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The transformer dynamic load intelligent management system is used to solve the problems of low operating efficiency of large transformers, difficulty in internal temperature monitoring, and limited operation of transformers under heavy (over) load, and to improve the operating efficiency of transformers without affecting the service life and safe operation of transformers.


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The on-line monitoring technology of the dissolved gas composition in the transformer oil can detect the defects or performance deterioration of the equipment as early as possible, provide the judgment basis for the operation and maintenance of the transformer, and improve the reliability of power supply. The traditional on-line chromatographic analysis method is complicated to operate, cumbersome procedures, long monitoring cycle, and high maintenance cost in the later period, which is prone to false alarm or alarm rejection.


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The transformer state integrated intelligent perception system is designed to realize the real-time perception of the thermal field calculation, dynamic assessment of overload capacity and abnormal insulation state of the transformer, reduce the workload of transformer maintenance, reduce the maintenance cost, and provide guarantee for the reliable operation of the substation. Indoor cabinet Transformer state comprehensive intelligent analysis device Sensors of each monitoring module Outdoor cabinet data management platform ■ Main functions 1) Monitoring of thermal field and load capacity of transformer A. thermal field analysis and calculation: real-time calculation of transformer internal top oil temperature rise, oil average temperature rise, line oil temperature difference, winding average temperature rise, winding hot spot temperature rise, and early warning according to the corresponding information. B. with load capacity assessment: real-time assessment of the transformer under the current operating conditions of the safe operation time, set the load (such as N-1 mode) under the maximum safe operation time, set the time (such as half an hour) under the maximum operating load, draw overload capacity curve. c. Life loss assessment (optional): real-time assessment of transformer life loss based on real-time load, operating temperature and other information. 2) Insulation condition monitoring A. partial discharge monitoring: draw transformer partial discharge phase distribution diagram (PRPD), pulse sequence phase distribution diagram (PRPS), identify the type of partial discharge. B. Vibration and noise monitoring: analyze and extract the characteristic values of vibration signal and noise signal, and effectively identify and alarm abnormal vibration and noise based on multi-variable (energy ratio, complexity, harmonic ratio, etc.) online monitoring data. C. core grounding current monitoring: draw the core grounding current waveform and historical waveform trend chart, set the alarm limit according to the alarm, and timely find the hidden dangers and faults of transformer shell grounding. 3) Comprehensive condition assessment The system cooperates with a variety of state parameter analysis conclusions, and puts forward operation suggestions for the transformer to help the transformer operate economically and safely. ■ Main technical indicators 1) Applicable to oil-immersed transformers with voltage level of 110kV and above; 2) Evaluation time of each module and comprehensive status:<30s.


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