基于模糊综合评估模型与信息融合的电力变压器状态评估方法

针对电力变压器状态评估中存在多特征指标和多故障类型问题，提出一种基于模糊综合评估模型和皮尔逊相关系数的改进D-S证据理论的变压器状态评估方法。建立了变压器状态评估体系，引入层次分析方法和改进的三角梯形隶属函数确定特征指标的基本概率。基于皮尔逊相关系数的改进D-S证据理论融合不同特征指标以评判变压器综合状态评估。经过实例分析，该方法的评价结果与变压器实际运行状态一致，其准确率达到95.83%，验证了该方法的合理性和可行性。该方法对变压器状态评估具有一定的参考价值。

Condition assessment method for power transformers based on fuzzy comprehensiveevaluation and information fusion

There is a problem of multiple characteristic indices and multiple fault types in power transformer condition evaluation. Thus a state evaluation method of a converter transformer is proposed based on a fuzzy comprehensive assessment model and improved D-S evidence theory fusion of the Pearson correlation coefficient. The transformer condition assessment system is built, and the basic probability of the state index is obtained using hierarchical analysis and an improved triangular trapezoidal membership function. The Pearson correlation coefficient is used to improve the D-S evidence theory in adopting different characteristic indices, and then the assessing result of the transformer is obtained from comprehensive evaluation. In the case analysis, the diagnostic accuracy of this method can reach 95.83% by comparing the condition assessment result and the actual operation condition of every transformer. This can validate the feasibility and rationality of the method. This method has a certain reference value for transformer state evaluation.This work is supported by the National Natural Science Foundation of China (No. 61901101).