Power Transformer Quality Risk Analysis And Management System Research

Currently, most quality risk management of power transformer is based on the condition assessment in the link of the operation, because the confusion of the key points as well as the lack of concern towards to the management in the early stages, it leads to much unnecessary waste of material resources and labor power. Besides, the potential quality risks are failed to eliminate. However, the potential safety hazard which appear in the link of the operation are often caused by risk factors in the whole life cycle. Therefore,a comprehensive analysis towards to the power transformer and reducing failure rate of it have a great significance for the stable operation of power system.This paper is base on the scientific project of Hebei: The research on the quality risk identification, assessment and control technology of power grid equipment(kj2013-065).through analysis of the influence of all kinds of power transformer faults on various aspects, the power transformer parts risk level evaluation model and the degree of fault hazard evaluation model are established. Then we track risk points for the faults based on the full life cycle and give a computational method of the risk sensitivity. At last a power transformer quality risk analysis platform is built.(1) Comprehensively considering the influence factors for risk level of each power transformer component, this paper puts forward the improved matter element method,establishes combination weighting extension model and gives the risk level order of each power transformer component. Because of the complex structure and various fault types of power transformers, this paper firstly decomposes the structure of power transformers and then uses the improved combination weighting extension model to determine risk level of each component, which is convenient to control the qulity of of the high risk level parts in the whole life cycle. What's more, the result can also be used for troubleshooting during the regular maintenance.(2) Based on the trapezoidal fuzzy numbers and TOPSIS, the importance degree evaluation model of the typical faults risk for various power transformer components is built. This paper establishes evaluation index system from six aspects, such as the influence of fault risk occurrences on system function, occurrence probability, the difficulty level of monitoring and so on. Finally, combined with trapezoidal fuzzy numbers and TOPSIS evaluation method, the evaluation model is established to evaluate the importance degree for typical faults of each power transformer component, and concrete examples is used to verify the validity of the model.(3) Because the research of power transformer quality problem mostly confined to operation condition assessment link, based on life cycle theory, this paper applies WBS-RBS and triangular fuzzy number to risk identification and sensitivity analysis.Firstly, to do work- risks decomposition for power transformer and identify risk points in life cycle according to the causes that of faults. Secondly, this paper do qualitative quantitative analysis combined with the modified method of triangular fuzzy number and fault tree, the the sensitivity of the risk points are obtained. It's convenient for the quality supervision staff to control risk points of each link efficiently. In this way, many manpower and material resources can be saved.(4) Based on the C# and SQL Sever software, the power transformer quality risk analysis platform is established. Because it is applied by modular design, which can make the interface and code phase separation. The System interface is simple, beautiful and perfect function, which is instructive for the application of practical engineering project.