Study On Decision System Of Transformer Fault Diagnosis And Maintenance Schedule

The fault diagnose of transformer is very important to the security and economic operation of power system. In this thesis ,an expert system for intelligent fault diagnose of transformer is be proposed, which based on widely collecting expert knowledge of fault diagnose of transformer, researching the cause and categories of transformer fault, researching the detecting technique and estimation flow of it. The system regards the analyzing of deliquescent gas in oil as main method for diagnosing inner delitescent fault. The system carries out a comprehensive diagnosing combined with diversified high voltage tests items and it can identify the sort of fault. This method effectively remedies the limitation of single means.The computer aided decision system of transformers maintenance schedule design is proposed according to the situation that the design is mainly manual made at present. On base of consulting a great amount of material, a deep research on the optimized method of the transformer maintenance schedule design is done in this paper, the integer programming model is set up and the GA(genetic algorithm) is adopted to get the optimized result.The multiplayer distributed software application system based on the B/S frame is developed combined with the project of HeZe Electric Power Company. It realized object of the computer aided decision for the transformers' intelligent diagnose and maintenance schedule.