The Research Of Power Transformer Fault Diagnosis Method Based On Quantum Bayesian Network

As the core equipment of ensuring the normal operation of power grid, the safe,reliable and economic operation of power transformer is closely related to the social economy, the residents live. Transformer fault is one of the major accidents in the electric power system, the fault diagnosis should quickly be controlled, it has a very important influence for the safety and reliability of the system and power operation cost.At the first, this paper makes the analysis of the system for the main transformer fault type. Relative to other electrical equipment, the mechanism structure of the power transformer is very complex, so the transformer fault mechanism is also very complicated, just using the classical intelligent computing, it already cannot satisfy the transformer fault diagnosis. According to complementary strategy and fusion thought of intelligent algorithm, it use the comprehensive fault diagnosis method of Bayesian network. Combined with the parallelism search of Quantum algorithm, it can make the speed and accuracy of fault diagnosis Bayesian networks improving,and obtain the minimum diagnosis time, improved Bayesian network, finally, it establish a model of transformer fault diagnosis based on Quantum Bayesian network,which has been proved to be efficient in dealing with problem of uncertainty. At the same time, using the theory of Bayesian network solid mathematical foundation,make fast diagnosis for the transformer fault. Combined with the instance analysis, it proves that the algorithm of combined with model has high diagnostic accuracy and reliability. Now Combining ratio method and BP neural network, and other classic algorithms, which have developed very maturely, it analyzes the advantages of Quantum Bayesian networks, and comparing results with samples, it is concluded that the algorithm is superior to other algorithms.At the end of paper, on the basis of theoretical research, it uses the mixed programming of MATLAB BNT toolbox and VC++ by calling MATLAB,transformer fault diagnosis system is designed based on the quantum Bayesian network. The system will clearly show out process of fault diagnosis, and make people more clearly understand the diagnosis process of this algorithm. It can constantly update, so that the performance of diagnosis system is improved. Theyprovide the results reference for the maintenance and repair work with transformer fault diagnostic.