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Information Journal Paper

Title

LOAD AND HARMONIC FORECASTING FOR OPTIMAL TRANSFORMER LOADING AND LIFE TIME BY ARTIFICIAL NEURAL NETWORK

Pages

  101-116

Abstract

 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.

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  • Cite

    APA: Copy

    SADATI, S.MOHAMMAD BAGHER, MOSHTAGH, JAMAL, & RASTGOU, ABDOLLAH. (2016). LOAD AND HARMONIC FORECASTING FOR OPTIMAL TRANSFORMER LOADING AND LIFE TIME BY ARTIFICIAL NEURAL NETWORK. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 7(1 (23)), 101-116. SID. https://sid.ir/paper/328823/en

    Vancouver: Copy

    SADATI S.MOHAMMAD BAGHER, MOSHTAGH JAMAL, RASTGOU ABDOLLAH. LOAD AND HARMONIC FORECASTING FOR OPTIMAL TRANSFORMER LOADING AND LIFE TIME BY ARTIFICIAL NEURAL NETWORK. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2016;7(1 (23)):101-116. Available from: https://sid.ir/paper/328823/en

    IEEE: Copy

    S.MOHAMMAD BAGHER SADATI, JAMAL MOSHTAGH, and ABDOLLAH RASTGOU, “LOAD AND HARMONIC FORECASTING FOR OPTIMAL TRANSFORMER LOADING AND LIFE TIME BY ARTIFICIAL NEURAL NETWORK,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 7, no. 1 (23), pp. 101–116, 2016, [Online]. Available: https://sid.ir/paper/328823/en

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