- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
In this paper, an effort has been made to explore the usefulness of DP (Degree of Polymerization) of cellulosic insulation paper (CIP) to monitor the condition of the transformer. The residual life of CIP of the oil-immerged power transformer is determined by detecting the content of dissolved carbon oxide and 2-FAL gases in oil. The proposed work employs Fuzzy Inference System (FIS), which offers preeminent response for calculating extent of degradation of the CIP. Using the FIS the final condition of CIP is categorized as AI (Acceptable Insulation), MD (Moderate Deterioration), ED (Extensive Deterioration) and UR (Urgent Replacement) from correlation between accumulated values of 2-FAL, CO and CO2 with DP. Furthermore, the best fuzzy membership function has been obtained for the experimental test condition. Finally the results obtained shows that the proposed method accurately monitors the condition of CIP in the oil-immerged power transformers.
In this work, existing correlation between 2-FAL, CO2 and CO with the value of DP is exploited to access the condition of CIP. This paper is an attempt to monitor the condition of CIP in oil-immerged transformers by means of Fuzzy based model. The model provides the status of the transformer insulation where DP is used as index of failure. The proposed model successfully predicts the value of DP on the basis of concentration of 2-FAL, CO2and CO gases in oil. Performance of the FIS is tested using different membership function. Results of the model are compared with experimental data and comparison shows that the predicted DP values with trapezoidal membership function are having minimum deviation from the experimental values of DP. The information obtained from the model can be used for condition based maintenance of oil-immerged power transformer and in order to enhance its useful operating life.