Load and Harmonic Forecasting for Optimal Transformer Loading and Life Time by Artificial Neural Network
محورهای موضوعی : B. Computer Systems OrganizationS.Mohammad Bagher Sadati 1 , Jamal Moshtagh 2 , Abdollah Rastgou 3
1 - Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, PO Box 416, Kurdistan, Iran.
2 - Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, PO Box 416, Kurdistan, Iran.
3 - Faculty of Electrical and Electronics, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
کلید واژه: Artificial Neural Network. Transformer Loss and Life, Load Ability, Harmonic Orders,
چکیده مقاله :
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.
