Power Transformer Fault Line Monitoring And Diagnostic System

The dissertation is about the study of transformer fault online diagnosis system, sponsored by Hunan EHV Power Transmission Company. A type of multi-level comprehensive fault decision model is built. Based on the diagnostic model, the dissolved gas-in-oil analysis and the results of conventional electrical tests of power transformers are combined tightly. The on-site experiences in operation, diagnosis and maintenance are highly utilized in the model. It has shown that the model possesses satisfactory capacity of knowledge representation and strong solving ability to deal with uncertain facts. At first, the importance of transformer faults online diagnosis technology and its development actuality are given briefly, the structure of the whole system and its work mechanism are introduced detailedly; Then the diagnostic theory and the model are discussed systematically? Combined with the reality of power transformer faults online diagnosis, the realization of methods of transformer faults diagnosis are presented in detail. In accordance with the basic principles of information fusion, all these methods are analysed and compared through simulation experiments and a new integrated diagnostic model is presented based on these methods; At last, the realization of the software is discussed which includes its structure, functions and key techniques.The system comprises three main sub-module which includes information collection module, data management module, fault diagnosis module. In fault diagnosis module, integrated diagnosis module is presented. The diagnostic precision is improved by the decision-making fusion network in which all diagnostic sub-modules based on different theories and mechanisms are fused. The system will contribute to the security of electric power network, the automatic and intelligent level of power equipment insulation condition diagnosis is enhanced greatly.