1 M) | ||
نویسندگان | ||
S.Mohammad Bagher Sadati* 1؛ Jamal Moshtagh1؛ Abdollah Rastgou2 | ||
1Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, PO Box 416, Kurdistan, Iran. | ||
2Faculty of Electrical and Electronics, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran. | ||
چکیده | ||
Proper operations of transformer have several issues such as; preventing of unscheduled removal’s, increasing of reliability and continues supply of consumer demand. This result would be obtained that load and harmonic orders of sensitivity transformer at intervals appropriate for next hours and days is predicted to by selecting optimal utilization coefficient, reduction life of transformer is prevented. A possible solution for load and harmonic orders forecasting is implementation of heuristically algorithm and method such as Artificial Neural Network (ANN). In this paper, firstly relationship between transformer loss and life and effect of harmonic on its, is evaluated. Then by ANN method, load and harmonic orders of 400KVA distribution transformer is predicted. Then by using of existing standards and programs written in MATLAB environment, Load ability or optimal utilization coefficient and life of transformer is calculated. | ||
کلیدواژهها | ||
Artificial Neural Network. Transformer Loss and Life؛ Load Ability؛ Harmonic Orders | ||
آمار تعداد مشاهده مقاله: 27,966 تعداد دریافت فایل اصل مقاله: 41,162 |